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Dr. Morteza Nazari-Heris
Department of Architectural Engineering, Pennsylvania State University, University Park, ‎State College, PA 16802, USA

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Research Keywords & Expertise

0 Demand-side Management
0 Energy Management
0 Renewable Energy
0 Zero energy buildings
0 Heuristic optimization methods

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Renewable Energy
Energy Management
Demand-side Management
Heuristic optimization methods

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Book chapter
Published: 07 May 2021 in Energy Storage in Energy Markets
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Energy management is of paramount importance due to rising energy demand in the world and energy consumption costs. As one of the energy management processes, energy storage systems (ESSs) are known as essential equipment throughout energy markets. Energy can be produced and used in a variety of types in the electricity markets, each having its own storage system. ESSs enjoy specific technologies that can be discussed in terms of various aspects such as structure, charge and discharge, life cycle, reliability, size, and cost. Another aspect that is important in the literature on ESSs is how each type of such system works in electricity markets. This debate can be considered as one of the most economically fundamental issues for both energy producers and energy consumers in the electricity market. This chapter gives an overview of the importance of ESSs as one of the most important factors in energy management in the electricity market. Given some of the energy waste issues in most parts of the world that have become a critical issue and have led to many challenges, various types of ESSs have been introduced to play a role in energy saving and optimal utilization in some way. After introducing different types of ESSs in the chapter, the operation approaches of the ESSs in different aspects of the electricity markets will be examined. Finally, with a principal overview, the current status and the role of ESSs in the world will be reviewed considering their positive and negative effects in electricity markets.

ACS Style

Arash Moradzadeh; Morteza Nazari-Heris; Behnam Mohammadi-Ivatloo; Somayeh Asadi. Energy storage fundamentals and components. Energy Storage in Energy Markets 2021, 23 -39.

AMA Style

Arash Moradzadeh, Morteza Nazari-Heris, Behnam Mohammadi-Ivatloo, Somayeh Asadi. Energy storage fundamentals and components. Energy Storage in Energy Markets. 2021; ():23-39.

Chicago/Turabian Style

Arash Moradzadeh; Morteza Nazari-Heris; Behnam Mohammadi-Ivatloo; Somayeh Asadi. 2021. "Energy storage fundamentals and components." Energy Storage in Energy Markets , no. : 23-39.

Book chapter
Published: 07 May 2021 in Energy Storage in Energy Markets
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The energy market is basically a market handling process specifically with the trade and provision of energy, which may refer to the electrical energy market or other energy resources. Energy markets are known as a fast-growing and complicated sector considering their significant role in the global economies, the necessity of this sector in power and gas supply, and financial concerns of energy. This chapter aims to provide a comprehensive and updated review of the basics and operation models of the energy markets from the initial appearance to the status. This study concentrates on electrical energy markets since the primary reasons for the appearance of the energy markets are generation and transmission of electrical energy. The main challenges and dealings of the electrical energy markets, as well as various types of electrical energy markets, will be discussed in this chapter, and the fundamentals of their operation will be introduced. Various models will be proposed for the operation of energy markets and a deep comparison will be performed in terms of performance level and the advantages/disadvantages of the models will be determined.

ACS Style

Fariba Mousavi; Morteza Nazari-Heris; Behnam Mohammadi-Ivatloo; Somayeh Asadi. Energy market fundamentals and overview. Energy Storage in Energy Markets 2021, 1 -21.

AMA Style

Fariba Mousavi, Morteza Nazari-Heris, Behnam Mohammadi-Ivatloo, Somayeh Asadi. Energy market fundamentals and overview. Energy Storage in Energy Markets. 2021; ():1-21.

Chicago/Turabian Style

Fariba Mousavi; Morteza Nazari-Heris; Behnam Mohammadi-Ivatloo; Somayeh Asadi. 2021. "Energy market fundamentals and overview." Energy Storage in Energy Markets , no. : 1-21.

Review
Published: 06 April 2021 in Numerical Methods for Energy Applications
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The operation of multi-carrier energy networks is a realistic viewpoint of the operation of energy systems connected, considering their interconnecting elements. The operation of multi-carrier energy networks has been studied in the literature with different concentrations, including the objectives considered in the operation of such systems, varieties of energy carriers, and uncertainties associated with parameters of such systems. This chapter aims to provide a comprehensive review of the operation of multi-carrier energy systems with different viewpoints including the abovementioned classification. Accordingly, the operation of multi-carrier energy systems with different objectives is discussed, and various energy carriers in multi-carrier energy systems are introduced. The uncertainty-handling methods in operation of multi-carrier energy systems are studied as well as the risk-based option of such systems.

ACS Style

Mehrdad Ghahramani; Milad Sadat-Mohammadi; Morteza Nazari-Heris; Somayeh Asadi; Behnam Mohammadi-Ivatloo. Introduction and Literature Review of the Operation of Multi-carrier Energy Networks. Numerical Methods for Energy Applications 2021, 39 -57.

AMA Style

Mehrdad Ghahramani, Milad Sadat-Mohammadi, Morteza Nazari-Heris, Somayeh Asadi, Behnam Mohammadi-Ivatloo. Introduction and Literature Review of the Operation of Multi-carrier Energy Networks. Numerical Methods for Energy Applications. 2021; ():39-57.

