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Integration of information technologies with power systems has unlocked unprecedented opportunities in optimization and control fields. Increased data collection and monitoring enable control systems to have a better understanding of the pseudo-real-time condition of power systems. In this fashion, more accurate and effective decisions can be made. This is the key towards mitigating negative impacts of novel technologies such as renewables and electric vehicles and increasing their share in the overall generation portfolio. However, such extensive information exchange has created cybersecurity vulnerabilities in power systems that were not encountered before. It is imperative that these vulnerabilities are understood well, and proper mitigation techniques are implemented. This paper presents an extensive study of cybersecurity concerns in Smart grids in line with latest developments. Relevant standardization and mitigation efforts are discussed in detail and then the classification of different cyber-attacks in smart grid domain with special focus on false data injection (FDI) attack, due to its high impact on different operations. Different uses of this attack as well as developed detection models and methods are analysed. Finally, impacts on smart grid operation and current challenges are presented for future research directions.
Derya Unsal; Taha Ustun; S. Hussain; Ahmet Onen. Enhancing Cybersecurity in Smart Grids: False Data Injection and Its Mitigation. Energies 2021, 14, 2657 .
AMA StyleDerya Unsal, Taha Ustun, S. Hussain, Ahmet Onen. Enhancing Cybersecurity in Smart Grids: False Data Injection and Its Mitigation. Energies. 2021; 14 (9):2657.
Chicago/Turabian StyleDerya Unsal; Taha Ustun; S. Hussain; Ahmet Onen. 2021. "Enhancing Cybersecurity in Smart Grids: False Data Injection and Its Mitigation." Energies 14, no. 9: 2657.
In order to meet the electricity needs of domestic or commercial buildings, solar energy is more attractive than other renewable energy sources in terms of its simplicity of installation, less dependence on the field and its economy. It is possible to extract solar energy from photovoltaic (PV) including rooftop, ground-mounted, and building integrated PV systems. Interest in rooftop PV system applications has increased in recent years due to simple installation and not occupying an external area. However, the negative effects of increased PV penetration on the distribution system are troublesome. The power loss, reverse power flow (RPF), voltage fluctuations, voltage unbalance, are causing voltage quality problems in the power network. On the other hand, variations in system frequency, power factor, and harmonics are affecting the power quality. The excessive PV penetration also the root cause of voltage stability and has an adverse effect on protection system. The aim of this article is to extensively examines the impacts of rooftop PV on distribution network and evaluate possible solution methods in terms of the voltage quality, power quality, system protection and system stability. Moreover, it is to present a comparison of the advantages/disadvantages of the solution methods discussed, and an examination of the solution methods in which artificial intelligence, deep learning and machine learning based optimization and techniques are discussed with common methods.
Busra Uzum; Ahmet Onen; Hany M. Hasanien; S. M. Muyeen. Rooftop Solar PV Penetration Impacts on Distribution Network and Further Growth Factors—A Comprehensive Review. Electronics 2020, 10, 55 .
AMA StyleBusra Uzum, Ahmet Onen, Hany M. Hasanien, S. M. Muyeen. Rooftop Solar PV Penetration Impacts on Distribution Network and Further Growth Factors—A Comprehensive Review. Electronics. 2020; 10 (1):55.
Chicago/Turabian StyleBusra Uzum; Ahmet Onen; Hany M. Hasanien; S. M. Muyeen. 2020. "Rooftop Solar PV Penetration Impacts on Distribution Network and Further Growth Factors—A Comprehensive Review." Electronics 10, no. 1: 55.
