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Prof. Amjad Anvari-Moghaddam
Aalborg University

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0 Demand Response
0 Energy Management
0 Energy Markets
0 Optimization
0 Smart Grid

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Optimization
Energy Storage and Application
microgrid
Demand Response
Energy Management
Smart Grid
Power and Energy Systems
Energy Markets
Energy and technology

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Journal article
Published: 05 August 2021 in Energies
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The heating of the buildings, together with domestic hot water generation, is responsible for half of the total generated heating energy, which consumes half of the final energy demand. Meanwhile, district heating systems are a powerful option to meet this demand, with their significant potential and the experience accumulated over many years. The work described here deals with the conventional and advanced exergy performance assessments of the district heating system, using four different waste heat sources by the exhaust gas potentials of the selected plants (municipal solid waste cogeneration, thermal power, wastewater treatment, and cement production), with the real-time data group based on numerical investigations. The simulated results based on conventional exergy analysis revealed that the priority should be given to heat exchanger (HE)-I, with exergy efficiency values from 0.39 to 0.58, followed by HE-II and the pump with those from 0.48 to 0.78 and from 0.81 to 0.82, respectively. On the other hand, the simulated results based on advanced exergy analysis indicated that the exergy destruction was mostly avoidable for the pump (78.32–78.56%) and mostly unavoidable for the heat exchangers (66.61–97.13%). Meanwhile, the exergy destruction was determined to be mainly originated from the component itself (endogenous), for the pump (97.50–99.45%) and heat exchangers (69.80–91.97%). When the real-time implementation was considered, the functional exergy efficiency of the entire system was obtained to be linearly and inversely proportional to the pipeline length and the average ambient temperature, respectively.

ACS Style

Huseyin Ozcan; Arif Hepbasli; Aysegul Abusoglu; Amjad Anvari-Moghaddam. Advanced Exergy Analysis of Waste-Based District Heating Options through Case Studies. Energies 2021, 14, 4766 .

AMA Style

Huseyin Ozcan, Arif Hepbasli, Aysegul Abusoglu, Amjad Anvari-Moghaddam. Advanced Exergy Analysis of Waste-Based District Heating Options through Case Studies. Energies. 2021; 14 (16):4766.

Chicago/Turabian Style

Huseyin Ozcan; Arif Hepbasli; Aysegul Abusoglu; Amjad Anvari-Moghaddam. 2021. "Advanced Exergy Analysis of Waste-Based District Heating Options through Case Studies." Energies 14, no. 16: 4766.

Journal article
Published: 04 August 2021 in Journal of Energy Storage
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Increasing wind and solar generation in power grids leads to more renewable power curtailments in some periods of time due to the fast and unpredictable variations of their outputs. The utilization of these sources for energy storage can unlock huge potential benefits. Therefore, aiming at minimizing the curtailments of renewable power from the viewpoint of an independent system operator (ISO), in this paper, we propose deep learning-driven optimal sizing and operation of alkaline water electrolyzers (AWE) and battery energy storage systems (BESS). For this purpose, a set of actual renewable power curtailment data of California ISO was fully investigated, and deep learning forecast methods were employed to determine the prediction error and its probability distribution function (PDF). Using the fitted PDF, a set of scenarios was generated and reduced to some accurate and probable ones. Consequently, a two-stage scenario-based stochastic model was proposed to determine the optimal planning of this system, and a penalty variable was defined in the second stage to maximize the utilization of curtailed renewable energy sources (RESs). The learning results showed that the prediction errors were minimized using the gated recurrent unit (GRU) method. It was also shown that 97% of curtailments were utilized using AWEs with annual costs of $233.55 million, which had 63.5% fewer costs than using BESSs. Furthermore, using AWEs reduced operational expenses by 89.1% compared with using BESSs, owing to their operational benefits.

ACS Style

Mohammad H. Shams; Haider Niaz; JongGeol Na; Amjad Anvari-Moghaddam; J. Jay Liu. Machine learning-based utilization of renewable power curtailments under uncertainty by planning of hydrogen systems and battery storages. Journal of Energy Storage 2021, 41, 103010 .

AMA Style

Mohammad H. Shams, Haider Niaz, JongGeol Na, Amjad Anvari-Moghaddam, J. Jay Liu. Machine learning-based utilization of renewable power curtailments under uncertainty by planning of hydrogen systems and battery storages. Journal of Energy Storage. 2021; 41 ():103010.

Chicago/Turabian Style

Mohammad H. Shams; Haider Niaz; JongGeol Na; Amjad Anvari-Moghaddam; J. Jay Liu. 2021. "Machine learning-based utilization of renewable power curtailments under uncertainty by planning of hydrogen systems and battery storages." Journal of Energy Storage 41, no. : 103010.