Chicago/Turabian Style

Mehrdad Ghahramani; Milad Sadat-Mohammadi; Morteza Nazari-Heris; Somayeh Asadi; Behnam Mohammadi-Ivatloo. 2021. "Introduction and Literature Review of the Operation of Multi-carrier Energy Networks." Numerical Methods for Energy Applications , no. : 39-57.

Journal article
Published: 02 December 2020 in Sustainability
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In recent years, energy consumption has notably been increasing. This poses a challenge to the power grid operators due to the management and control of the energy supply and consumption. Here, energy commitment is an index criterion useful to specify the quality level and the development of human life. Henceforth, continuity of long-term access to resources and energy delivery requires an appropriate methodology that must consider energy scheduling such as an economic and strategic priority, in which primary energy carriers play an important role. The integrated energy networks such as power and gas systems lead the possibility to minimize the operating costs; this is based on the conversion of energy from one form to another and considering the starting energy in various types. Therefore, the studies toward multi-carrier energy systems are growing up taking into account the interconnection among various energy carriers and the penetration of energy storage technologies in such systems. In this paper, using dynamic programming and genetic algorithm, the energy commitment of an energy network that includes gas and electrical energy is carried out. The studied multi-carrier energy system has considered defending parties including transportation, industrial and agriculture sectors, residential, commercial, and industrial consumers. The proposed study is mathematically modeled and implemented on an energy grid with four power plants and different energy consumption sectors for a 24-h energy study period. In this simulation, an appropriate pattern of using energy carriers to supply energy demand is determined. Simulation results and analysis show that energy carriers can be used efficiently using the proposed energy commitment method.

ACS Style

Mohammad Dehghani; Mohammad Mardaneh; Om Malik; Josep Guerrero; Carlos Sotelo; David Sotelo; Morteza Nazari-Heris; Kamal Al-Haddad; Ricardo Ramirez-Mendoza. Genetic Algorithm for Energy Commitment in a Power System Supplied by Multiple Energy Carriers. Sustainability 2020, 12, 10053 .

AMA Style

Mohammad Dehghani, Mohammad Mardaneh, Om Malik, Josep Guerrero, Carlos Sotelo, David Sotelo, Morteza Nazari-Heris, Kamal Al-Haddad, Ricardo Ramirez-Mendoza. Genetic Algorithm for Energy Commitment in a Power System Supplied by Multiple Energy Carriers. Sustainability. 2020; 12 (23):10053.

Chicago/Turabian Style

Mohammad Dehghani; Mohammad Mardaneh; Om Malik; Josep Guerrero; Carlos Sotelo; David Sotelo; Morteza Nazari-Heris; Kamal Al-Haddad; Ricardo Ramirez-Mendoza. 2020. "Genetic Algorithm for Energy Commitment in a Power System Supplied by Multiple Energy Carriers." Sustainability 12, no. 23: 10053.

Book chapter
Published: 27 November 2020 in Hybrid Energy System Models
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The combined heat and power (CHP) economic dispatch determines the optimal power and heat supply of different generation units such as CHP plants, thermal generation units, and boilers with minimum operation cost. The CHP technology is beneficial in terms of increasing the efficiency of heat and power load supply up to 90%. In addition, such technology can decrease the emission of environmental pollutant gases by 13%–18%. This chapter aims to study economic dispatch of large-scale hybrid heat and power systems by using a novel harmony search approach. The proposed heuristic optimization approach will be applied on two large-scale test systems in order to investigate the capability of the method in decreasing the operation cost of supplying heat and power loads. The introduced improved harmony search (IHS) optimization procedure is employed on a large-scale cogeneration network containing 84 generation plants and 96 production plants to investigate the effectiveness of the IHS concept. Simulation results are reported for the two abovementioned case studies as large-scale heat and power systems with detailed discussion and analysis. In addition, the results of this method are compared with those obtained in previous studies, which shows the high performance of the optimization procedure in terms of operation cost and convergence speed.

ACS Style

Amir Fakhim-Babaei; Morteza Nazari-Heris; Behnam Mohammadi-Ivatloo; Somayeh Asadi. Economic dispatch of large-scale integrated heat and power systems by application of a novel harmony search approach. Hybrid Energy System Models 2020, 279 -296.

AMA Style

Amir Fakhim-Babaei, Morteza Nazari-Heris, Behnam Mohammadi-Ivatloo, Somayeh Asadi. Economic dispatch of large-scale integrated heat and power systems by application of a novel harmony search approach. Hybrid Energy System Models. 2020; ():279-296.

Chicago/Turabian Style

Amir Fakhim-Babaei; Morteza Nazari-Heris; Behnam Mohammadi-Ivatloo; Somayeh Asadi. 2020. "Economic dispatch of large-scale integrated heat and power systems by application of a novel harmony search approach." Hybrid Energy System Models , no. : 279-296.

