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Evaluation of technical and financial benefits of battery energy storage system control strategies

Year 2023, Volume: 8 Issue: 3, 513 - 534, 22.09.2023
https://doi.org/10.58559/ijes.1321550

Abstract

The recent increase in renewable energy generation can balance consumption and reduce carbon emissions. With battery energy storage optimizing supply and demand, it is more important than ever to manage charge control to the benefit of all stakeholders. In this paper, the developed and proposed energy management control methods based on the technical operating criteria of battery energy storage (BESS) and considering self-consumption rate (SCR), self-supply rate (SSR) and curtailment rate are compared in terms of environmental index and economics for daily and annual demand profiles for various household prosumer demand profiles in Istanbul and Antalya. Considering the supply-demand matching based on demand profile, feed-in damping, fixed feed-in, schedule mode, schedule mode with constant charging power and self-consumption control methods are proposed for optimum operation for each prosumer profile. The results show that feed-in damping and fixed feed-in methods can reduce household prosumer costs by up to 22.3% in the daily analysis. Moreover, similar control methods can increase SCR by up to 29.5% and reduce costs by up to 10.62% for higher irradiances in the annual analysis. Proper management of BESS charge control can facilitate sustainable development goals by assisting plans of many stakeholders.

References

  • [1] Pippi KD, Papadopoulos TA, Kryonidis GC. Impact assessment framework of PV‐BES systems to active distribution networks. IET Renewable Power Generation 2022; 16: 33–47.
  • [2] Lin J, Sun J, Feng Y, Zheng M, Yu Z. Aggregate demand response strategies for smart communities with battery-charging/switching electric vehicles. Journal of Energy Storage 2023; 58: 106413-106424.
  • [3] Dong S, Kremers E, Brucoli M, Rothman R, Brown S. Establishing the value of community energy storage: A comparative analysis of the UK and Germany. Journal of Energy Storage 2021; 40: 102709-102723.
  • [4] Duman AC, Erden HS, Gönül Ö, Güler Ö. Optimal sizing of PV-BESS units for home energy management system-equipped households considering day-ahead load scheduling for demand response and self-consumption. Energy and Buildings 2022; 267: 112164-112182.
  • [5] Elio J, Milcarek RJ. A comparison of optimal peak clipping and load shifting energy storage dispatch control strategies for event-based demand response. Energy Conversion and Management 2023; 19: 100392-100402.
  • [6] Chen Y, Zhao C, Wei W, Wu Q, Hou Y, Pandžić H. Guest editorial: Low‐carbon operation and marketing of distribution systems. IET Renewable Power Generation 2022; 16: 2463–2467.
  • [7] Liu J, Hu C, Kimber A, Wang Z. Uses, cost-benefit analysis, and markets of energy storage systems for electric grid applications. Journal of Energy Storage 2020; 32: 101731-101746.
  • [8] Faraji J, Ketabi A, Hashemi-Dezaki H. Optimization of the scheduling and operation of prosumers considering the loss of life costs of battery storage systems. Journal of Energy Storage 2020; 31: 101655-101672.
  • [9] Mustika AD, Rigo-Mariani R, Debusschere V, Pachurka A. A two-stage management strategy for the optimal operation and billing in an energy community with collective self-consumption. Applied Energy 2022; 310: 118484-118495.
  • [10] Hossain MA, Pota HR, Squartini S, Abdou AF. Modified PSO algorithm for real-time energy management in grid-connected microgrids. Renewable Energy 2019; 136: 746–757.
