Neethu Elizabeth Michael, Ramesh C. Bansal, Ali A.A. Ismail, A. Elnady, Shazia Hasan
{"title":"Optimized energy management for photovoltaic/wind hybrid micro-grid using energy storage solution","authors":"Neethu Elizabeth Michael, Ramesh C. Bansal, Ali A.A. Ismail, A. Elnady, Shazia Hasan","doi":"10.1080/02286203.2023.2254194","DOIUrl":null,"url":null,"abstract":"ABSTRACTOne of the key strategies for reducing the rate of environmental pollution is decarbonizing the power industry. In this work, we investigate the effects of energy storage systems (ESS) and fluctuations in renewable energy on climate change mitigation in a grid-connected microgrid. This analysis has been carried out by utilizing an improved energy management system (EMS) and optimal economic dispatch using computational models of mixed-integer linear programming (MILP). In addition to battery deterioration analysis, long short-term memory (LSTM) is developed to estimate photovoltaic and wind power renewable production, energy price, and load requirement. A sensitivity assessment is also performed to evaluate the influence of different input constraints on the model. The output results demonstrated that the EMS could schedule power effectively while considering electricity pricing. By up to 1636.96 $/hr. in day-ahead revenue with the degradation effect and 1811.96 $/hr. without the degradation effect, the analysis confirmed the usefulness of the proposed framework. Through the case studies explained, the new objective function observed minimum power costs with battery degradation by up to 1.10% less as compared to without battery degradation effect. Furthermore, the second case analysis indicates the significance of considering forecasted electrical parameters for realistic microgrid power dispatch.KEYWORDS: Economic dispatchenergy storage systemenergy management systemrenewable poweruncertaintymicrogrid Disclosure statementNo potential conflict of interest was reported by the authors.Additional informationNotes on contributorsNeethu Elizabeth MichaelNeethu Elizabeth Michael received her Ph.D. in Electrical Engineering from BITS Pilani, India in 2022, her MTech degree in Power Systems from the University of Calicut, Kerala, India in 2011, and her BTech degree in Electrical and Electronics Engineering from Mahatma Gandhi University, Kerala, India in 2009. Her work demonstrates quantitative scientific methodologies expertise, collaboration with societal research partners, and a track record of Q1 research publications. Her research interest includes microgrid power quality issues, renewable energy resources integration problems, virtual inertia applications in power systems, and participation and optimization of electric vehicles in the power market.Ramesh C. BansalRamesh C. Bansal has over 25 years of teaching, research, academic leadership, and industrial experience. Currently, he is a Professor in the EE Dept. at the University of Sharjah, UAE, and an Extraordinary Professor at the University of Pretoria, South Africa. In previous postings, he was a Professor and Group head (Power) at the University of Pretoria and worked with the University of Queensland, Australia; USP, Fiji; and BITS Pilani, India. Prof. Bansal has published over 400 journal articles, conf. papers, books/book chapters. He has Google citations of over 18000 and an h-index of 65. He has supervised 25 PhD and 5 Post Docs. Prof. Bansal has significantly attracted significant funding from Industry and Government Organizations. He is an Editor of reputed journals including IEEE Systems Journal, IET-RPG, and SGSE. He is a Fellow, and CP Engg IET-UK, Fellow IE (India), and a Senior Member IEEE. He has diversified research interests in the areas of Renewable Energy, Power Systems, and Smart Grid.Ali A.A. IsmailAli A.A. Ismail (Member, IEEE) received a B.Sc. degree from the University of Khartoum, Sudan, in 1991, a M.Sc. degree from the University of Baghdad, Iraq, in 1997, and a Ph.D. degree in electrical engineering from Yildiz Technical University, Istanbul, Turkey, in 2007. His research interests include the control of electrical machines, power electronics applications, low-frequency electromagnetic waves, filters, and smart grids.A. ElnadyA. Elnady (Senior Member, IEEE) received bachelor’s and master’s degrees from Cairo University, Cairo, Egypt, in 1990 and 1998, respectively, and the Ph.D. degree from the University of Waterloo, Waterloo, ON, Canada, in 2004. His research interests include power-electronics applications in power systems, power quality in distribution systems, smart grids, and the integration of renewable sources within power grids.Shazia HasanShazia Hasan has more than 15 years of teaching and research experience in reputed institutes of India and currently working as an Associate Professor at BITS Pilani Dubai Campus. She received her bachelor’s degree in 2002 and her Ph.D. in the year 2012. She won the ‘Young Scientist Award’ from VIFRA in 2015. She has published more than 40 research papers in peer-reviewed international journals/conferences like IEEE, IET, Elsevier, Measurement, etc. She has served as convenor/co-convenor for several international conferences. Recently she received the “Academic Achievement for university professor award” LEWAS 2020. 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引用次数: 0