Journal article
Published: 17 November 2020 in IEEE Access
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This study presents a bi-level framework to obtain optimal energy management of electrical energy storage (EES) units in power systems by minimizing the operation cost of the system to satisfy daily demand and by maximizing the benefit of storage units’ owner. Two agents are considered consisting of the power system operator and the owner of EES units. The former seeks to determine the minimum operation cost of the system in providing the system load, while the latter seeks to provide its maximum profit. The power system operator has the option to supply energy by the thermal generation plants or from the storage units. The proposed bi-level model provides optimal operation strategies for both the EES owner in the outer level and the power system operator in the inner one. In other words, the decision making of the power system operator is taken into account explicitly in optimal charge/discharge scheduling of EES owner in the introduced bi-level framework. The introduced bi-level approach is applied to the IEEE RTS 24-bus network in order to assess the performance of the model.

ACS Style

Morteza Nazari-Heris; Behnam Mohammadi-Ivatloo; Amjad Anvari-Moghaddam; Reza Razzaghi. A Bi-Level Framework for Optimal Energy Management of Electrical Energy Storage Units in Power Systems. IEEE Access 2020, 8, 216141 -216150.

AMA Style

Morteza Nazari-Heris, Behnam Mohammadi-Ivatloo, Amjad Anvari-Moghaddam, Reza Razzaghi. A Bi-Level Framework for Optimal Energy Management of Electrical Energy Storage Units in Power Systems. IEEE Access. 2020; 8 (99):216141-216150.

Chicago/Turabian Style

Morteza Nazari-Heris; Behnam Mohammadi-Ivatloo; Amjad Anvari-Moghaddam; Reza Razzaghi. 2020. "A Bi-Level Framework for Optimal Energy Management of Electrical Energy Storage Units in Power Systems." IEEE Access 8, no. 99: 216141-216150.

Conference paper
Published: 09 November 2020 in Construction Research Congress 2020
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The integration of renewable energy resources and hybrid plug-in electric vehicles (PHEVs) to the power grid plays an important role in responding to the increasing demand for electrical energy all over the world. In this paper, the authors aim to propose an improved scheduling model for home appliances and PHEV considering battery pack degradation cost and incentives for the vehicle to grid (V2G) service. The significant number of PHEVs provides an opportunity for storing electric energy in residential buildings and supplying the grid energy shortage. The stored energy can be delivered to the power grid at peak hours, which is called V2G service. It is clear that although V2G service provides attractive revenue opportunities, operating the electric vehicles in V2G mode imposes extra degradation cost on owners; therefore, battery-pack degradation cost in V2G service should be considered in the optimal scheduling of its operation. A semi-empirical lithium-ion battery degradation model is used for degradation cost analysis of PHEV battery pack due to the characteristics such as accuracy and low computational load. The proposed model is implemented on a case study to investigate the influence of degradation cost and incentives on the operation of PHEV in charging or V2G mode.

ACS Style

Milad Sadat-Mohammadi; Morteza Nazari-Heris; Somayeh Asadi; Houtan Jebelli. An Incentive-Based Vehicle to Grid Service in Electrical Energy Networks Considering the Effect of Battery Degradation Cost. Construction Research Congress 2020 2020, 314 -321.

AMA Style

Milad Sadat-Mohammadi, Morteza Nazari-Heris, Somayeh Asadi, Houtan Jebelli. An Incentive-Based Vehicle to Grid Service in Electrical Energy Networks Considering the Effect of Battery Degradation Cost. Construction Research Congress 2020. 2020; ():314-321.

Chicago/Turabian Style

Milad Sadat-Mohammadi; Morteza Nazari-Heris; Somayeh Asadi; Houtan Jebelli. 2020. "An Incentive-Based Vehicle to Grid Service in Electrical Energy Networks Considering the Effect of Battery Degradation Cost." Construction Research Congress 2020 , no. : 314-321.

Conference paper
Published: 09 November 2020 in Construction Research Congress 2020
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Interconnection between power infrastructure and gas networks is of great importance especially with the occurrence of restructuring in such energy systems, which can be investigated by evaluating the effect of each network on the performance and efficiency of the other interconnected network. This paper aims to propose a robust energy management framework of integrated power infrastructure and gas networks considering the effect of renewable energy sources and gas/non-gas fired power generation plants. The main objective of the proposed robust framework is to provide a robust decision-making process against uncertainties associated with power system parameters such as energy market prices. Consequently, the robust optimization method will be implemented to study the uncertain parameters of the integrated network. In addition, the proposed model aims to investigate the effect of interconnectivity between power infrastructure and gas networks (i.e., power system and natural gas network constraints) on the daily schedule of power generation plants, gas suppliers, and performance of the networks. The proposed model is applied to a 6-node natural gas network and a modified 6-node electric power system with the penetration of renewable energy sources to investigate the performance of the proposed model.

ACS Style

Morteza Nazari-Heris; Milad Sadat-Mohammadi; Mohammad Amin Mirzaei; Somayeh Asadi; Behnam Mohammadi-Ivatloo; Houtan Jebelli. Robust Energy Management of Integrated Power Infrastructure and Gas Networks with High Penetration of Renewable Energy Sources. Construction Research Congress 2020 2020, 501 -511.