The proposed research represents a spin-off of the Malta College of Arts, Science and Technology (MCAST) Micro-Grid (MG) project. Particularly, economic impact of Electric Vehicles (EV) integration into the MG is investigated in this paper. The MCAST MG consists of photovoltaic generation unit, a diesel generator and a battery storage system. In this paper, a Vehicle-to grid (V2G) concept is considered where utilities can profit from controlled energy trading operations according to EVs availability. EVs are categorized under different profiles considering energy and time availability of owners typical work hours. V2G energy cost is estimated based on battery energy wear due V2G extra cycling and refunded to EVs owners. As most of developed V2G studies don’t consider real world input data or/and EV battery aging cost in system modeling and evaluation, the present paper presents a reliable study as it considers a real life MG with in field measurement input data and appropriate battery degradation model. The adopted model represents a linear approximation with a minimum error value to make a suitable tradeoff of computational complexity and accuracy of obtained results. Economic assessment of the system according to the proposed energy management is performed, where results indicate that the V2G system assisted the MG operation during high electricity price period and achieved economic profit to EVs owners. According to numerical results, V2G energy trading achieved 29.90 EUR of gross selling revenues with only 4.46 EUR as battery degradation cost which makes a 16.41% average cost reduction of daily MG operation cost.
Rayhane Koubaa; Yeliz Yoldas; Selcuk Goren; Lotfi Krichen; Ahmet Onen. Implementation of cost benefit analysis of vehicle to grid coupled real Micro-Grid by considering battery energy wear: Practical study case. Energy & Environment 2020, 1 .
AMA StyleRayhane Koubaa, Yeliz Yoldas, Selcuk Goren, Lotfi Krichen, Ahmet Onen. Implementation of cost benefit analysis of vehicle to grid coupled real Micro-Grid by considering battery energy wear: Practical study case. Energy & Environment. 2020; ():1.
Chicago/Turabian StyleRayhane Koubaa; Yeliz Yoldas; Selcuk Goren; Lotfi Krichen; Ahmet Onen. 2020. "Implementation of cost benefit analysis of vehicle to grid coupled real Micro-Grid by considering battery energy wear: Practical study case." Energy & Environment , no. : 1.
A novel Peer-to-peer (P2P) energy trading scheme for a Virtual Power Plant (VPP) is proposed by using Smart Contracts on Ethereum Blockchain Platform. The P2P energy trading is the recent trend the power society is keen to adopt carrying out several trial projects as it eases to generate and share the renewable energy sources in a distributed manner inside local community. Blockchain and smart contracts are the up-and-coming phenomena in the scene of the information technology used to be considered as the cutting-edge research topics in power systems. Earlier works on P2P energy trading including and excluding blockchain technology were focused mainly on the optimization algorithm, Information and Communication Technology, and Internet of Things. Therefore, the financial aspects of P2P trading in a VPP framework is focused and in that regard a P2P energy trading mechanism and bidding platform are developed. The proposed scheme is based on public blockchain network and auction is operated by smart contract addressing both cost and security concerns. The smart contract implementation and execution in a VPP framework including bidding, withdrawal, and control modules developments are the salient feature of this work. The proposed architecture is validated using realistic data with the Ethereum Virtual Machine (EVM) environment of Ropsten Test Network.
Serkan Seven; Gang Yao; Ahmet Soran; Ahmet Onen; S. M. Muyeen. Peer-to-Peer Energy Trading in Virtual Power Plant Based on Blockchain Smart Contracts. IEEE Access 2020, 8, 175713 -175726.
AMA StyleSerkan Seven, Gang Yao, Ahmet Soran, Ahmet Onen, S. M. Muyeen. Peer-to-Peer Energy Trading in Virtual Power Plant Based on Blockchain Smart Contracts. IEEE Access. 2020; 8 ():175713-175726.
Chicago/Turabian StyleSerkan Seven; Gang Yao; Ahmet Soran; Ahmet Onen; S. M. Muyeen. 2020. "Peer-to-Peer Energy Trading in Virtual Power Plant Based on Blockchain Smart Contracts." IEEE Access 8, no. : 175713-175726.
With constant population growth and the rise in technology use, the demand for electrical energy has increased significantly. Increasing fossil-fuel-based electricity generation has serious impacts on environment. As a result, interest in renewable resources has risen, as they are environmentally friendly and may prove to be economical in the long run. However, the intermittent character of renewable energy sources is a major disadvantage. It is important to integrate them with the rest of the grid so that their benefits can be reaped while their negative impacts can be mitigated. In this article, an energy management algorithm is recommended for a grid-connected microgrid consisting of loads, a photovoltaic (PV) system and a battery for efficient use of energy. A model predictive control-inspired approach for energy management is developed using the PV power and consumption estimation obtained from daylight solar irradiation and temperature estimation of the same area. An energy management algorithm, which is based on a neuro-fuzzy inference system, is designed by determining the possible operating states of the system. The proposed system is compared with a rule-based control strategy. Results show that the developed control algorithm ensures that microgrid is supplied with reliable energy while the renewable energy use is maximized.
