Multi-objective particle swarm optimization algorithm based on multi-strategy improvement for hybrid energy storage optimization configuration
In order to fully leverage the advantages of hybrid energy storage systems in mitigating voltage fluctuations, reducing curtailment rates of wind and solar power, minimizing active power losses, and enhancing power quality within distributed generation systems, while effectively balancing the econom...
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| Vydané v: | Renewable energy Ročník 223; s. 120086 |
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| Hlavní autori: | , , , , , , |
| Médium: | Journal Article |
| Jazyk: | English |
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Elsevier Ltd
01.03.2024
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| ISSN: | 0960-1481, 1879-0682 |
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| Abstract | In order to fully leverage the advantages of hybrid energy storage systems in mitigating voltage fluctuations, reducing curtailment rates of wind and solar power, minimizing active power losses, and enhancing power quality within distributed generation systems, while effectively balancing the economic and security aspects of the system, this paper establishes a multi-objective hybrid energy storage optimization configuration model that comprehensively considers the lifecycle economic costs, node voltage deviations, and system active power losses. To address the limitations of single-objective solution algorithms and the lack of diversity and premature convergence in multi-objective optimization processes, a multi-objective particle swarm optimization by multi-strategy improvements (CMOPSO-MSI) is proposed to solve the model. By introducing adaptive grid crowding distance and roulette wheel selection strategies to dynamically update the Pareto solution set, population uniformity and diversity are ensured. An improved dynamic nonlinear weighting strategy is introduced to enhance the algorithm's global search capability and convergence performance. A Gaussian mutation strategy is incorporated into the iteration process to enhance the uniformity of non-dominated solutions and particle search capabilities The aim is to achieve an optimal balance between the configuration cost and stability of hybrid energy storage systems. A simulation analysis under multiple cases is performed, taking an IEEE 33-node power distribution system as an example, with introducing photovoltaic and wind energy sources. The results demonstrate that the proposed algorithm achieves better Pareto frontiers and convergence performance compared to conventional multi-objective particle swarm optimization algorithms MOPSO, and classical multi-objective optimization algorithm NSGA-II, validating the effectiveness and accuracy of the proposed model and algorithm strategies in solving the hybrid energy storage optimization configuration problems. The approach concurrently considers system economics and grid stability while improving power quality. |
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| AbstractList | In order to fully leverage the advantages of hybrid energy storage systems in mitigating voltage fluctuations, reducing curtailment rates of wind and solar power, minimizing active power losses, and enhancing power quality within distributed generation systems, while effectively balancing the economic and security aspects of the system, this paper establishes a multi-objective hybrid energy storage optimization configuration model that comprehensively considers the lifecycle economic costs, node voltage deviations, and system active power losses. To address the limitations of single-objective solution algorithms and the lack of diversity and premature convergence in multi-objective optimization processes, a multi-objective particle swarm optimization by multi-strategy improvements (CMOPSO-MSI) is proposed to solve the model. By introducing