AMA Style

Morteza Nazari-Heris, Milad Sadat-Mohammadi, Mohammad Amin Mirzaei, Somayeh Asadi, Behnam Mohammadi-Ivatloo, Houtan Jebelli. Robust Energy Management of Integrated Power Infrastructure and Gas Networks with High Penetration of Renewable Energy Sources. Construction Research Congress 2020. 2020; ():501-511.

Chicago/Turabian Style

Morteza Nazari-Heris; Milad Sadat-Mohammadi; Mohammad Amin Mirzaei; Somayeh Asadi; Behnam Mohammadi-Ivatloo; Houtan Jebelli. 2020. "Robust Energy Management of Integrated Power Infrastructure and Gas Networks with High Penetration of Renewable Energy Sources." Construction Research Congress 2020 , no. : 501-511.

Journal article
Published: 03 October 2020 in Electric Power Systems Research
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ACS Style

Sadjad Galvani; Behnam Mohammadi-Ivatloo; Morteza Nazari-Heris; Saeed Rezaeian-Marjani. Optimal allocation of static synchronous series compensator (SSSC) in wind-integrated power system considering predictability. Electric Power Systems Research 2020, 191, 1 .

AMA Style

Sadjad Galvani, Behnam Mohammadi-Ivatloo, Morteza Nazari-Heris, Saeed Rezaeian-Marjani. Optimal allocation of static synchronous series compensator (SSSC) in wind-integrated power system considering predictability. Electric Power Systems Research. 2020; 191 ():1.

Chicago/Turabian Style

Sadjad Galvani; Behnam Mohammadi-Ivatloo; Morteza Nazari-Heris; Saeed Rezaeian-Marjani. 2020. "Optimal allocation of static synchronous series compensator (SSSC) in wind-integrated power system considering predictability." Electric Power Systems Research 191, no. : 1.

Journal article
Published: 07 September 2020 in Sustainability
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The high penetration rate of renewable energy sources (RESs) in smart energy systems has both threat and opportunity consequences. On the positive side, it is inevitable that RESs are beneficial with respect to conventional energy resources from the environmental aspects. On the negative side, the RESs are a great source of uncertainty, which will make challenges for the system operators to cope with. To tackle the issues of the negative side, there are several methods to deal with intermittent RESs, such as electrical and thermal energy storage systems (TESSs). In fact, pairing RESs to electrical energy storage systems (ESSs) has favorable economic opportunities for the facility owners and power grid operators (PGO), simultaneously. Moreover, the application of demand-side management approaches, such as demand response programs (DRPs) on flexible loads, specifically thermal loads, is an effective solution through the system operation. To this end, in this work, an air conditioning system (A/C system) with a TESS has been studied as a way of volatility compensation of the wind farm forecast-errors (WFFEs). Additionally, the WFFEs are investigated from multiple visions to assist the dispatch of the storage facilities. The operation design is presented for the A/C systems in both day-ahead and real-time operations based on the specifications of WFFEs. Analyzing the output results, the main aims of the work, in terms of applying DRPs and make-up of WFFEs to the scheduling of A/C system and TESS, will be evaluated. The dispatched cooling and base loads show the superiority of the proposed method, which has a smoother curve compared to the original curve. Further, the WFFEs application has proved and demonstrated a way better function than the other uncertainty management techniques by committing and compensating the forecast errors of cooling loads.

ACS Style

Ali Dargahi; Khezr Sanjani; Morteza Nazari-Heris; Behnam Mohammadi-Ivatloo; Sajjad Tohidi; Mousa Marzband. Scheduling of Air Conditioning and Thermal Energy Storage Systems Considering Demand Response Programs. Sustainability 2020, 12, 7311 .

AMA Style

Ali Dargahi, Khezr Sanjani, Morteza Nazari-Heris, Behnam Mohammadi-Ivatloo, Sajjad Tohidi, Mousa Marzband. Scheduling of Air Conditioning and Thermal Energy Storage Systems Considering Demand Response Programs. Sustainability. 2020; 12 (18):7311.

Chicago/Turabian Style

Ali Dargahi; Khezr Sanjani; Morteza Nazari-Heris; Behnam Mohammadi-Ivatloo; Sajjad Tohidi; Mousa Marzband. 2020. "Scheduling of Air Conditioning and Thermal Energy Storage Systems Considering Demand Response Programs." Sustainability 12, no. 18: 7311.

Journal article
Published: 05 August 2020 in Energy
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Combined heat and power (CHP) technology can simultaneously satisfy heat and power loads. The objective of optimal production scheduling of CHP plants is finding optimal schedule of heat and power plants according to the constraints of network and component. In this research, the solution of CHP economic dispatch (CHPED) in large scale is investigated considering different scenarios. Firstly, the CHPED is tested on a 48-unit system to obtain minimum total operation cost, which includes the operation cost of thermal plants, CHP units and boilers, and the obtained optimal solutions are compared with recent publications. Then, a novel framework for a large-scale multi-zone CHPED problem is introduced, where each zone is responsible of providing the associated heat load. Finally, the multi-objective CHP dispatch problem is studied for handling two competing objectives consisting of operation cost and emissions of pollutant gases. The emission of pollutant gases includes the greenhouse gases emitted by thermal plants, CHP units and boilers. The model is tested on a three-zone 48-unit system for verifying the performance and effectiveness of the model. An annual cost saving of $1,939,534.08 can be attained by using the applied method for the 48-unit CHP system in comparison with the reported results in recent studies.