Ahsen Ulutas; Ismail Hakki Altas; Ahmet Onen; Taha Selim Ustun. Neuro-Fuzzy-Based Model Predictive Energy Management for Grid Connected Microgrids. Electronics 2020, 9, 1 .
AMA StyleAhsen Ulutas, Ismail Hakki Altas, Ahmet Onen, Taha Selim Ustun. Neuro-Fuzzy-Based Model Predictive Energy Management for Grid Connected Microgrids. Electronics. 2020; 9 (6):1.
Chicago/Turabian StyleAhsen Ulutas; Ismail Hakki Altas; Ahmet Onen; Taha Selim Ustun. 2020. "Neuro-Fuzzy-Based Model Predictive Energy Management for Grid Connected Microgrids." Electronics 9, no. 6: 1.
Population growth has brought an increase in energy demand and cost that has a meaningful impact on personal and government expenses. In this respect, governments attach importance to investments in renewable energy resources (RER), which are a sustainable and clean energy source. However, the unpredictable characteristics of RER are a major problem for these clean sources and RER need auxiliary assets. Battery energy storage systems (BESS) are one of the promising solutions for these issues. Due to the high investment cost of BESS, governments act cautiously about accepting and implementing BESS in their power network. Recently, with the improvement of technology, the cost of BESS has been reduced, and therefore battery technologies have begun to be applied to conventional systems. In this study, first, we will review and discuss the current globally state-of-the-art BESS and their applications. Later, attention will be turned to a country-specific study for Turkey.
Mustafa Cagatay Kocer; Ceyhun Cengiz; Mehmet Gezer; Doruk Gunes; Mehmet Aytac Cinar; Bora Alboyaci; Ahmet Onen. Assessment of Battery Storage Technologies for a Turkish Power Network. Sustainability 2019, 11, 3669 .
AMA StyleMustafa Cagatay Kocer, Ceyhun Cengiz, Mehmet Gezer, Doruk Gunes, Mehmet Aytac Cinar, Bora Alboyaci, Ahmet Onen. Assessment of Battery Storage Technologies for a Turkish Power Network. Sustainability. 2019; 11 (13):3669.
Chicago/Turabian StyleMustafa Cagatay Kocer; Ceyhun Cengiz; Mehmet Gezer; Doruk Gunes; Mehmet Aytac Cinar; Bora Alboyaci; Ahmet Onen. 2019. "Assessment of Battery Storage Technologies for a Turkish Power Network." Sustainability 11, no. 13: 3669.
Distribution automation affects reliability by providing faster restoration ability. In this study, the effect of distribution automation on radial distribution circuits during substation failures at peak load is investigated. The ultimate goal is to compare circuit automation to manual operation, where the comparison evaluates planning criteria reliability for customer interruption hours. The results show that distribution automation can improve reliability measurements such as SAIDI, SAIFI and CAIDI.
Yeliz Yoldaş; Ahmet Önen; Irfan Alan; Robert P. Broadwater. Distribution automation effects on reliability during major contingencies. 2018 18th International Conference on Harmonics and Quality of Power (ICHQP) 2018, 1 -5.
AMA StyleYeliz Yoldaş, Ahmet Önen, Irfan Alan, Robert P. Broadwater. Distribution automation effects on reliability during major contingencies. 2018 18th International Conference on Harmonics and Quality of Power (ICHQP). 2018; ():1-5.
Chicago/Turabian StyleYeliz Yoldaş; Ahmet Önen; Irfan Alan; Robert P. Broadwater. 2018. "Distribution automation effects on reliability during major contingencies." 2018 18th International Conference on Harmonics and Quality of Power (ICHQP) , no. : 1-5.