  • [11] Hu Y, Schofield N, Shobayo LO, Zhao N. Investigation of transient energy storage sources for support of future electrical power systems. IET Renewable Power Generation 2020; 14: 1296–1303.
  • [12] Muratori M, Rizzoni G. Residential demand response: Dynamic energy management and time-varying electricity pricing. IEEE Transactions on Power Systems 2016; 31: 1108–1117.
  • [13] Tang H, Wang S. Energy flexibility quantification of grid-responsive buildings: Energy flexibility index and assessment of their effectiveness for applications. Energy 2021; 221: 119756-119772.
  • [14] Li X, Wang S. A review on energy management, operation control and application methods for grid battery energy storage systems. CSEE Journal of Power and Energy Systems 2021; 7: 1026-1040.
  • [15] Bluhm H, Gährs S. Environmental assessment of prosumer digitalization: The case of virtual pooling of PV battery storage systems. Journal of Energy Storage 2023; 59: 106487-106500.
  • [16] Lee ZE, Zhang KM. Regulated peer-to-peer energy markets for harnessing decentralized demand flexibility. Applied Energy 2023; 336: 120672-120684.
  • [17] Morey M, Gupta N, Garg MM, Kumar A. A comprehensive review of grid-connected solar photovoltaic system: Architecture, control, and ancillary services. Renewable Energy Focus 2023; 45: 307–330.
  • [18] Xu Y, Parisio A, Li Z, Dong Z, Ding Z. Optimization-based ramping reserve allocation of BESS for AGC enhancement. IEEE Transactions on Power Systems 2023; Early Access: 1–15.
  • [19] Sarfarazi S, Mohammadi S, Khastieva D, Hesamzadeh MR, Bertsch V, Bunn D. An optimal real-time pricing strategy for aggregating distributed generation and battery storage systems in energy communities: A stochastic bilevel optimization approach. International Journal of Electrical Power and Energy Systems 2023; 147: 108770-108788.
  • [20] Aranzabal I, Gomez-Cornejo J, López I, Zubiria A, Mazón J, Feijoo-Arostegui A, Gaztañaga H. Optimal management of an energy community with PV and battery-energy-storage systems. Energies 2023; 16: 789- 812.
  • [21] Nousdilis AI, Kryonidis GC, Kontis EO, Barzegkar‐Ntovom GA, Panapakidis IP, Christoforidis GC, Papagiannis GK. Impact of policy incentives on the promotion of integrated PV and battery storage systems: a techno‐ economic assessment. IET Renewable Power Generation 2020; 14: 1174–1183.
  • [22] Zhang Q, Yan J, Gao HO, You F. A systematic review on power systems planning and operations management with grid integration of transportation electrification at scale. Advances in Applied Energy 2023; 11: 100147-100170.
  • [23] Maturo A, Vallianos C, Buonomano A, Athienitis A. A novel multi-level predictive management strategy to optimize phase-change energy storage and building-integrated renewable technologies operation under dynamic tariffs. Energy Conversion and Management 2023; 291: 117220-117235.
  • [24] Asri R, Aki H, Kodaira D. Optimal operation of shared energy storage on islanded microgrid for remote communities. Sustainable Energy, Grids and Networks 2023; Early Access: 101104-101145.
  • [25] Shabani M, Wallin F, Dahlquist E, Yan J. The impact of battery operating management strategies on life cycle cost assessment in real power market for a grid-connected residential battery application. Energy 2023; 270: 126829-126843.
  • [26] Liu Y, Zhang Y, Cheng G, Lv K, Zhu J, Che Y. Grid-friendly energy prosumers based on the energy router with load switching functionality. International Journal of Electrical Power and Energy Systems 2023; 144: 108496- 108510.
  • [27] Li J, Danzer MA. Optimal charge control strategies for stationary photovoltaic battery systems. Journal of Power Sources 2014; 258: 365–373.