ACS Style

Morteza Nazari-Heris; Behnam Mohammadi-Ivatloo; Kazem Zare; Pierluigi Siano. Optimal generation scheduling of large-scale multi-zone combined heat and power systems. Energy 2020, 210, 118497 .

AMA Style

Morteza Nazari-Heris, Behnam Mohammadi-Ivatloo, Kazem Zare, Pierluigi Siano. Optimal generation scheduling of large-scale multi-zone combined heat and power systems. Energy. 2020; 210 ():118497.

Chicago/Turabian Style

Morteza Nazari-Heris; Behnam Mohammadi-Ivatloo; Kazem Zare; Pierluigi Siano. 2020. "Optimal generation scheduling of large-scale multi-zone combined heat and power systems." Energy 210, no. : 118497.

Review
Published: 18 July 2020 in Journal of Cleaner Production
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Recently, interdependency between electricity, gas, and water infrastructures are increasing due to convincing reasons and critical dependence of societies to such infrastructures. In this paper, the interconnection of the natural gas, water and power generation systems is firstly described. Then, mathematical problem formulation of economic environmental dispatch as well as deterministic/probabilistic optimization of gas/water/power nexus models are presented with emphasis on their advantages/disadvantages and achievements. Moreover, different types of seawater desalination technologies and hydro/hydrothermal/pumped hydro storages are categorized and compared in short-term scheduling and planning studies. The expected outcomes and influence of the research will be attaining a comprehensive analysis of interactions among energy sources in multi-carrier energy systems as well as enhancement of performance of the integrated power, gas and water systems in terms of operation, economy and emission of pollutant gases including significant projects implemented around the world and case studies. The potential to increase efficiency, flexibility, and performance by considering multiple energy carriers are investigated in this study to highlight the remarkable opportunities that can be attained by investing in multi-energy generation assets. The current literature is categorized into three classifications including a) integrated electricity and gas sources, b) integrated electricity and water sources, and c) integrated electricity, gas and water infrastructures. Each of the mentioned multi-carrier energy systems is introduced by concentrating on the main contributions of the literature.

ACS Style

Morteza Nazari-Heris; Farkhondeh Jabari; Behnam Mohammadi-Ivatloo; Somayeh Asadi; Mahmoud Habibnezhad. An updated review on multi-carrier energy systems with electricity, gas, and water energy sources. Journal of Cleaner Production 2020, 275, 123136 .

AMA Style

Morteza Nazari-Heris, Farkhondeh Jabari, Behnam Mohammadi-Ivatloo, Somayeh Asadi, Mahmoud Habibnezhad. An updated review on multi-carrier energy systems with electricity, gas, and water energy sources. Journal of Cleaner Production. 2020; 275 ():123136.

Chicago/Turabian Style

Morteza Nazari-Heris; Farkhondeh Jabari; Behnam Mohammadi-Ivatloo; Somayeh Asadi; Mahmoud Habibnezhad. 2020. "An updated review on multi-carrier energy systems with electricity, gas, and water energy sources." Journal of Cleaner Production 275, no. : 123136.

Research paper
Published: 16 July 2020 in Iranian Journal of Science and Technology, Transactions of Electrical Engineering
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Despite distributed generations (DGs) advantages, the presence of them can cause glitches in distribution networks. One of the typical glitches is a mismatched fuse and recloser in temporary short circuits, which is often remedied by fault current limiter (FCL). By calculating the expected benefits to distribution companies (DISCOs) in various value of loss load scenarios, once the uncertainty output of DGs is considered, this paper examines the effectiveness of FCLs in solving drawbacks and improving reliability. FCL can improve network reliability in one of two ways: a) the FCL can reduce the magnitude of fault current, thereby decreasing the failure rate of protective devices, b) the FCL can correct a mismatched fuse and recloser, resulting in a lower energy not supplied (ENS) rate. The present paper uses the biogeography-based optimization method to measure optimal FCL impedance in terms of maximizing the DISCO’s benefit after FCL installation. Using simulated performance on a test distribution system, FCL network penetration is founded to resolve the identified problem by improving the ENS rate.

ACS Style

S. Ghaemi; M. Nazari-Heris; M. Abapour. Reliability Impact Analysis of Fault Current Limiters of Distribution Network Under Protection Miscoordination Due to Distributed Generations. Iranian Journal of Science and Technology, Transactions of Electrical Engineering 2020, 45, 171 -182.

AMA Style

S. Ghaemi, M. Nazari-Heris, M. Abapour. Reliability Impact Analysis of Fault Current Limiters of Distribution Network Under Protection Miscoordination Due to Distributed Generations. Iranian Journal of Science and Technology, Transactions of Electrical Engineering. 2020; 45 (1):171-182.