The transmission system expansion planning process requires lots of calculations looking many years into the future, and the results are based on assumed load growth. If the load growth assumed in the planning process is not correct and unexpected load growth occurs for some load points, the transmission system could face serious congestion and even overloading problems. In this paper, transmission line impedance adjustment techniques using distributed series reactance (DSR) is considered. The DSRs can be used to control power flow and alleviate overloading problems. A new term, DSR congestion relief factor, is introduced. The DSR congestion relief factor measures the increase of transmission line capacity with the application of DSRs. Parametric studies run on the IEEE 39-bus system are presented. These studies investigate the economic benefits of DSRs and the use of DSRs for single contingencies and compare DSRs with existing technologies for expanding the transmission system.
Ahmet Onen. Investigation of distributed series reactors in power system applications and its economic implementation. International Transactions on Electrical Energy Systems 2016, 27, e2259 .
AMA StyleAhmet Onen. Investigation of distributed series reactors in power system applications and its economic implementation. International Transactions on Electrical Energy Systems. 2016; 27 (3):e2259.
Chicago/Turabian StyleAhmet Onen. 2016. "Investigation of distributed series reactors in power system applications and its economic implementation." International Transactions on Electrical Energy Systems 27, no. 3: e2259.
Reducing voltage to reduce energy consumption, referred to as conservation voltage reduction (CVR), can lead to energy savings. Calculating the effects of reducing voltage requires accurate load models. This paper investigates a load-voltage dependency factor that can be measured via field experiments using common existing instrumentation. A relationship between the load-voltage dependency factor and the percentage of the load that is constant impedance and the percentage that is constant power is presented. A new coordinated control algorithm using the load-voltage dependency factor measured by the field experiments is proposed. Parametric studies are presented which compare CVR with coordinated control versus traditional control. Across the two model comparisons of minimizing energy consumption, the coordinated control for conservation voltage reduction showed significant energy reduction over local control.
Ahmet Onen. Energy Saving of Conservation Voltage Reduction Based on Load-Voltage Dependency. Sustainability 2016, 8, 803 .
AMA StyleAhmet Onen. Energy Saving of Conservation Voltage Reduction Based on Load-Voltage Dependency. Sustainability. 2016; 8 (8):803.
Chicago/Turabian StyleAhmet Onen. 2016. "Energy Saving of Conservation Voltage Reduction Based on Load-Voltage Dependency." Sustainability 8, no. 8: 803.
A series of analyses along with field validations that evaluate efficiency, reliability, and capacity improvements of model-centric distribution automation are presented. With model-centric distribution automation, the same model is used from design to real-time control calculations. A 14-feeder system with 7 substations is considered. The analyses involve hourly time-varying loads and annual load growth factors. Phase balancing and capacitor redesign modifications are used to better prepare the system for distribution automation, where the designs are performed considering time-varying loads. Coordinated control of load tap changing transformers, line regulators, and switched capacitor banks is considered. In evaluating distribution automation versus traditional system design and operation, quasi-steady-state power flow analysis is used. In evaluating distribution automation performance for substation transformer failures, reconfiguration for restoration analysis is performed. In evaluating distribution automation for storm conditions, Monte Carlo simulations coupled with reconfiguration for restoration calculations are used. The evaluations demonstrate that model-centric distribution automation has positive effects on system efficiency, capacity, and reliability.
Ahmet Önen; Jaesung Jung; Murat Dilek; Danling Cheng; Robert P. Broadwater; Charlie Scirbona; George Cocks; Stephanie Hamilton; Xiaoyu Wang. Model-centric Distribution Automation: Capacity, Reliability, and Efficiency. Electric Power Components and Systems 2016, 44, 1 -11.
AMA StyleAhmet Önen, Jaesung Jung, Murat Dilek, Danling Cheng, Robert P. Broadwater, Charlie Scirbona, George Cocks, Stephanie Hamilton, Xiaoyu Wang. Model-centric Distribution Automation: Capacity, Reliability, and Efficiency. Electric Power Components and Systems. 2016; 44 (5):1-11.