  • [28] Zeh A, Witzmann R. Operational strategies for battery storage systems in low-voltage distribution grids to limit the feed-in power of roof-mounted solar power systems. Energy Procedia 2014; 46: 114–123.
  • [29] Resch M, Ramadhani B, Bühler J, Sumper A. Comparison of control strategies of residential PV storage systems. 9th International Renewable Energy Storage Conference (IRES), Messe, Düsseldorf, Germany, 2015.
  • [30] Struth J, Leuthold M, Aretz A, Bost M. PV-Benefit: A critical review of the effect of grid integrated PV-storage- systems. 8th International Renewable Energy Storage Conference and Exhibition (IRES), Berlin, Germany, 2013.
  • [31] Schneider M, Boras P, Schaede H, Quurck L, Rinderknecht S. Effects of operational strategies on performance and costs of electric energy storage systems. Energy Procedia 2014; 46: 271–280.
  • [32] Ueda Y, Kurokawa K. Study on the over voltage problem and battery operation for grid connected residential PV systems. 22nd European Photovoltaic Solar Energy Conference (EU PVSEC), Milan, Italy, 2007.
  • [33] Artaş SB, Kocaman E, Bilgiç HH, Tutumlu H, Yağlı H, Yumrutaş R. Why PV panels must be recycled at the end of their economic life span? A case study on recycling together with the global situation. Process Safety and Environmental Protection 2023; 174: 63–78.
  • [34] Zhao C, Andersen PB, Træholt C, Hashemi S. Grid-connected battery energy storage system : A review on application and integration. Renewable and Sustainable Energy Reviews 2023; 182: 113400-113418.
  • [35] Libra M, Mrázek D, Tyukhov I, Severová L, Poulek V, Mach J, Šubrt T, Beránek V, Svoboda R, Sedláček J. Reduced real lifetime of PV panels – Economic consequences. Solar Energy 2023; 259: 229–234.
  • [36] Alijanov DD, Topvoldiyev NA. Physical and technical fundamentals of photoelectric solar panels energy. Theoretical & Applied Science 2022; 108 (4): 501-505.
  • [37] Terkes M, Demirci A, Gokalp E. An evaluation of optimal sized second-life electric vehicle batteries improving technical, economic, and environmental effects of hybrid power systems. Energy Conversion and Management 2023; 291: 117272-117286.
  • [38] Terkes M, Tercan SM, Demirci A, Gokalp E. An evaluation of renewable fraction using energy storage for electric vehicle charging station. 4th International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA), Ankara, Türkiye, 2022.
  • [39] Tercan SM, Demirci A, Gokalp E, Cali U. Maximizing self-consumption rates and power quality towards two- stage evaluation for solar energy and shared energy storage empowered microgrids. Journal of Energy Storage 2022; 51: 104561-104573.
  • [40] Keskin B, Şora Günal E, Urazel B, Keskin K. Elektrikli araç bataryalarının şarj durum tahmini için bir model. Nicel Bilimler Dergisi 2022; 4: 161–175.
  • [41] Wang S, Fan Y, Stroe D, Fernandez C, Yu C, Cao W, Chen Z. Lithium-ion battery characteristics and applications. Battery System Modeling 2021; 1: 1-46.
  • [42] Mazzeo D, Leva S, Matera N, Kontoleon KJ, Saboor S, Pirouz B, Elkadeem MR. A user-friendly and accurate machine learning tool for the evaluation of the worldwide yearly photovoltaic electricity production. Energy Reports 2023; 9: 6267–6294.
  • [43] NASA. Prediction of worldwide energy resource (POWER) database. Access: June 2023. https://power.larc.nasa.gov.
  • [44] Weniger J, Tijaden T, Quaschning V. Sizing and grid integration of residential PV battery systems. 8th International Renewable Energy Storage Conference (IRES), Berlin, Germany, 2013.
Year 2023, Volume: 8 Issue: 3, 513 - 534, 22.09.2023
https://doi.org/10.58559/ijes.1321550