Journal article
Published: 04 August 2021 in Journal of Cleaner Production
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By growing interest in hydrogen vehicles (HVs), hydrogen fueling stations (HFSs) that convert electric power to hydrogen to supply HVs have emerged as a new asset for power grids. To safely and consistently supply HFSs with power, the use of microgrids (MGs), including various flexible generation units, is considered to be a reliable choice. This paper proposes a competence MG scheduling model. In this model, an optimal coordination of HFSs with demand response (DR), energy storage systems (ESS), and appropriate multi-market mechanisms is addressed. Also, a reformulated version of a risk-constrained stochastic scheduling (RSS) model is used to minimize the MG operation cost. The uncertainties associated with the real-time market price, renewables, electrical loads, and HVs are handled by considering conservativeness parameters. In this model, linearized AC optimal power flow (ACOPF) equations are included in the mixed-integer linear programming (MILP) problem to satisfy the security of MG operation. The proposed model is examined on a 21-bus MG while considering various case studies. The results show that the operation of HFSs provides a profit of 254.5$/day by selling hydrogen for MG operator. In addition, it is found that developing the HFS technology can reduce the total daily operation costs of MG by up to 9.6%. It is also shown that participation of MG in both day-ahead and real-time markets leads to a reduction of 11.7% in the operating costs. Moreover, we show that employing DR programs leads to operation cost reduction and load flattening during high-demand hours. The security constraints keep the voltage between 0.97 p.u. and 1 p.u and the loss of lines within a reasonable range. Finally, a comprehensive comparison between our perceptive RSS with traditional stochastic scheduling and conservative RSS is carried out to show the effectiveness of the proposed method.

ACS Style

Mohammad MansourLakouraj; Haider Niaz; J. Jay Liu; Pierluigi Siano; Amjad Anvari-Moghaddam. Optimal risk-constrained stochastic scheduling of microgrids with hydrogen vehicles in real-time and day-ahead markets. Journal of Cleaner Production 2021, 318, 128452 .

AMA Style

Mohammad MansourLakouraj, Haider Niaz, J. Jay Liu, Pierluigi Siano, Amjad Anvari-Moghaddam. Optimal risk-constrained stochastic scheduling of microgrids with hydrogen vehicles in real-time and day-ahead markets. Journal of Cleaner Production. 2021; 318 ():128452.

Chicago/Turabian Style

Mohammad MansourLakouraj; Haider Niaz; J. Jay Liu; Pierluigi Siano; Amjad Anvari-Moghaddam. 2021. "Optimal risk-constrained stochastic scheduling of microgrids with hydrogen vehicles in real-time and day-ahead markets." Journal of Cleaner Production 318, no. : 128452.

Journal article
Published: 20 July 2021 in IEEE Access
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In this paper, a novel pulse tripling circuit (PTC) is suggested, to upgrade a polygon autotransformer 12-pulse rectifier (12-PR) to a 36-pulse rectifier (36-PR) with a low power rating. The kVA rating of the proposed PTC is lower compared to the conventional one (about 1.57% of load power). Simulation and experimental test results show that the total harmonic distortion (THD) of the input current of the suggested 36-PR is less than 3%, which meets the IEEE 519 requirements. Also, it is shown that in comparison with other multi-pulse rectifiers (MPR), it is cost-effective, its power factor is near unity and its rating is about 24% of the load rating. Therefore, the proposed 36-PR can be considered as a practical solution for industrial applications.

ACS Style

Rohollah Abdollahi; Gevork B. Gharehpetian; Amjad Anvari-Moghaddam; Frede Blaabjerg. Pulse Tripling Circuit and Twelve Pulse Rectifier Combination for Sinusoidal Input Current. IEEE Access 2021, 9, 103588 -103599.

AMA Style

Rohollah Abdollahi, Gevork B. Gharehpetian, Amjad Anvari-Moghaddam, Frede Blaabjerg. Pulse Tripling Circuit and Twelve Pulse Rectifier Combination for Sinusoidal Input Current. IEEE Access. 2021; 9 ():103588-103599.

Chicago/Turabian Style

Rohollah Abdollahi; Gevork B. Gharehpetian; Amjad Anvari-Moghaddam; Frede Blaabjerg. 2021. "Pulse Tripling Circuit and Twelve Pulse Rectifier Combination for Sinusoidal Input Current." IEEE Access 9, no. : 103588-103599.

Original research paper
Published: 06 July 2021 in IET Power Electronics
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To increase the power rating and reduce the cost and complexity of a multi-pulse rectifier (MPR), it is well known that the pulse number must be increased. In some practical cases, a 12-pulse rectifier (12PR) is suggested as a good solution considering its relatively simple structure and low weight. However, 12-pulse rectifiers cannot technically meet the standards of harmonic distortion requirements for some industrial applications, and therefore they must be used along with output filters. Two cost-effective 24-pulse rectifiers (24PRs) are suggested in the article, which consist of a polygon autotransformer 12PR and two pulse doubling circuits (PDCs) at dc link. The first PDC (PDC1) is based on an inter-phase transformer (IPT) with a step-up secondary winding, and the second one (PDC2) is based on an IPT with a step-down secondary winding. To show the advantages of the proposed combinations compared with other solutions, simulation results are used, and also a prototype is implemented to evaluate and verify the simulation results. The simulation and experimental test results show that the total harmonic distortion (%THD) of the input current for the 12PR with PDC1 is less than 3.67%, and the 12PR with PDC2 is less than 1.45%, which meets the IEEE 519 and DO-160G requirements. Also, it is shown that in comparison with other solutions, the proposed two configurations are cost-effective, power factor is near unity, rating is almost 29% of the load rating, and the efficiency is almost 97.5%, which makes them a practical solution for more electric aircraft.