adaptive grid crowding distance and roulette wheel selection strategies to dynamically update the Pareto solution set, population uniformity and diversity are ensured. An improved dynamic nonlinear weighting strategy is introduced to enhance the algorithm's global search capability and convergence performance. A Gaussian mutation strategy is incorporated into the iteration process to enhance the uniformity of non-dominated solutions and particle search capabilities The aim is to achieve an optimal balance between the configuration cost and stability of hybrid energy storage systems. A simulation analysis under multiple cases is performed, taking an IEEE 33-node power distribution system as an example, with introducing photovoltaic and wind energy sources. The results demonstrate that the proposed algorithm achieves better Pareto frontiers and convergence performance compared to conventional multi-objective particle swarm optimization algorithms MOPSO, and classical multi-objective optimization algorithm NSGA-II, validating the effectiveness and accuracy of the proposed model and algorithm strategies in solving the hybrid energy storage optimization configuration problems. The approach concurrently considers system economics and grid stability while improving power quality. |
| ArticleNumber | 120086 |
| Author | Xu, Xian-Feng Ma, Wen-Hao Li, Zhi-Han Wang, Ke Wu, Chun-Ling Huang, Xin-Rong Ma, Zhi-Xiong |
| Author_xml | – sequence: 1 givenname: Xian-Feng surname: Xu fullname: Xu, Xian-Feng email: xxf_chd@163.com – sequence: 2 givenname: Ke surname: Wang fullname: Wang, Ke – sequence: 3 givenname: Wen-Hao surname: Ma fullname: Ma, Wen-Hao – sequence: 4 givenname: Chun-Ling orcidid: 0009-0000-4708-3358 surname: Wu fullname: Wu, Chun-Ling – sequence: 5 givenname: Xin-Rong surname: Huang fullname: Huang, Xin-Rong – sequence: 6 givenname: Zhi-Xiong surname: Ma fullname: Ma, Zhi-Xiong – sequence: 7 givenname: Zhi-Han surname: Li fullname: Li, Zhi-Han |
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| Cites_doi | 10.1016/j.conengprac.2022.105122 10.1016/j.energy.2018.08.152 10.1016/j.rser.2022.112213 10.1016/j.apenergy.2018.09.146 10.1109/TII.2019.2957297 10.1016/j.energy.2022.123617 10.1109/TPEL.2021.3070393 10.1016/j.gee.2022.02.002 10.1016/j.energy.2023.127142 10.1109/TPEL.2018.2873765 10.1016/j.apenergy.2023.120817 10.1109/TIE.2022.3144590 10.1016/j.applthermaleng.2020.115834 10.1109/TVT.2017.2762368 10.1109/TEVC.2004.826067 10.1002/int.20128 10.1016/j.rser.2023.113247 10.1021/acs.chemrev.2c00289 10.1016/j.enconman.2020.113295 10.1016/j.apenergy.2022.118887 10.1109/TVT.2019.2891273 10.1109/TSG.2020.3023712 10.1016/j.egyr.2022.05.049 10.1109/TIA.2022.3203663 10.1016/j.ins.2022.07.180 |
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| References | Kebede, Kalogiannis, Van Mierlo (bib4) 2022; 159 Huang, Suganthan, Liang (bib38) 2006; 2l Mesbahi, Rizoug, Bartholomeüs (bib10) 2017; 2 Wang, Li, Chen (bib17) 2022; 122 Rahman, Oni, Gemechu (bib2) 2020; 223 Cao, Wu, Zhang, Li (bib27) 2023; 144 Li, Wang, Wang (bib12) 2021; 36 Parwal, Fregelius, Temiz (bib18) 2018; 231 Xu, Liu, Lin (bib11) 2018; 163 Cao, Wu, Zhang, Li (bib22) 2022; 142 Zheng, Wang, Liu (bib24) 2021; 8 Roy, Liao, He (bib20) 2022; 59 Yu, Fang, Xiao (bib1) 2023; 178 Li, Yao, Yang (bib19) 2022; 69 Lyu, Huang, Li (bib7) 2019; 68 Zhang, Wang, Manandhar (bib15) 2018; 34 Luo, Chen, Kadavil (bib29) 2021; 12 İskeceli, Kayakutlu, Daim (bib5) 2020; 63 Wang, Wang, Li (bib8) 2020; 4 Cano, Arévalo, Benavides (bib16) 2022; 549 Zhang, Hu, Wang, Sun, Deng, Dorrell (bib28) 2018; 67 Gugulothu, Nagu, Deepak Pullaguram (bib23) 2023; 67 Filgueira da Silva, Eckert, Corrêa, Leonardo Silva, Silva, Giuseppe Dedini (bib31) 2022; 324 Zhao, Xuan, Zhao, Li (bib33) 2020; 32 Kennedy, Eberhart (bib36) 1995; vol. 4 Roy, Karayaka, He (bib21) 2023; 72 Le, Nguyen, Bui, Ngo (bib30) 2023; 336 Zhu, Jiang, Ali (bib3) 2022; 122 Ahmadi, Ceylan, Ozdemir, Fotuhi-Firuzabad (bib35) 2022; 314 