Chicago/Turabian Style

S. Ghaemi; M. Nazari-Heris; M. Abapour. 2020. "Reliability Impact Analysis of Fault Current Limiters of Distribution Network Under Protection Miscoordination Due to Distributed Generations." Iranian Journal of Science and Technology, Transactions of Electrical Engineering 45, no. 1: 171-182.

Journal article
Published: 03 July 2020 in Energy
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Distributed generation gains a noticeable attention from governments and policy-makers. The appropriate site(s) and proper size(s) recognition for these generators can improve the network performance. In this study, a new hybrid genetic particle swarm optimization method is proposed to determine the optimal allocation of distributed generators aiming to improve the total active and reactive losses and voltage regulations of the network. The objective function has been considered for the sake of clarity; however, other objective functions may be included at the same time. The method applies the genetic algorithm and the particle swarm optimization algorithms in combination on the same population to acquire both algorithms advantages. The study is performed on IEEE 33 and 69-bus networks. A specific method is proposed and employed to calculate the weight factors linked with each objective. Multi objectives of the optimization are scalarized using the calculated weight factors to avoid human decision-making interference in the optimization procedure. The proposed hybrid genetic particle swarm optimization method has better performance in comparison to the reported values of other literatures. In addition, the employed method shows improvements in the number of iterations and the standard deviation in all study cases.

ACS Style

Mahmoud Pesaran H.A.; Morteza Nazari-Heris; Behnam Mohammadi-Ivatloo; Heresh Seyedi. A hybrid genetic particle swarm optimization for distributed generation allocation in power distribution networks. Energy 2020, 209, 118218 .

AMA Style

Mahmoud Pesaran H.A., Morteza Nazari-Heris, Behnam Mohammadi-Ivatloo, Heresh Seyedi. A hybrid genetic particle swarm optimization for distributed generation allocation in power distribution networks. Energy. 2020; 209 ():118218.

Chicago/Turabian Style

Mahmoud Pesaran H.A.; Morteza Nazari-Heris; Behnam Mohammadi-Ivatloo; Heresh Seyedi. 2020. "A hybrid genetic particle swarm optimization for distributed generation allocation in power distribution networks." Energy 209, no. : 118218.

Journal article
Published: 24 June 2020 in Sustainability
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The coordination of energy carriers in energy systems has significant benefits in enhancing the flexibility, efficiency, and sustainability characteristics of energy networks. These benefits are of great importance for multi-carrier energy networks due to the complexity of obtaining optimal dispatch, considering the non-convex nature of their energy conversion. The current study proposes a robust operation model for the coordination of multi-carrier systems, including electricity, gas, heat, and water carriers concerning thermal energy storage technology. Thermal energy storage is for storing extra heat generated by combined heat and power (CHP) plants and boilers in time intervals with low heat demand on the system and discharging it when required. Energy network operators should have the capability to manage uncertain energy loads to study the impact of load variation on the decision-making process in network operation. Accordingly, this study employs an information gap decision theory (IGDT) method to model the uncertainty of the power demand in optimal system operation. By applying the IGDT approach, the operator of the energy system can use the appropriate methodology to obtain a robust optimal operation. Such a modeling approach helps the operator to make suitable decisions about probable variations in power load. The introduced model is applied in a test system for evaluating the performance and effectiveness of the introduced scheme.

ACS Style

Morteza Nazari-Heris; Behnam Mohammadi-Ivatloo; Somayeh Asadi. Optimal Operation of Multi-Carrier Energy Networks Considering Uncertain Parameters and Thermal Energy Storage. Sustainability 2020, 12, 5158 .

AMA Style

Morteza Nazari-Heris, Behnam Mohammadi-Ivatloo, Somayeh Asadi. Optimal Operation of Multi-Carrier Energy Networks Considering Uncertain Parameters and Thermal Energy Storage. Sustainability. 2020; 12 (12):5158.

Chicago/Turabian Style

Morteza Nazari-Heris; Behnam Mohammadi-Ivatloo; Somayeh Asadi. 2020. "Optimal Operation of Multi-Carrier Energy Networks Considering Uncertain Parameters and Thermal Energy Storage." Sustainability 12, no. 12: 5158.

Journal article
Published: 08 June 2020 in IEEE Systems Journal
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This article proposes a new two-stage hybrid stochastic–information gap-decision theory (IGDT) based on the network-constrained unit commitment framework. The model is applied for the market clearing of joint energy and flexible ramping reserve in integrated heat- and power-based energy systems. The uncertainties of load demands and wind power generation are studied using the Monte Carlo simulation method and IGDT, respectively. The proposed model considers both risk-averse and risk-seeker strategies, which enables the independent system operator to provide flexible decisions in meeting system uncertainties in real-time dispatch. Moreover, the effect of feasible operating regions of the combined heat and power (CHP) plants on energy and flexible ramping reserve market and operation cost of the system is investigated. The proposed model is implemented on a test system to verify the effectiveness of the introduced two-stage hybrid framework. The analysis of the obtained results demonstrates that the variation of heat demand is effective on power and flexible ramping reserve supplied by CHP units.