ACS Style

R. Abdollahi; G. B. Gharehpetian; A. Anvari‐Moghaddam; F. Blaabjerg. An improved 24‐pulse rectifier for harmonic mitigation in more electric aircraft. IET Power Electronics 2021, 14, 2007 -2020.

AMA Style

R. Abdollahi, G. B. Gharehpetian, A. Anvari‐Moghaddam, F. Blaabjerg. An improved 24‐pulse rectifier for harmonic mitigation in more electric aircraft. IET Power Electronics. 2021; 14 (11):2007-2020.

Chicago/Turabian Style

R. Abdollahi; G. B. Gharehpetian; A. Anvari‐Moghaddam; F. Blaabjerg. 2021. "An improved 24‐pulse rectifier for harmonic mitigation in more electric aircraft." IET Power Electronics 14, no. 11: 2007-2020.

Journal article
Published: 05 July 2021 in International Journal of Energy Research
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ACS Style

Mohammad Amin Mirzaei; Mohammad Hemmati; Kazem Zare; Behnam Mohammadi‐Ivatloo; Mehdi Abapour; Mousa Marzband; Reza Razzaghi; Amjad Anvari‐Moghaddam. Network‐constrained rail transportation and power system scheduling with mobile battery energy storage under a multi‐objective two‐stage stochastic programming. International Journal of Energy Research 2021, 1 .

AMA Style

Mohammad Amin Mirzaei, Mohammad Hemmati, Kazem Zare, Behnam Mohammadi‐Ivatloo, Mehdi Abapour, Mousa Marzband, Reza Razzaghi, Amjad Anvari‐Moghaddam. Network‐constrained rail transportation and power system scheduling with mobile battery energy storage under a multi‐objective two‐stage stochastic programming. International Journal of Energy Research. 2021; ():1.

Chicago/Turabian Style

Mohammad Amin Mirzaei; Mohammad Hemmati; Kazem Zare; Behnam Mohammadi‐Ivatloo; Mehdi Abapour; Mousa Marzband; Reza Razzaghi; Amjad Anvari‐Moghaddam. 2021. "Network‐constrained rail transportation and power system scheduling with mobile battery energy storage under a multi‐objective two‐stage stochastic programming." International Journal of Energy Research , no. : 1.

Journal article
Published: 29 June 2021 in Energy
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The main objective of this study is to investigate variations and peak values of actual heat demand profiles in a centralized district heating (DH) network. Operational heat data is utilized to discover that almost no weather correlation exists during warm months when supply temperatures exceed 60 °C; thermal inertia of buildings affects their behavior differently in terms of needed space heating; and thermal energy storage (TES) units can be important assets for improving the performance of DH networks. To draw such concluding remarks, two approaches namely scaling design heat demand and the weighted moving average (WMA) are used. Analysis of heat demand profiles reveals that the fourth generation DH (4GDH) shows promise in the Russian context. It is also observed that the discrepancy between the projected and the actual values is 7–14% higher than average, and the variation of temperature in the supply line is 1.5 times that in the return line. Through designing TESs or DH plants using more precise heat demand data, DH operator is able to reduce the energy price by lowering infrastructure costs. By implementing WMA strategies and incorporating advanced control techniques, it is also possible to save 40%–50% energy per year, which results in lower energy fees for the end-users.

ACS Style

Stanislav Chicherin; Amjad Anvari-Moghaddam. Adjusting Heat Demands Using the Operational Data of District Heating Systems. Energy 2021, 235, 121368 .

AMA Style

Stanislav Chicherin, Amjad Anvari-Moghaddam. Adjusting Heat Demands Using the Operational Data of District Heating Systems. Energy. 2021; 235 ():121368.

Chicago/Turabian Style

Stanislav Chicherin; Amjad Anvari-Moghaddam. 2021. "Adjusting Heat Demands Using the Operational Data of District Heating Systems." Energy 235, no. : 121368.

Journal article
Published: 04 June 2021 in Sustainable Energy Technologies and Assessments
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A solar-assisted biomass-based tri-generation system is suggested to provide domestic energy demands and studied from the perspectives of thermodynamics and sustainability. In the proposed combined system, gas and steam turbines are considered as the main power generation systems, while the chiller and an auxiliary heat exchanger exploit the thermal energy content of the effluent. A pressurized water circuit is also considered to harvest the waste heat from the employed steam cycle condenser and concentrated photovoltaic to feed the desired space heating. The main components of the integrated system are assessed exergetically to show the main exergy destructive units. The influence on the performance of the system of some decision parameters and summer/winter conditions as well is investigated. Results showed that the designed system is capable to feed 1241 kW space heating, 101.5 kW domestic hot water and 55.35 kW chilled water as space cooling, besides delivering 1MWe power. It is revealed that the pressure ratio of the air compressor leads to the system performance optimizing while the performance of the system has a linear relation with two variables of the gas turbine inlet temperature and cold end temperature difference within the air heater.