Abstract
ABSTRACTOne of the key strategies for reducing the rate of environmental pollution is decarbonizing the power industry. In this work, we investigate the effects of energy storage systems (ESS) and fluctuations in renewable energy on climate change mitigation in a grid-connected microgrid. This analysis has been carried out by utilizing an improved energy management system (EMS) and optimal economic dispatch using computational models of mixed-integer linear programming (MILP). In addition to battery deterioration analysis, long short-term memory (LSTM) is developed to estimate photovoltaic and wind power renewable production, energy price, and load requirement. A sensitivity assessment is also performed to evaluate the influence of different input constraints on the model. The output results demonstrated that the EMS could schedule power effectively while considering electricity pricing. By up to 1636.96 $/hr. in day-ahead revenue with the degradation effect and 1811.96 $/hr. without the degradation effect, the analysis confirmed the usefulness of the proposed framework. Through the case studies explained, the new objective function observed minimum power costs with battery degradation by up to 1.10% less as compared to without battery degradation effect. Furthermore, the second case analysis indicates the significance of considering forecasted electrical parameters for realistic microgrid power dispatch.KEYWORDS: Economic dispatchenergy storage systemenergy management systemrenewable poweruncertaintymicrogrid Disclosure statementNo potential conflict of interest was reported by the authors.Additional informationNotes on contributorsNeethu Elizabeth MichaelNeethu Elizabeth Michael received her Ph.D. in Electrical Engineering from BITS Pilani, India in 2022, her MTech degree in Power Systems from the University of Calicut, Kerala, India in 2011, and her BTech degree in Electrical and Electronics Engineering from Mahatma Gandhi University, Kerala, India in 2009. Her work demonstrates quantitative scientific methodologies expertise, collaboration with societal research partners, and a track record of Q1 research publications. Her research interest includes microgrid power quality issues, renewable energy resources integration problems, virtual inertia applications in power systems, and participation and optimization of electric vehicles in the power market.Ramesh C. BansalRamesh C. Bansal has over 25 years of teaching, research, academic leadership, and industrial experience. Currently, he is a Professor in the EE Dept. at the University of Sharjah, UAE, and an Extraordinary Professor at the University of Pretoria, South Africa. In previous postings, he was a Professor and Group head (Power) at the University of Pretoria and worked with the University of Queensland, Australia; USP, Fiji; and BITS Pilani, India. Prof. Bansal has published over 400 journal articles, conf. papers, books/book chapters. He has Google citations of over 18000 and an h-index of 65. He has supervised 25 PhD and 5 Post Docs. Prof. Bansal has significantly attracted significant funding from Industry and Government Organizations. He is an Editor of reputed journals including IEEE Systems Journal, IET-RPG, and SGSE. He is a Fellow, and CP Engg IET-UK, Fellow IE (India), and a Senior Member IEEE. He has diversified research interests in the areas of Renewable Energy, Power Systems, and Smart Grid.Ali A.A. IsmailAli A.A. Ismail (Member, IEEE) received a B.Sc. degree from the University of Khartoum, Sudan, in 1991, a M.Sc. degree from the University of Baghdad, Iraq, in 1997, and a Ph.D. degree in electrical engineering from Yildiz Technical University, Istanbul, Turkey, in 2007. His research interests include the control of electrical machines, power electronics applications, low-frequency electromagnetic waves, filters, and smart grids.A. ElnadyA. Elnady (Senior Member, IEEE) received bachelor’s and master’s degrees from Cairo University, Cairo, Egypt, in 1990 and 1998, respectively, and the Ph.D. degree from the University of Waterloo, Waterloo, ON, Canada, in 2004. His research interests include power-electronics applications in power systems, power quality in distribution systems, smart grids, and the integration of renewable sources within power grids.Shazia HasanShazia Hasan has more than 15 years of teaching and research experience in reputed institutes of India and currently working as an Associate Professor at BITS Pilani Dubai Campus. She received her bachelor’s degree in 2002 and her Ph.D. in the year 2012. She won the ‘Young Scientist Award’ from VIFRA in 2015. She has published more than 40 research papers in peer-reviewed international journals/conferences like IEEE, IET, Elsevier, Measurement, etc. She has served as convenor/co-convenor for several international conferences. Recently she received the “Academic Achievement for university professor award” LEWAS 2020. Her research interest includes signal processing application for Power systems, renewable energy integration, and filter design.
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This journal was first published in 1981 and covers languages, hardware, software, methodology, identification, numerical methods, graphical methods, VLSI, microcomputers in simulation, and applications in all fields. It appears quarterly.