Abstract

References

  • [1] Pippi KD, Papadopoulos TA, Kryonidis GC. Impact assessment framework of PV‐BES systems to active distribution networks. IET Renewable Power Generation 2022; 16: 33–47.
  • [2] Lin J, Sun J, Feng Y, Zheng M, Yu Z. Aggregate demand response strategies for smart communities with battery-charging/switching electric vehicles. Journal of Energy Storage 2023; 58: 106413-106424.
  • [3] Dong S, Kremers E, Brucoli M, Rothman R, Brown S. Establishing the value of community energy storage: A comparative analysis of the UK and Germany. Journal of Energy Storage 2021; 40: 102709-102723.
  • [4] Duman AC, Erden HS, Gönül Ö, Güler Ö. Optimal sizing of PV-BESS units for home energy management system-equipped households considering day-ahead load scheduling for demand response and self-consumption. Energy and Buildings 2022; 267: 112164-112182.
  • [5] Elio J, Milcarek RJ. A comparison of optimal peak clipping and load shifting energy storage dispatch control strategies for event-based demand response. Energy Conversion and Management 2023; 19: 100392-100402.
  • [6] Chen Y, Zhao C, Wei W, Wu Q, Hou Y, Pandžić H. Guest editorial: Low‐carbon operation and marketing of distribution systems. IET Renewable Power Generation 2022; 16: 2463–2467.
  • [7] Liu J, Hu C, Kimber A, Wang Z. Uses, cost-benefit analysis, and markets of energy storage systems for electric grid applications. Journal of Energy Storage 2020; 32: 101731-101746.
  • [8] Faraji J, Ketabi A, Hashemi-Dezaki H. Optimization of the scheduling and operation of prosumers considering the loss of life costs of battery storage systems. Journal of Energy Storage 2020; 31: 101655-101672.
  • [9] Mustika AD, Rigo-Mariani R, Debusschere V, Pachurka A. A two-stage management strategy for the optimal operation and billing in an energy community with collective self-consumption. Applied Energy 2022; 310: 118484-118495.
  • [10] Hossain MA, Pota HR, Squartini S, Abdou AF. Modified PSO algorithm for real-time energy management in grid-connected microgrids. Renewable Energy 2019; 136: 746–757.
  • [11] Hu Y, Schofield N, Shobayo LO, Zhao N. Investigation of transient energy storage sources for support of future electrical power systems. IET Renewable Power Generation 2020; 14: 1296–1303.
  • [12] Muratori M, Rizzoni G. Residential demand response: Dynamic energy management and time-varying electricity pricing. IEEE Transactions on Power Systems 2016; 31: 1108–1117.
  • [13] Tang H, Wang S. Energy flexibility quantification of grid-responsive buildings: Energy flexibility index and assessment of their effectiveness for applications. Energy 2021; 221: 119756-119772.
  • [14] Li X, Wang S. A review on energy management, operation control and application methods for grid battery energy storage systems. CSEE Journal of Power and Energy Systems 2021; 7: 1026-1040.
  • [15] Bluhm H, Gährs S. Environmental assessment of prosumer digitalization: The case of virtual pooling of PV battery storage systems. Journal of Energy Storage 2023; 59: 106487-106500.
  • [16] Lee ZE, Zhang KM. Regulated peer-to-peer energy markets for harnessing decentralized demand flexibility. Applied Energy 2023; 336: 120672-120684.
  • [17] Morey M, Gupta N, Garg MM, Kumar A. A comprehensive review of grid-connected solar photovoltaic system: Architecture, control, and ancillary services. Renewable Energy Focus 2023; 45: 307–330.
  • [18] Xu Y, Parisio A, Li Z, Dong Z, Ding Z. Optimization-based ramping reserve allocation of BESS for AGC enhancement. IEEE Transactions on Power Systems 2023; Early Access: 1–15.
  • [19] Sarfarazi S, Mohammadi S, Khastieva D, Hesamzadeh MR, Bertsch V, Bunn D. An optimal real-time pricing strategy for aggregating distributed generation and battery storage systems in energy communities: A stochastic bilevel optimization approach. International Journal of Electrical Power and Energy Systems 2023; 147: 108770-108788.
  • [20] Aranzabal I, Gomez-Cornejo J, López I, Zubiria A, Mazón J, Feijoo-Arostegui A, Gaztañaga H. Optimal management of an energy community with PV and battery-energy-storage systems. Energies 2023; 16: 789- 812.
  • [21] Nousdilis AI, Kryonidis GC, Kontis EO, Barzegkar‐Ntovom GA, Panapakidis IP, Christoforidis GC, Papagiannis GK. Impact of policy incentives on the promotion of integrated PV and battery storage systems: a techno‐ economic assessment. IET Renewable Power Generation 2020; 14: 1174–1183.
  • [22] Zhang Q, Yan J, Gao HO, You F. A systematic review on power systems planning and operations management with grid integration of transportation electrification at scale. Advances in Applied Energy 2023; 11: 100147-100170.