ACS Style

Hossein Nami; Amjad Anvari-Moghaddam; Arash Nemati. Modeling and analysis of a solar boosted biomass-driven combined cooling, heating and power plant for domestic applications. Sustainable Energy Technologies and Assessments 2021, 47, 101326 .

AMA Style

Hossein Nami, Amjad Anvari-Moghaddam, Arash Nemati. Modeling and analysis of a solar boosted biomass-driven combined cooling, heating and power plant for domestic applications. Sustainable Energy Technologies and Assessments. 2021; 47 ():101326.

Chicago/Turabian Style

Hossein Nami; Amjad Anvari-Moghaddam; Arash Nemati. 2021. "Modeling and analysis of a solar boosted biomass-driven combined cooling, heating and power plant for domestic applications." Sustainable Energy Technologies and Assessments 47, no. : 101326.

Review
Published: 02 June 2021 in Sustainable Cities and Society
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In recent years, energy saving has attracted the attention of researchers due to environment, energy, and reliability issues. Energy saving due to these advantages is one of the major steps toward sustainable cities and society. In this regard, the low-voltage section of the distribution system, including buildings and public lighting systems (PLSs), has great energy-saving potential. Accordingly, the present work reviews the potential of different energy-saving options and their environmental impact on buildings of different sectors and PLSs. In addition to direct energy-saving options such as using renewable energy sources and energy-efficient luminaries, available indirect options such as transactive energy, using energy storage systems and demand response programs are reviewed. For both the building and PLS sectors, available control strategies and technologies and related energy and emission saving potential are discussed. The detailed highlights of the previous works associated with the location of each research or experimental study are given in this review study. Finally, the key findings regarding the gap in the literature of the energy saving topic are discussed. This study is influential for policy-makers to take effective actions for energy saving through existing approaches and technologies, and is beneficial for researchers of the energy saving topic.

ACS Style

Omid Sadeghian; Arash Moradzadeh; Behnam Mohammadi-Ivatloo; Mehdi Abapour; Amjad Anvari-Moghaddam; Jeng Shiun Lim; Fausto Pedro Garcia Marquez. A comprehensive review on energy saving options and saving potential in low voltage electricity distribution networks: Building and public lighting. Sustainable Cities and Society 2021, 72, 103064 .

AMA Style

Omid Sadeghian, Arash Moradzadeh, Behnam Mohammadi-Ivatloo, Mehdi Abapour, Amjad Anvari-Moghaddam, Jeng Shiun Lim, Fausto Pedro Garcia Marquez. A comprehensive review on energy saving options and saving potential in low voltage electricity distribution networks: Building and public lighting. Sustainable Cities and Society. 2021; 72 ():103064.

Chicago/Turabian Style

Omid Sadeghian; Arash Moradzadeh; Behnam Mohammadi-Ivatloo; Mehdi Abapour; Amjad Anvari-Moghaddam; Jeng Shiun Lim; Fausto Pedro Garcia Marquez. 2021. "A comprehensive review on energy saving options and saving potential in low voltage electricity distribution networks: Building and public lighting." Sustainable Cities and Society 72, no. : 103064.

Journal article
Published: 27 May 2021 in Energy
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In this paper, a hybrid power generation company consisting of a concentrated solar power unit, wind turbines, a battery system, and a demand response provider is established to take part in electricity markets. The operating strategy of the hybrid power generation company in day-ahead and adjustment (intraday) markets is determined based on their coordinated operation. To tackle the intrinsic uncertainties, for the first time, a mixed stochastic-interval model is proposed which addresses the uncertainty in demand response and solar energy via interval optimization. The examined problem is formulated as a multi-objective optimization problem in which the risk of both stochastic and interval parameters can be involved. On this basis, the proposed operating strategy covers three objective functions, namely, expected radius and midpoint of the hybrid power generation company's profit together with the conditional value-at-risk. Accordingly, the normal boundary intersection and lexicographic optimization techniques are utilized to derive feasible solutions. Lastly, numerical results are presented and the performance of the proposed framework is investigated. The results indicate that the suggested model can be efficiently used to handle the decision-maker's preference over interval and stochastic parameters, and the risk criterion associated with interval parameters becomes larger as the forecasting errors increase.

ACS Style

Hooman Khaloie; Amjad Anvari-Moghaddam; Javier Contreras; Pierluigi Siano. Risk-involved optimal operating strategy of a hybrid power generation company: A mixed interval-CVaR model. Energy 2021, 232, 120975 .