ACS Style

Mohammad Amin Mirzaei; Morteza Nazari-Heris; Behnam Mohammadi-Ivatloo; Kazem Zare; Mousa Marzband; Miadreza Shafie-Khah; Amjad Anvari-Moghaddam; João P. S. Catalão. Network-Constrained Joint Energy and Flexible Ramping Reserve Market Clearing of Power- and Heat-Based Energy Systems: A Two-Stage Hybrid IGDT–Stochastic Framework. IEEE Systems Journal 2020, 15, 1547 -1556.

AMA Style

Mohammad Amin Mirzaei, Morteza Nazari-Heris, Behnam Mohammadi-Ivatloo, Kazem Zare, Mousa Marzband, Miadreza Shafie-Khah, Amjad Anvari-Moghaddam, João P. S. Catalão. Network-Constrained Joint Energy and Flexible Ramping Reserve Market Clearing of Power- and Heat-Based Energy Systems: A Two-Stage Hybrid IGDT–Stochastic Framework. IEEE Systems Journal. 2020; 15 (2):1547-1556.

Chicago/Turabian Style

Mohammad Amin Mirzaei; Morteza Nazari-Heris; Behnam Mohammadi-Ivatloo; Kazem Zare; Mousa Marzband; Miadreza Shafie-Khah; Amjad Anvari-Moghaddam; João P. S. Catalão. 2020. "Network-Constrained Joint Energy and Flexible Ramping Reserve Market Clearing of Power- and Heat-Based Energy Systems: A Two-Stage Hybrid IGDT–Stochastic Framework." IEEE Systems Journal 15, no. 2: 1547-1556.

Journal article
Published: 08 June 2020 in Journal of Energy Storage
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The investigation of interdependency among energy carriers in different energy networks is beneficial for network operators in minimizing the operation cost of the whole networks and supplying the energy demands continuously. This study aims at evaluating the effectiveness of considering interconnections among energy sources, which is known as multi-carrier energy systems, on the operation of the energy networks. The proposed scheme aims to analyze the gas, power, heating, and water energy sources and their interdependencies in operation of multi-carrier energy networks considering the gas and power networks constraints and interdependent constraints of all the energy carriers. Accordingly, the role of combined heat and power technology, gas-fired power plants, pumped-storage systems, gas storage, heat buffer tank, and wind turbines as well as the power and gas network constraints are studied in the current work. The operation of multi-carrier energy systems in the presence of the above-mentioned technologies are studied to meet daily power, gas, heating and water loads. The proposed scheme is implemented in a case study to evaluate the practicality and performance of the scheme, which is analyzed by providing two cases for the selected multi-carrier energy network.

ACS Style

Morteza Nazari-Heris; Behnam Mohammadi-Ivatloo; Somayeh Asadi. Optimal operation of multi-carrier energy networks with gas, power, heating, and water energy sources considering different energy storage technologies. Journal of Energy Storage 2020, 31, 101574 .

AMA Style

Morteza Nazari-Heris, Behnam Mohammadi-Ivatloo, Somayeh Asadi. Optimal operation of multi-carrier energy networks with gas, power, heating, and water energy sources considering different energy storage technologies. Journal of Energy Storage. 2020; 31 ():101574.

Chicago/Turabian Style

Morteza Nazari-Heris; Behnam Mohammadi-Ivatloo; Somayeh Asadi. 2020. "Optimal operation of multi-carrier energy networks with gas, power, heating, and water energy sources considering different energy storage technologies." Journal of Energy Storage 31, no. : 101574.

Journal article
Published: 11 May 2020 in Applied Thermal Engineering
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Various energy networks such as electricity, natural gas, and district heating can be connected by emerging technologies for efficient application of renewable energy sources. On the other hand, the pressure shortage in the natural gas network and increasing heat loss in the district heating network by growth of gas and heat load in winter might play a significant role in the participation of combined heat and power units in the energy markets and operation cost of the whole integrated energy system. Hence, this paper presents a multi-network constrained unit commitment problem in the presence of multi-carrier energy storage technologies aiming to minimize the operation cost of an integrated electricity, gas and district heating system while satisfying the constraints of all three networks. In addition, an information gap decision theory is developed for studying the uncertainty of energy sources under risk-seeker and risk-averse strategies with no need for probability distribution function. Moreover, the role of multi-carrier energy storage technologies in integrated networks is investigated, which indicates decrement of total operation cost and reduction of the effect of wind power uncertainty on total operation cost in presence of the storage technologies.

ACS Style

Mohammad Amin Mirzaei; Morteza Nazari-Heris; Kazem Zare; Behnam Mohammadi-Ivatloo; Mousa Marzband; Somayeh Asadi; Amjad Anvari-Moghaddam. Evaluating the impact of multi-carrier energy storage systems in optimal operation of integrated electricity, gas and district heating networks. Applied Thermal Engineering 2020, 176, 115413 .

AMA Style

Mohammad Amin Mirzaei, Morteza Nazari-Heris, Kazem Zare, Behnam Mohammadi-Ivatloo, Mousa Marzband, Somayeh Asadi, Amjad Anvari-Moghaddam. Evaluating the impact of multi-carrier energy storage systems in optimal operation of integrated electricity, gas and district heating networks. Applied Thermal Engineering. 2020; 176 ():115413.