  • [23] Maturo A, Vallianos C, Buonomano A, Athienitis A. A novel multi-level predictive management strategy to optimize phase-change energy storage and building-integrated renewable technologies operation under dynamic tariffs. Energy Conversion and Management 2023; 291: 117220-117235.
  • [24] Asri R, Aki H, Kodaira D. Optimal operation of shared energy storage on islanded microgrid for remote communities. Sustainable Energy, Grids and Networks 2023; Early Access: 101104-101145.
  • [25] Shabani M, Wallin F, Dahlquist E, Yan J. The impact of battery operating management strategies on life cycle cost assessment in real power market for a grid-connected residential battery application. Energy 2023; 270: 126829-126843.
  • [26] Liu Y, Zhang Y, Cheng G, Lv K, Zhu J, Che Y. Grid-friendly energy prosumers based on the energy router with load switching functionality. International Journal of Electrical Power and Energy Systems 2023; 144: 108496- 108510.
  • [27] Li J, Danzer MA. Optimal charge control strategies for stationary photovoltaic battery systems. Journal of Power Sources 2014; 258: 365–373.
  • [28] Zeh A, Witzmann R. Operational strategies for battery storage systems in low-voltage distribution grids to limit the feed-in power of roof-mounted solar power systems. Energy Procedia 2014; 46: 114–123.
  • [29] Resch M, Ramadhani B, Bühler J, Sumper A. Comparison of control strategies of residential PV storage systems. 9th International Renewable Energy Storage Conference (IRES), Messe, Düsseldorf, Germany, 2015.
  • [30] Struth J, Leuthold M, Aretz A, Bost M. PV-Benefit: A critical review of the effect of grid integrated PV-storage- systems. 8th International Renewable Energy Storage Conference and Exhibition (IRES), Berlin, Germany, 2013.
  • [31] Schneider M, Boras P, Schaede H, Quurck L, Rinderknecht S. Effects of operational strategies on performance and costs of electric energy storage systems. Energy Procedia 2014; 46: 271–280.
  • [32] Ueda Y, Kurokawa K. Study on the over voltage problem and battery operation for grid connected residential PV systems. 22nd European Photovoltaic Solar Energy Conference (EU PVSEC), Milan, Italy, 2007.
  • [33] Artaş SB, Kocaman E, Bilgiç HH, Tutumlu H, Yağlı H, Yumrutaş R. Why PV panels must be recycled at the end of their economic life span? A case study on recycling together with the global situation. Process Safety and Environmental Protection 2023; 174: 63–78.
  • [34] Zhao C, Andersen PB, Træholt C, Hashemi S. Grid-connected battery energy storage system : A review on application and integration. Renewable and Sustainable Energy Reviews 2023; 182: 113400-113418.
  • [35] Libra M, Mrázek D, Tyukhov I, Severová L, Poulek V, Mach J, Šubrt T, Beránek V, Svoboda R, Sedláček J. Reduced real lifetime of PV panels – Economic consequences. Solar Energy 2023; 259: 229–234.
  • [36] Alijanov DD, Topvoldiyev NA. Physical and technical fundamentals of photoelectric solar panels energy. Theoretical & Applied Science 2022; 108 (4): 501-505.
  • [37] Terkes M, Demirci A, Gokalp E. An evaluation of optimal sized second-life electric vehicle batteries improving technical, economic, and environmental effects of hybrid power systems. Energy Conversion and Management 2023; 291: 117272-117286.
  • [38] Terkes M, Tercan SM, Demirci A, Gokalp E. An evaluation of renewable fraction using energy storage for electric vehicle charging station. 4th International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA), Ankara, Türkiye, 2022.
  • [39] Tercan SM, Demirci A, Gokalp E, Cali U. Maximizing self-consumption rates and power quality towards two- stage evaluation for solar energy and shared energy storage empowered microgrids. Journal of Energy Storage 2022; 51: 104561-104573.
  • [40] Keskin B, Şora Günal E, Urazel B, Keskin K. Elektrikli araç bataryalarının şarj durum tahmini için bir model. Nicel Bilimler Dergisi 2022; 4: 161–175.
  • [41] Wang S, Fan Y, Stroe D, Fernandez C, Yu C, Cao W, Chen Z. Lithium-ion battery characteristics and applications. Battery System Modeling 2021; 1: 1-46.
  • [42] Mazzeo D, Leva S, Matera N, Kontoleon KJ, Saboor S, Pirouz B, Elkadeem MR. A user-friendly and accurate machine learning tool for the evaluation of the worldwide yearly photovoltaic electricity production. Energy Reports 2023; 9: 6267–6294.
  • [43] NASA. Prediction of worldwide energy resource (POWER) database. Access: June 2023. https://power.larc.nasa.gov.
  • [44] Weniger J, Tijaden T, Quaschning V. Sizing and grid integration of residential PV battery systems. 8th International Renewable Energy Storage Conference (IRES), Berlin, Germany, 2013.
There are 44 citations in total.