AMA Style

Hooman Khaloie, Amjad Anvari-Moghaddam, Javier Contreras, Pierluigi Siano. Risk-involved optimal operating strategy of a hybrid power generation company: A mixed interval-CVaR model. Energy. 2021; 232 ():120975.

Chicago/Turabian Style

Hooman Khaloie; Amjad Anvari-Moghaddam; Javier Contreras; Pierluigi Siano. 2021. "Risk-involved optimal operating strategy of a hybrid power generation company: A mixed interval-CVaR model." Energy 232, no. : 120975.

Journal article
Published: 13 May 2021 in Sustainable Energy Technologies and Assessments
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This paper proposes an approach for optimal planning of the power to gas energy storage facilities faced by a strategic investor in an electricity market while considering the network constraints. The proposed approach relies on a bi-level programming model whose upper-level problem determines both investment and bidding decisions to maximize the expected profit of the investor and the lower-level problem corresponds to the electricity market clearing. The bi-level model is transferred into a mathematical program with equilibrium constraints through replacing the lower-level problem by its optimality conditions. The resulting nonlinear mathematical program with equilibrium constraints is linearized by using the duality theory and Karush-Kuhn-Tucker optimality conditions. The mixed-integer linear programming problem is solved using GAMS with CPLEX solver. Results pertaining to an illustrative example and a case study are reported and discussed, which validate the proposed approach.

ACS Style

Farnaz Sohrabi; M.J. Vahid-Pakdel; Behnam Mohammadi-Ivatloo; Amjad Anvari-Moghaddam. Strategic planning of power to gas energy storage facilities in electricity market. Sustainable Energy Technologies and Assessments 2021, 46, 101238 .

AMA Style

Farnaz Sohrabi, M.J. Vahid-Pakdel, Behnam Mohammadi-Ivatloo, Amjad Anvari-Moghaddam. Strategic planning of power to gas energy storage facilities in electricity market. Sustainable Energy Technologies and Assessments. 2021; 46 ():101238.

Chicago/Turabian Style

Farnaz Sohrabi; M.J. Vahid-Pakdel; Behnam Mohammadi-Ivatloo; Amjad Anvari-Moghaddam. 2021. "Strategic planning of power to gas energy storage facilities in electricity market." Sustainable Energy Technologies and Assessments 46, no. : 101238.

Journal article
Published: 11 May 2021 in IEEE Transactions on Sustainable Energy
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Coordinated operation of several industrial energy hubs (IEHs) to realize local energy management concepts at strategic points like industrial parks has attracted the attention of power grid operators worldwide. Deriving an operational model for integrating a large set of IEHs to trade energy in various markets is a fundamental challenge that has not yet been addressed. In this context, this paper presents an optimal market participation strategy for a virtual energy hub (VEH) consisting of multiple IEHs and industrial consumers. The proposed strategy seeks to answer two questions: (1) how can a VEH operator (VEHO) minimize its operation cost when participating in different energy markets (2) how can ancillary services affect the economic performance of VEH To address these questions, a two-stage robust-stochastic optimization model is proposed with the aim of minimizing the total operation cost of VEH and compensating the operational risks associated with the existing uncertainties considering the operational limits of the power grid. To this aim, the advanced ancillary services, i.e., market-based demand response programs and transactive energy management mechanism are used in line with the optimization problem. Furthermore, the role of the multi-supply facilities is included in the developed strategy to improve VEH flexibility.

ACS Style

Morteza Zare Oskouei; Behnam Mohammadi-Ivatloo; Mehdi Abapour; Mahmood Shafiee; Amjad Anvari-Moghaddam. Strategic Operation of a Virtual Energy Hub with the Provision of Advanced Ancillary Services in Industrial Parks. IEEE Transactions on Sustainable Energy 2021, PP, 1 -1.

AMA Style

Morteza Zare Oskouei, Behnam Mohammadi-Ivatloo, Mehdi Abapour, Mahmood Shafiee, Amjad Anvari-Moghaddam. Strategic Operation of a Virtual Energy Hub with the Provision of Advanced Ancillary Services in Industrial Parks. IEEE Transactions on Sustainable Energy. 2021; PP (99):1-1.

Chicago/Turabian Style

Morteza Zare Oskouei; Behnam Mohammadi-Ivatloo; Mehdi Abapour; Mahmood Shafiee; Amjad Anvari-Moghaddam. 2021. "Strategic Operation of a Virtual Energy Hub with the Provision of Advanced Ancillary Services in Industrial Parks." IEEE Transactions on Sustainable Energy PP, no. 99: 1-1.