Chicago/Turabian Style

Mohammad Amin Mirzaei; Morteza Nazari-Heris; Kazem Zare; Behnam Mohammadi-Ivatloo; Mousa Marzband; Somayeh Asadi; Amjad Anvari-Moghaddam. 2020. "Evaluating the impact of multi-carrier energy storage systems in optimal operation of integrated electricity, gas and district heating networks." Applied Thermal Engineering 176, no. : 115413.

Review
Published: 29 March 2020 in Food-Energy-Water Nexus Resilience and Sustainable Development
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Recently, net-zero buildings (NZBs) have specially attracted the attention of researchers due to their high performance in saving energy and reducing environmental impacts. A zero energy building (ZEB) and zero water building (ZWB) are nearly neutral buildings with very high energy and water performance that can greatly reduce the energy and water usage and consequently mitigate carbon emissions. Such system is achievable through balancing energy needs supplied by solar or other renewable energy sources. However, so far, no precise method for designing, operating, and controlling this type of building has been provided to achieve net ZEB and net ZWB goal. NZB is significantly effective in reducing greenhouse gas (GHG) emissions, total energy and water consumption, and utilization cost for building owners. The main purpose of this chapter is to examine various existing net ZEBs and net NZWBs frameworks, assess the progress and implementations of the NZEB and NZWB, review development policies for design and operation worldwide, interrelationship among net ZEB and net ZWB, as well as study areas that have potential for developing net ZEBs and net ZWBs.

ACS Style

Somayeh Asadi; Morteza Nazari-Heris; Sajad Rezaei Nasab; Hossein Torabi; Melika Sharifironizi. An Updated Review on Net-Zero Energy and Water Buildings: Design and Operation. Food-Energy-Water Nexus Resilience and Sustainable Development 2020, 267 -290.

AMA Style

Somayeh Asadi, Morteza Nazari-Heris, Sajad Rezaei Nasab, Hossein Torabi, Melika Sharifironizi. An Updated Review on Net-Zero Energy and Water Buildings: Design and Operation. Food-Energy-Water Nexus Resilience and Sustainable Development. 2020; ():267-290.

Chicago/Turabian Style

Somayeh Asadi; Morteza Nazari-Heris; Sajad Rezaei Nasab; Hossein Torabi; Melika Sharifironizi. 2020. "An Updated Review on Net-Zero Energy and Water Buildings: Design and Operation." Food-Energy-Water Nexus Resilience and Sustainable Development , no. : 267-290.

Journal article
Published: 20 March 2020 in IEEE Systems Journal
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In a power system with high penetration of renewable power sources, gas-fired units can be considered as a back-up option to improve the balance between generation and consumption in short-term scheduling. Therefore, closer coordination between power and natural gas systems is anticipated. This article presents a novel hybrid information gap decision theory (IGDT)-stochastic cooptimization problem for integrating electricity and natural gas networks to minimize total operation cost with the penetration of wind energy. The proposed model considers not only the uncertainties regarding electrical load demand and wind power output, but also the uncertainties of gas load demands for the residential consumers. The uncertainties of electric load and wind power are handled through a scenario-based approach, and residential gas load uncertainty is handled via IGDT approach with no need for the probability density function. The introduced hybrid model enables the system operator to consider the advantages of both approaches simultaneously. The impact of gas load uncertainty associated with the residential consumers is more significant on the power dispatch of gas-fired plants and power system operation cost since residential gas load demands are prior than gas load demands of gas-fired units. The proposed framework is a bilevel problem that can be reduced to a one-level problem. Also, it can be solved by the implementation of a simple concept without the need for Karush–Kuhn–Tucker conditions. Moreover, emerging flexible energy sources such as the power to gas technology and demand response program are considered in the proposed model for increasing the wind power dispatch, decreasing the total operation cost of the integrated network as well as reducing the effect of system uncertainties on the total operating cost. Numerical results indicate the applicability and effectiveness of the proposed model under different working conditions.

ACS Style

Mohammad Amin Mirzaei; Morteza Nazari-Heris; Behnam Mohammadi-Ivatloo; Kazem Zare; Mousa Marzband; Amjad Anvari-Moghaddam. A Novel Hybrid Framework for Co-Optimization of Power and Natural Gas Networks Integrated With Emerging Technologies. IEEE Systems Journal 2020, 14, 3598 -3608.

AMA Style

Mohammad Amin Mirzaei, Morteza Nazari-Heris, Behnam Mohammadi-Ivatloo, Kazem Zare, Mousa Marzband, Amjad Anvari-Moghaddam. A Novel Hybrid Framework for Co-Optimization of Power and Natural Gas Networks Integrated With Emerging Technologies. IEEE Systems Journal. 2020; 14 (3):3598-3608.

Chicago/Turabian Style

Mohammad Amin Mirzaei; Morteza Nazari-Heris; Behnam Mohammadi-Ivatloo; Kazem Zare; Mousa Marzband; Amjad Anvari-Moghaddam. 2020. "A Novel Hybrid Framework for Co-Optimization of Power and Natural Gas Networks Integrated With Emerging Technologies." IEEE Systems Journal 14, no. 3: 3598-3608.