Chicago/Turabian StyleAhmet Önen; Jaesung Jung; Murat Dilek; Danling Cheng; Robert P. Broadwater; Charlie Scirbona; George Cocks; Stephanie Hamilton; Xiaoyu Wang. 2016. "Model-centric Distribution Automation: Capacity, Reliability, and Efficiency." Electric Power Components and Systems 44, no. 5: 1-11.
Phase balancing can offer planning engineers a low-cost means of reducing operating costs, improving efficiency in electric power systems. In general, utilities make phase balancing based on peak load by thinking that is the worst case scenario, but every time is not the case. In this paper, time varying phase balancing algorithm is proposed to investigate the effect of hourly phase balancing for all year (8760 hour for a year) and also evaluate system efficiency and cost saving for all hours. Additionally, it is important for the planning engineers to estimate losses accurately to make phase moves, and the peak load does not always provide the most efficient phase moves among the hours in year. In this paper, there different scenarios will be compared; base case, phase balancing based on peak load, and hourly time varying phase balancing. These scenarios will be compared based on loss reduction, and cost saving with Locational Marginal Price (LMP) to provide the planning engineers ideas about effective power system planning.
Ahmet Onen. Efficiency and cost evaluation of distribution systems based on multiple time points. 2015 Modern Electric Power Systems (MEPS) 2015, 1 -4.
AMA StyleAhmet Onen. Efficiency and cost evaluation of distribution systems based on multiple time points. 2015 Modern Electric Power Systems (MEPS). 2015; ():1-4.
Chicago/Turabian StyleAhmet Onen. 2015. "Efficiency and cost evaluation of distribution systems based on multiple time points." 2015 Modern Electric Power Systems (MEPS) , no. : 1-4.
Jaesung Jung; Ahmet Önen; Kevin Russell; Robert P. Broadwater; Steve Steffel; Alex Dinkel. Configurable, Hierarchical, Model-based, Scheduling Control with photovoltaic generators in power distribution circuits. Renewable Energy 2015, 76, 318 -329.
AMA StyleJaesung Jung, Ahmet Önen, Kevin Russell, Robert P. Broadwater, Steve Steffel, Alex Dinkel. Configurable, Hierarchical, Model-based, Scheduling Control with photovoltaic generators in power distribution circuits. Renewable Energy. 2015; 76 ():318-329.
Chicago/Turabian StyleJaesung Jung; Ahmet Önen; Kevin Russell; Robert P. Broadwater; Steve Steffel; Alex Dinkel. 2015. "Configurable, Hierarchical, Model-based, Scheduling Control with photovoltaic generators in power distribution circuits." Renewable Energy 76, no. : 318-329.
Electric distribution design and operational goals include meeting customer reliability requirements at the lowest cost. Smart Grid investments have the potential for helping meet these goals, and this paper presents a series of analyses that evaluate the incremental economic benefits of smart grid automation investments. Smart Grid investments provide a number of benefits to customers. Here only benefits that can be objectively quantified in terms of economic savings are considered. Smart Grid automation investments in this work include investments in feeder efficiency, automated switches, and coordinated control of capacitor banks, voltage regulators and load tab changers. Benefits that come from these investments are improved efficiency, reduced demand, shortened storm restoration time, and improved performance during reconfiguration events. The analyses used in the evaluation are very detailed, involving hourly, quasi-steady state power flow analysis over a ten year period for calculating energy consumption and costs, and Monte Carlo simulations for six different storm types. The evaluation shows that similar to other industries, an investment in automation can be justified in terms of hard dollars.
Ahmet Önen; Robert Broadwater. Is the smart grid a good investment? 2015 3rd International Istanbul Smart Grid Congress and Fair (ICSG) 2015, 1 -5.
AMA StyleAhmet Önen, Robert Broadwater. Is the smart grid a good investment? 2015 3rd International Istanbul Smart Grid Congress and Fair (ICSG). 2015; ():1-5.
Chicago/Turabian StyleAhmet Önen; Robert Broadwater. 2015. "Is the smart grid a good investment?" 2015 3rd International Istanbul Smart Grid Congress and Fair (ICSG) , no. : 1-5.