Original research paper
Published: 02 May 2021 in IET Renewable Power Generation
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Voltage regulation and power management are necessary to maintain balance of supply and demand in DC microgrids. In such systems, power sharing is normally done through parallel operation of distributed energy resources equipped with droop controllers. However, low power sharing accuracy and not allowing the microgrid to maximise the available power from the renewable sources are two main problems associated with conventional droop control methods. In addition, the 2D droop method is a parameter‐dependent method for extracting maximum available energy from renewable sources. In this paper, a novel power management strategy based on the optimal 3D droop coefficients is developed for a DC microgrid. Optimal state estimation is attained using a combination of extended Kalman filter and adaptive recursive least square method. Reference currents of renewable energy sources (wind and solar) and battery energy storage system are estimated using the proposed prediction based model. The proposed strategy not only increases the power sharing accuracy but also remains the bus voltage around a nominal value. The performance of the proposed method is evaluated for the considered DC microgrid in two different scenarios. Results show the high effectiveness and robustness of the proposed method. It has been concluded that precise estimation of the sources reference currents and 3D droop coefficients are critical for optimal power management and bus voltage regulation in DC microgrids.

ACS Style

Vahid Sabzpoosh Saravi; Hossein Sakhaei; Mohsen Kalantar; Amjad Anvari‐Moghaddam. A novel power management strategy based on combination of 3D droop control and EKF in DC microgrids. IET Renewable Power Generation 2021, 15, 2540 -2555.

AMA Style

Vahid Sabzpoosh Saravi, Hossein Sakhaei, Mohsen Kalantar, Amjad Anvari‐Moghaddam. A novel power management strategy based on combination of 3D droop control and EKF in DC microgrids. IET Renewable Power Generation. 2021; 15 (11):2540-2555.

Chicago/Turabian Style

Vahid Sabzpoosh Saravi; Hossein Sakhaei; Mohsen Kalantar; Amjad Anvari‐Moghaddam. 2021. "A novel power management strategy based on combination of 3D droop control and EKF in DC microgrids." IET Renewable Power Generation 15, no. 11: 2540-2555.

Original research paper
Published: 20 April 2021 in IET Renewable Power Generation
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This paper elaborates on optimal scheduling of coordinated power and natural gas (NG) networks in the presence of interconnected energy hubs considering reconfiguration as a flexibility source. With regard to the energy hub system consisting of several generation units, storage and conversion technologies, as well as natural gas‐fired units, the high interdependency between gas and electricity carriers should be captured. The hourly reconfiguration capability is developed for the first time in a multi‐energy system to enhance the optimal power dispatch and gas consumption pattern. The realistic interdependency of electrical and NG grids is investigated by employing the steady‐state Weymouth equation and AC‐power flow model for power and gas networks, respectively. Furthermore, to handle the risk associated with strong uncertainty of wind power, load, and real‐time power price, the conditional value at risk approach is employed. The proposed model is implemented on the integrated test system and simulation results are presented for different cases. The impact of the risk aversion level on operating cost and optimal scheduling of controllable units is examined. Numerical results demonstrate that reconfigurable capability reduces the operational cost up to 7.82%.

ACS Style

Mohammad Hemmati; Mehdi Abapour; Behnam Mohammadi‐Ivatloo; Amjad Anvari‐Moghaddam. Risk‐based optimal operation of coordinated natural gas and reconfigurable electrical networks with integrated energy hubs. IET Renewable Power Generation 2021, 1 .

AMA Style

Mohammad Hemmati, Mehdi Abapour, Behnam Mohammadi‐Ivatloo, Amjad Anvari‐Moghaddam. Risk‐based optimal operation of coordinated natural gas and reconfigurable electrical networks with integrated energy hubs. IET Renewable Power Generation. 2021; ():1.

Chicago/Turabian Style

Mohammad Hemmati; Mehdi Abapour; Behnam Mohammadi‐Ivatloo; Amjad Anvari‐Moghaddam. 2021. "Risk‐based optimal operation of coordinated natural gas and reconfigurable electrical networks with integrated energy hubs." IET Renewable Power Generation , no. : 1.

Journal article
Published: 04 April 2021 in Electric Power Systems Research
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Energy hubs (EH) are known as multi-carrier systems that integrate multiple energy resources to enable greater flexibility in the energy provision. In this study, a multi-objective decision-making framework is proposed to determine the optimal scheduling of EHs. The proposed model considers the total cost of the EH, emissions, power losses, and average reserve of EH, simultaneously. These objectives are prioritized based on the EH preference that can be different for each EH. In this strategy, the cost of the EH has the highest priority and is considered as the main objective. The emission, system losses, and system reserve simultaneously have been considered as secondary objectives. According to the prioritization made among objectives, a lexicography optimization is performed in which cost minimization is considered in the first step, and the secondary objectives are evaluated in the second step of optimization. The intermittency nature of the electrical and thermal loads, renewable generation, and market prices are applied to the model by stochastic techniques. The proposed multi-objective model has been tested on the non-real benchmark system (standard IEEE 5-bus test system). The simulation results show that the proposed model improves the reserve capacity, emission, and system losses.

ACS Style

Mahdieh Monemi Bidgoli; Hamid Karimi; Shahram Jadid; Amjad Anvari-Moghaddam. Stochastic electrical and thermal energy management of energy hubs integrated with demand response programs and renewable energy: A prioritized multi-objective framework. Electric Power Systems Research 2021, 196, 107183 .