Details

Primary Language English
Subjects Electrical Energy Storage, Electrical Energy Transmission, Networks and Systems, Photovoltaic Power Systems
Journal Section Research Article
Authors

Fatih Oğuzalp 0009-0000-2127-0913

Musa Terkes 0000-0002-4411-411X

Alpaslan Demirci 0000-0002-1038-7224

Publication Date September 22, 2023
Submission Date July 3, 2023
Acceptance Date August 11, 2023
Published in Issue Year 2023 Volume: 8 Issue: 3

Cite

APA Oğuzalp, F., Terkes, M., & Demirci, A. (2023). Evaluation of technical and financial benefits of battery energy storage system control strategies. International Journal of Energy Studies, 8(3), 513-534. https://doi.org/10.58559/ijes.1321550
AMA Oğuzalp F, Terkes M, Demirci A. Evaluation of technical and financial benefits of battery energy storage system control strategies. Int J Energy Studies. September 2023;8(3):513-534. doi:10.58559/ijes.1321550
Chicago Oğuzalp, Fatih, Musa Terkes, and Alpaslan Demirci. “Evaluation of Technical and Financial Benefits of Battery Energy Storage System Control Strategies”. International Journal of Energy Studies 8, no. 3 (September 2023): 513-34. https://doi.org/10.58559/ijes.1321550.
EndNote Oğuzalp F, Terkes M, Demirci A (September 1, 2023) Evaluation of technical and financial benefits of battery energy storage system control strategies. International Journal of Energy Studies 8 3 513–534.
IEEE F. Oğuzalp, M. Terkes, and A. Demirci, “Evaluation of technical and financial benefits of battery energy storage system control strategies”, Int J Energy Studies, vol. 8, no. 3, pp. 513–534, 2023, doi: 10.58559/ijes.1321550.
ISNAD Oğuzalp, Fatih et al. “Evaluation of Technical and Financial Benefits of Battery Energy Storage System Control Strategies”. International Journal of Energy Studies 8/3 (September 2023), 513-534. https://doi.org/10.58559/ijes.1321550.
JAMA Oğuzalp F, Terkes M, Demirci A. Evaluation of technical and financial benefits of battery energy storage system control strategies. Int J Energy Studies. 2023;8:513–534.
MLA Oğuzalp, Fatih et al. “Evaluation of Technical and Financial Benefits of Battery Energy Storage System Control Strategies”. International Journal of Energy Studies, vol. 8, no. 3, 2023, pp. 513-34, doi:10.58559/ijes.1321550.
Vancouver Oğuzalp F, Terkes M, Demirci A. Evaluation of technical and financial benefits of battery energy storage system control strategies. Int J Energy Studies. 2023;8(3):513-34.