—Storm response and restoration can be very expensive for electric utilities. The deployment of automated switches can benefit the utility by decreasing storm restoration hours. The automated switches also improve system reliably by decreasing customer interruption duration. In this article, a Monte Carlo simulation is used to mimic storm equipment failure events, followed by reconfiguration for restoration and power flow evaluations. The customer outage status and duration are examined. Changes in reliability for the system with and without automated switching devices are investigated. Economic benefits of utilizing smart grid automated devices are considered.
Danling Cheng; Ahmet Önen; Dan Zhu; David Kleppinger; Reza Arghandeh; Robert P. Broadwater; Charlie Scirbona. Automation Effects on Reliability and Operation Costs in Storm Restoration. Electric Power Components and Systems 2015, 43, 656 -664.
AMA StyleDanling Cheng, Ahmet Önen, Dan Zhu, David Kleppinger, Reza Arghandeh, Robert P. Broadwater, Charlie Scirbona. Automation Effects on Reliability and Operation Costs in Storm Restoration. Electric Power Components and Systems. 2015; 43 (6):656-664.
Chicago/Turabian StyleDanling Cheng; Ahmet Önen; Dan Zhu; David Kleppinger; Reza Arghandeh; Robert P. Broadwater; Charlie Scirbona. 2015. "Automation Effects on Reliability and Operation Costs in Storm Restoration." Electric Power Components and Systems 43, no. 6: 656-664.
Jaesung Jung; Ahmet Önen; Kevin Russell; Robert P. Broadwater. Local steady-state and quasi steady-state impact studies of high photovoltaic generation penetration in power distribution circuits. Renewable and Sustainable Energy Reviews 2015, 43, 569 -583.
AMA StyleJaesung Jung, Ahmet Önen, Kevin Russell, Robert P. Broadwater. Local steady-state and quasi steady-state impact studies of high photovoltaic generation penetration in power distribution circuits. Renewable and Sustainable Energy Reviews. 2015; 43 ():569-583.
Chicago/Turabian StyleJaesung Jung; Ahmet Önen; Kevin Russell; Robert P. Broadwater. 2015. "Local steady-state and quasi steady-state impact studies of high photovoltaic generation penetration in power distribution circuits." Renewable and Sustainable Energy Reviews 43, no. : 569-583.
Ahmet Önen; Danling Cheng; Robert P. Broadwater; Charlie Scirbona; George Cocks; Stephanie Hamilton; Xiaoyu Wang; Jeffrey Roark. Economic Evaluation of Distribution System Smart Grid Investments. Electric Power Components and Systems 2014, 43, 224 -233.
AMA StyleAhmet Önen, Danling Cheng, Robert P. Broadwater, Charlie Scirbona, George Cocks, Stephanie Hamilton, Xiaoyu Wang, Jeffrey Roark. Economic Evaluation of Distribution System Smart Grid Investments. Electric Power Components and Systems. 2014; 43 (2):224-233.
Chicago/Turabian StyleAhmet Önen; Danling Cheng; Robert P. Broadwater; Charlie Scirbona; George Cocks; Stephanie Hamilton; Xiaoyu Wang; Jeffrey Roark. 2014. "Economic Evaluation of Distribution System Smart Grid Investments." Electric Power Components and Systems 43, no. 2: 224-233.
Reza Arghandeh; Jeremy Woyak; Ahmet Onen; Jaesung Jung; Robert P. Broadwater. Economic optimal operation of Community Energy Storage systems in competitive energy markets. Applied Energy 2014, 135, 71 -80.
AMA StyleReza Arghandeh, Jeremy Woyak, Ahmet Onen, Jaesung Jung, Robert P. Broadwater. Economic optimal operation of Community Energy Storage systems in competitive energy markets. Applied Energy. 2014; 135 ():71-80.
Chicago/Turabian StyleReza Arghandeh; Jeremy Woyak; Ahmet Onen; Jaesung Jung; Robert P. Broadwater. 2014. "Economic optimal operation of Community Energy Storage systems in competitive energy markets." Applied Energy 135, no. : 71-80.