AMA Style

Mahdieh Monemi Bidgoli, Hamid Karimi, Shahram Jadid, Amjad Anvari-Moghaddam. Stochastic electrical and thermal energy management of energy hubs integrated with demand response programs and renewable energy: A prioritized multi-objective framework. Electric Power Systems Research. 2021; 196 ():107183.

Chicago/Turabian Style

Mahdieh Monemi Bidgoli; Hamid Karimi; Shahram Jadid; Amjad Anvari-Moghaddam. 2021. "Stochastic electrical and thermal energy management of energy hubs integrated with demand response programs and renewable energy: A prioritized multi-objective framework." Electric Power Systems Research 196, no. : 107183.

Editorial
Published: 27 March 2021 in Inventions
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The way the world gets its energy is undergoing a rapid transition, driven by both the increased urgency of decarbonizing energy systems and the plummeting costs of renewable energy technologies

ACS Style

Amjad Anvari-Moghaddam; Vahid Vahidinasab; Behnam Mohammadi-Ivatloo; Reza Razzaghi; Fazel Mohammadi. Emerging Technologies for the Energy Systems of the Future. Inventions 2021, 6, 23 .

AMA Style

Amjad Anvari-Moghaddam, Vahid Vahidinasab, Behnam Mohammadi-Ivatloo, Reza Razzaghi, Fazel Mohammadi. Emerging Technologies for the Energy Systems of the Future. Inventions. 2021; 6 (2):23.

Chicago/Turabian Style

Amjad Anvari-Moghaddam; Vahid Vahidinasab; Behnam Mohammadi-Ivatloo; Reza Razzaghi; Fazel Mohammadi. 2021. "Emerging Technologies for the Energy Systems of the Future." Inventions 6, no. 2: 23.

Research article
Published: 25 March 2021 in International Journal of Energy Research
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Flexibilities offered by gas‐fired power plants have strongly increased their usage in power systems. Increasing the penetration rate of gas‐fired power plants has made it necessary to coordinate gas network expansion planning with electricity network expansion planning. In this paper, a decentralized model for expansion of gas and electricity networks is introduced that coordinates investment in these networks while taking into account their privacy. Alternating direction method of multipliers is used to decompose the centralized gas and electricity expansion problem into two separate expansion problems. The proposed method aims to minimize the investment and operation cost of interconnected gas and electricity networks during the planning period. The resultant problems are mixed‐integer nonlinear programs, which are then linearized and transformed into mixed‐integer linear programming models to facilitate the optimality conditions. Distributed optimization provides a cyber‐physical system in which gas and electricity networks are managed separately while a coordination link is provided through the cloud computing layer. However, coordinated operation through a cloud layer keeps the control‐loop subject to cyber‐attacks. In this paper, the standard form of the proposed decentralized model is modified to secure it against cyber‐attacks. Finally, the effectiveness and applicability of the proposed method are tested and verified over a real case study that has a high penetration level of gas consuming generation units. The proposed cyber secure model not only converges faster than a standard model (ie, computationally more efficient than conventional methods) but also keeps optimality of found solution in a secure fashion. The satisfactory performance of the proposed model is also demonstrated against centralized, leader‐follower, and independent expansion planning models.

ACS Style

Azam Ghezelbash; Vahid Khaligh; Amjad Anvari‐Moghaddam. A cyber‐secure model to decentralized co‐expansion planning of gas and electricity networks. International Journal of Energy Research 2021, 45, 13414 -13428.

AMA Style

Azam Ghezelbash, Vahid Khaligh, Amjad Anvari‐Moghaddam. A cyber‐secure model to decentralized co‐expansion planning of gas and electricity networks. International Journal of Energy Research. 2021; 45 (9):13414-13428.

Chicago/Turabian Style

Azam Ghezelbash; Vahid Khaligh; Amjad Anvari‐Moghaddam. 2021. "A cyber‐secure model to decentralized co‐expansion planning of gas and electricity networks." International Journal of Energy Research 45, no. 9: 13414-13428.

Chapter
Published: 16 March 2021 in Numerical Methods for Energy Applications
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Microgrids are self-sufficient energy ecosystems designed to tackle the energy challenges of the 21st century. A microgrid is a controllable local energy grid that serves a discrete geographic footprint such as a college campus, hospital complex, business center, or neighborhood. It connects to the grid at a point of common coupling that adopting voltage with the main grid in normal and can break off automatically or manually and works as an island using its local energy generation units in times of crisis. The microgrid concept assumes a cluster of loads and combination of distributed energy resources units such as solar panels, wind turbines, combined heat and power, energy storage systems such as batteries and also electric vehicle charging stations. Microgrids contribute to modify flexibility, reliability, and resiliency, accessibility of green and safe energy with ability to participate in demand response, cost optimization and grid-balancing programs. Microgrids can be categorized via different aspects ranging from the structure such as DC, AC, or hybrid to control scheme such as centralized, decentralized or distributed. This chapter reviews briefly the microgrid concept, its working definitions and classifications.