Wang, Zhang, Lu, Liu, Song, Sun, Liu, Che (bib25) 2022; 55 Lu, Wang (bib32) 2020; 16 Li, Yang, Huang (bib26) 2023; 273 Sellami, Farooq, Rafik (bib37) 2022; 8 Olabi, Abbas, Al Makky (bib6) 2022; 248 Gao, Luo, Liu (bib9) 2022; 8 Ren, Wang, Li, Zhang (bib34) 2023; 33 Coello, Gregorio Toscano, Salazar Lechuga (bib39) 2004; 8 Wang, Song, Ma (bib13) 2020; 180 Durganjali, Chawla, Raghavan (bib14) 2022; 56 Wang, Gao, Gong (bib40) 2022; 611 Zhao (10.1016/j.renene.2024.120086_bib33) 2020; 32 Li (10.1016/j.renene.2024.120086_bib19) 2022; 69 Cao (10.1016/j.renene.2024.120086_bib22) 2022; 142 Xu (10.1016/j.renene.2024.120086_bib11) 2018; 163 Ren (10.1016/j.renene.2024.120086_bib34) 2023; 33 Kebede (10.1016/j.renene.2024.120086_bib4) 2022; 159 Roy (10.1016/j.renene.2024.120086_bib20) 2022; 59 Ahmadi (10.1016/j.renene.2024.120086_bib35) 2022; 314 Zhang (10.1016/j.renene.2024.120086_bib15) 2018; 34 İskeceli (10.1016/j.renene.2024.120086_bib5) 2020; 63 Cao (10.1016/j.renene.2024.120086_bib27) 2023; 144 Wang (10.1016/j.renene.2024.120086_bib40) 2022; 611 Yu (10.1016/j.renene.2024.120086_bib1) 2023; 178 Filgueira da Silva (10.1016/j.renene.2024.120086_bib31) 2022; 324 Mesbahi (10.1016/j.renene.2024.120086_bib10) 2017; 2 Gugulothu (10.1016/j.renene.2024.120086_bib23) 2023; 67 Zhu (10.1016/j.renene.2024.120086_bib3) 2022; 122 Luo (10.1016/j.renene.2024.120086_bib29) 2021; 12 Rahman (10.1016/j.renene.2024.120086_bib2) 2020; 223 Lyu (10.1016/j.renene.2024.120086_bib7) 2019; 68 Sellami (10.1016/j.renene.2024.120086_bib37) 2022; 8 Wang (10.1016/j.renene.2024.120086_bib8) 2020; 4 Roy (10.1016/j.renene.2024.120086_bib21) 2023; 72 Li (10.1016/j.renene.2024.120086_bib26) 2023; 273 Le (10.1016/j.renene.2024.120086_bib30) 2023; 336 Wang (10.1016/j.renene.2024.120086_bib17) 2022; 122 Kennedy (10.1016/j.renene.2024.120086_bib36) 1995; vol. 4 Olabi (10.1016/j.renene.2024.120086_bib6) 2022; 248 Huang (10.1016/j.renene.2024.120086_bib38) 2006; 2l Zhang (10.1016/j.renene.2024.120086_bib28) 2018; 67 Wang (10.1016/j.renene.2024.120086_bib25) 2022; 55 Li (10.1016/j.renene.2024.120086_bib12) 2021; 36 Lu (10.1016/j.renene.2024.120086_bib32) 2020; 16 Gao (10.1016/j.renene.2024.120086_bib9) 2022; 8 Coello (10.1016/j.renene.2024.120086_bib39) 2004; 8 Wang (10.1016/j.renene.2024.120086_bib13) 2020; 180 Parwal (10.1016/j.renene.2024.120086_bib18) 2018; 231 Cano (10.1016/j.renene.2024.120086_bib16) 2022; 549 Durganjali (10.1016/j.renene.2024.120086_bib14) 2022; 56 Zheng (10.1016/j.renene.2024.120086_bib24) 2021; 8 |
| References_xml | – volume: 72 year: 2023 ident: bib21 article-title: Cost investigation of battery-supercapacitor hybrid energy storage system for grid-connected hourly dispatching wave energy converter power publication-title: J. Journal of Energy Storage. – volume: 336 year: 2023 ident: bib30 article-title: Optimal sizing of renewable energy storage: a techno-economic analysis of hydrogen, battery and hybrid systems considering degradation and seasonal storage publication-title: J. Applied Energy. – volume: 34 start-page: 4025 year: 2018 end-page: 4030 ident: bib15 article-title: A model predictive current controlled bidirectional three-level DC/DC converter for hybrid energy storage system in DC microgrids publication-title: J. IEEE Transactions on Power Electronics. – volume: 324 year: 2022 ident: bib31 article-title: Dual HESS electric vehicle powertrain design and fuzzy control based on multi-objective optimization to increase driving range and battery life cycle publication-title: J. Applied Energy – volume: 611 start-page: 649 year: 2022 end-page: 659 ident: bib40 article-title: A new two-stage based evolutionary algorithm for solving multi-objective optimization problems publication-title: J. Inf. Sci. – volume: 2l start-page: 209 year: 2006 end-page: 226 ident: bib38 article-title: Comprehensive learning particle swarm optimizer for solving multi-objective optimization problems publication-title: J. International Journal of Intelligent Systems – volume: 56 year: 2022 ident: bib14 article-title: Design, development, and techno-economic analysis of extreme fast charging topologies using Super Capacitor and Li-Ion Battery combinations publication-title: J. Journal of Energy Storage – volume: 33 year: 2023 ident: bib34 article-title: Power distribution optimization of a fully active hybrid energy storage system configuration for vehicular applications publication-title: J. Journal of Industrial Information Integration – volume: 2 start-page: 99 year: 2017 end-page: 110 ident: bib10 article-title: Optimal energy management for a li-ion battery/supercapacitor hybrid energy storage system based on a particle swarm optimization incorporating Nelder–Mead simplex approach publication-title: J. IEEE Transactions on Intelligent Vehicles. – volume: 122 year: 2022 ident: bib17 article-title: An energy management strategy for hybrid energy storage systems coordinate with state of thermal and power publication-title: J. Control Engineering Practice. – volume: 314 year: 2022 ident: bib35 article-title: A multi-objective framework for distributed energy resources planning and storage management publication-title: J. Applied Energy. – volume: 549 year: 2022 ident: bib16 article-title: Comparative analysis of HESS (battery/supercapacitor) for power smoothing of PV/HKT, simulation and experimental analysis publication-title: J. Journal of Power Sources – volume: 67 year: 2023 ident: bib23 article-title: Optimal coordinated energy management strategy for standalone solar photovoltaic system with hybrid energy storage publication-title: J. Journal of Energy Storage. – volume: 36 start-page: 11421 year: 2021 end-page: 11430 ident: bib12 article-title: Sizing optimization and energy management strategy for hybrid energy storage system using multiobjective optimization and random forests publication-title: J. IEEE Transactions on Power Electronics. – volume: 163 start-page: 585 year: 2018 end-page: 603 ident: bib11 article-title: A multi-objective optimization model of hybrid energy storage system for non-grid-connected wind power: a case study in China publication-title: J. Energy – volume: 180 year: 2020 ident: bib13 article-title: Research on capacity planning and optimization of regional integrated energy system based on hybrid energy storage system publication-title: J. Applied Thermal Engineering – volume: 273 year: 2023 ident: bib26 article-title: Optimal planning of Electricity–Hydrogen hybrid energy storage system considering demand response in active distribution network publication-title: J. Energy – volume: 8 start-page: 972 year: 2022 end-page: 988 ident: bib9 article-title: A survey of hybrid energy devices based on supercapacitors publication-title: J. Green Energy & Environment. – volume: 69 start-page: 13394 year: 2022 end-page: 13404 ident: bib19 article-title: Variable voltage control of a hybrid energy storage system for firm frequency response in the UK, J. IEEE Transactions on Optimal sizing of renewable energy storage: a techno-economic analysis of hydrogen, battery and hybrid systems considering degradation and seasonal storage,Optimal sizing of renewable energy storage: a techno-economic analysis of hydrogen, battery and hybrid systems considering degradation and seasonal storage publication-title: Industrial Electronics. – volume: 16 start-page: 3407 year: 2020 end-page: 3416 ident: bib32 article-title: Optimal sizing and energy management for cost-effective PEV hybrid energy storage systems publication-title: J. IEEE Transactions on Industrial Informatics. – volume: 8 start-page: 1739 year: 2021 end-page: 1754 ident: bib24 article-title: A hybrid energy storage system for an electric vehicle and its effectiveness validation publication-title: J. International Journal of Precision Engineering and Manufacturing-Green – volume: 32 year: 2020 ident: bib33 article-title: Elman neural network using ant colony optimization algorithm for estimating of state of