Ahmet Önen; Jeremy Woyak; Reza Arghandeh; Jaesung Jung; Charlie Scirbona; Robert P. Broadwater. Time-varying cost of loss evaluation in distribution networks using market marginal price. International Journal of Electrical Power & Energy Systems 2014, 62, 712 -717.
AMA StyleAhmet Önen, Jeremy Woyak, Reza Arghandeh, Jaesung Jung, Charlie Scirbona, Robert P. Broadwater. Time-varying cost of loss evaluation in distribution networks using market marginal price. International Journal of Electrical Power & Energy Systems. 2014; 62 ():712-717.
Chicago/Turabian StyleAhmet Önen; Jeremy Woyak; Reza Arghandeh; Jaesung Jung; Charlie Scirbona; Robert P. Broadwater. 2014. "Time-varying cost of loss evaluation in distribution networks using market marginal price." International Journal of Electrical Power & Energy Systems 62, no. : 712-717.
Reza Arghandeh; Ahmet Onen; Jaesung Jung; Danling Cheng; Robert P. Broadwater; Virgilio Centeno. Phasor-based assessment for harmonic sources in distribution networks. Electric Power Systems Research 2014, 116, 94 -105.
AMA StyleReza Arghandeh, Ahmet Onen, Jaesung Jung, Danling Cheng, Robert P. Broadwater, Virgilio Centeno. Phasor-based assessment for harmonic sources in distribution networks. Electric Power Systems Research. 2014; 116 ():94-105.
Chicago/Turabian StyleReza Arghandeh; Ahmet Onen; Jaesung Jung; Danling Cheng; Robert P. Broadwater; Virgilio Centeno. 2014. "Phasor-based assessment for harmonic sources in distribution networks." Electric Power Systems Research 116, no. : 94-105.
A model centric approach for Monte Carlo simulation for evaluating the economic and reliability benefits of automated switches for storm restoration is presented. A very detailed circuit model with over 20,000 individual customers modeled is used in the simulation. The simulation uses non-constant equipment failure rates based upon actual utility measurements. As part of the Monte Carlo storm simulation, a reconfiguration for restoration algorithm is employed in determining the response to each outage. The reconfiguration for restoration algorithm can work with either manual or automated switches, or both. System reliability with and without automated switching devices is investigated. Cost benefits as well as reliability benefits are considered.
Danling Cheng; Ahmet Önen; Reza Arghandeh; Jaesung Jung; Robert Broadwater; Charlie Scirbona. Model Centric Approach for Monte Carlo Assessment of Storm Restoration and Smart Grid Automation. Volume 2: Simple and Combined Cycles; Advanced Energy Systems and Renewables (Wind, Solar and Geothermal); Energy Water Nexus; Thermal Hydraulics and CFD; Nuclear Plant Design, Licensing and Construction; Performance Testing and Performance Test Codes; Student Paper Competition 2014, 1 .
AMA StyleDanling Cheng, Ahmet Önen, Reza Arghandeh, Jaesung Jung, Robert Broadwater, Charlie Scirbona. Model Centric Approach for Monte Carlo Assessment of Storm Restoration and Smart Grid Automation. Volume 2: Simple and Combined Cycles; Advanced Energy Systems and Renewables (Wind, Solar and Geothermal); Energy Water Nexus; Thermal Hydraulics and CFD; Nuclear Plant Design, Licensing and Construction; Performance Testing and Performance Test Codes; Student Paper Competition. 2014; ():1.
Chicago/Turabian StyleDanling Cheng; Ahmet Önen; Reza Arghandeh; Jaesung Jung; Robert Broadwater; Charlie Scirbona. 2014. "Model Centric Approach for Monte Carlo Assessment of Storm Restoration and Smart Grid Automation." Volume 2: Simple and Combined Cycles; Advanced Energy Systems and Renewables (Wind, Solar and Geothermal); Energy Water Nexus; Thermal Hydraulics and CFD; Nuclear Plant Design, Licensing and Construction; Performance Testing and Performance Test Codes; Student Paper Competition , no. : 1.