ACS Style

Maryam Shahbazitabar; Hamdi Abdi; Hossein Nourianfar; Amjad Anvari-Moghaddam; Behnam Mohammadi-Ivatloo; Nikos Hatziargyriou. An Introduction to Microgrids, Concepts, Definition, and Classifications. Numerical Methods for Energy Applications 2021, 3 -16.

AMA Style

Maryam Shahbazitabar, Hamdi Abdi, Hossein Nourianfar, Amjad Anvari-Moghaddam, Behnam Mohammadi-Ivatloo, Nikos Hatziargyriou. An Introduction to Microgrids, Concepts, Definition, and Classifications. Numerical Methods for Energy Applications. 2021; ():3-16.

Chicago/Turabian Style

Maryam Shahbazitabar; Hamdi Abdi; Hossein Nourianfar; Amjad Anvari-Moghaddam; Behnam Mohammadi-Ivatloo; Nikos Hatziargyriou. 2021. "An Introduction to Microgrids, Concepts, Definition, and Classifications." Numerical Methods for Energy Applications , no. : 3-16.

Journal article
Published: 12 March 2021 in Journal of Cleaner Production
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In this paper, municipal solid waste (MSW) based electricity production and district heating (DH) potential of Turkey are considered. Three MSW based waste-to-energy (WtE) scenarios is developed: (i) Scenario-I, a DH system integrated into a gas turbine power plant (GTPP), (ii) Scenario-II, a DH system integrated into an organic Rankine cycle (ORC), and (iii) Scenario-III, which is based solely on a DH system. As a result of the thermodynamic and thermoeconomic analyzes of these developed scenarios using an existing MSW-based cogeneration facility’s actual operating data, the system with the most extended payback period (about 5 years) is found as the GTPP-DH system developed in Scenario-I, which also has the highest investment cost. On the other hand, the system with the shortest payback period (about 2 years) is found as the DH system developed in Scenario-III, which also has the lowest investment cost. Overall exergy efficiencies of the GTTP-DH, ORC-DH, and DH systems are found to be 41.86%, 16.15%, and 31.87%, respectively. When the developed WtE scenarios adapted to the pilot provinces selected from each geographical region of Turkey, it is found that the GTPP system developed in Scenario-I can increase the power generation capacity of MSW plants for each province by about 20%.

ACS Style

Alperen Tozlu; Aysegul Abusoglu; Emrah Ozahi; Amjad Anvari-Moghaddam. Municipal solid waste-based district heating and electricity production: A case study. Journal of Cleaner Production 2021, 297, 126495 .

AMA Style

Alperen Tozlu, Aysegul Abusoglu, Emrah Ozahi, Amjad Anvari-Moghaddam. Municipal solid waste-based district heating and electricity production: A case study. Journal of Cleaner Production. 2021; 297 ():126495.

Chicago/Turabian Style

Alperen Tozlu; Aysegul Abusoglu; Emrah Ozahi; Amjad Anvari-Moghaddam. 2021. "Municipal solid waste-based district heating and electricity production: A case study." Journal of Cleaner Production 297, no. : 126495.

Journal article
Published: 08 March 2021 in IEEE Access
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In this paper, an efficient bi-level framework is proposed to enhance the resilience of microgrids (MGs) against islanding due to low probability-high impact events by incorporating battery swapping stations (BSSs). In the emergency condition, MG solves the upper-level of the proposed model to report the desired energy transaction including surplus energy and unsupplied loads during the islanding period to the BSSs coordinator. The lower-level problem will be solved with an iterative algorithm by BSSs coordinator to report different plans of energy transactions and their prices to the MG during the emergency period. The price of each energy transaction plan is determined based on a bonus mechanism. Finally, MG will choose the best plan of energy trading considering a new proposed perspective of resilience improvement. Furthermore, a new formulation for BSS operation with fewer variables in comparison to the previous works is proposed in this paper. Simulations are carried out on an MG with two BSSs to verify the proposed model.

ACS Style

Javad Najafi; Amjad Anvari-Moghaddam; Mojtaba Mehrzadi; Chun-Lien Su. An Efficient Framework for Improving Microgrid Resilience Against Islanding With Battery Swapping Stations. IEEE Access 2021, 9, 40008 -40018.

AMA Style

Javad Najafi, Amjad Anvari-Moghaddam, Mojtaba Mehrzadi, Chun-Lien Su. An Efficient Framework for Improving Microgrid Resilience Against Islanding With Battery Swapping Stations. IEEE Access. 2021; 9 ():40008-40018.

Chicago/Turabian Style

Javad Najafi; Amjad Anvari-Moghaddam; Mojtaba Mehrzadi; Chun-Lien Su. 2021. "An Efficient Framework for Improving Microgrid Resilience Against Islanding With Battery Swapping Stations." IEEE Access 9, no. : 40008-40018.