charge of lithium-ion battery publication-title: J. Journal of Energy Storage. – volume: 4 year: 2020 ident: bib8 article-title: A review of key issues for control and management in battery and ultra-capacitor hybrid energy storage systems publication-title: J. ETransportation. – volume: 231 start-page: 399 year: 2018 end-page: 411 ident: bib18 article-title: Energy management for a grid-connected wave energy park through a hybrid energy storage system publication-title: J. Applied Energy. – volume: 59 start-page: 1118 year: 2022 end-page: 1128 ident: bib20 article-title: Economic dispatch for grid-connected wind power with battery-supercapacitor hybrid energy storage system publication-title: J. IEEE Transactions on Industry Applications – volume: 159 year: 2022 ident: bib4 article-title: A comprehensive review of stationary energy storage devices for large scale renewable energy sources grid integration publication-title: J. Renewable and Sustainable Energy Reviews. – volume: 223 year: 2020 ident: bib2 article-title: Assessment of energy storage technologies: a review publication-title: J. Energy Conversion and Management. – volume: 67 start-page: 1027 year: 2018 end-page: 1035 ident: bib28 article-title: Multi objective optimal sizing of hybrid energy storage system for electric vehicles publication-title: J. IEEE Transactions on Vehicular Technology – volume: 178 year: 2023 ident: bib1 article-title: Drivers of renewable energy penetration and its role in power sector's deep decarbonization towards carbon peak publication-title: J. Renewable and Sustainable Energy Reviews. – volume: 122 start-page: 16610 year: 2022 end-page: 16751 ident: bib3 article-title: Rechargeable batteries for grid scale energy storage publication-title: J. Chemical Reviews. – volume: 55 year: 2022 ident: bib25 article-title: Research on planning optimization of integrated energy system based on the differential features of hybrid energy storage system publication-title: J. Journal of Energy Storage. – volume: 8 start-page: 256 year: 2004 end-page: 279 ident: bib39 article-title: Handling multiple objectives with particle swarm optimization publication-title: J. IEEE Transactions on evolutionary computation – volume: 248 year: 2022 ident: bib6 article-title: Supercapacitors as next generation energy storage devices: properties and applications publication-title: J. Energy – volume: 142 year: 2022 ident: bib22 article-title: Optimal sizing of hybrid energy storage system considering power smoothing and transient frequency regulation publication-title: J. International Journal of Electrical Power & Energy Systems – volume: 144 year: 2023 ident: bib27 article-title: Multi-objective optimal siting and sizing of BESS considering transient frequency deviation and post-disturbance line overload publication-title: J. International Journal of Electrical Power & Energy Systems – volume: 63 year: 2020 ident: bib5 article-title: Optimization of battery and wind technologies: case of power deviation penalties publication-title: J. Technol. Soc. – volume: 8 start-page: 6960 year: 2022 end-page: 6975 ident: bib37 article-title: An improved MOPSO algorithm for optimal sizing & placement of distributed generation: a case study of the Tunisian offshore distribution network (ASHTART) publication-title: J. Energy Reports – volume: 68 start-page: 4447 year: 2019 end-page: 4457 ident: bib7 article-title: Distributed control for state-of-energy balancing of supercapacitor modules in light rail vehicles publication-title: J. IEEE Transactions on Vehicular Technology – volume: 12 start-page: 1651 year: 2021 end-page: 1662 ident: bib29 article-title: A novel framework for optimizing ramping capability of hybrid energy storage systems publication-title: J. IEEE Transactions on Smart Grid. – volume: vol. 4 start-page: 1942 year: 1995 end-page: 1948 ident: bib36 article-title: Particle swarm optimization publication-title: J. Proceedings of ICNN'95-international Conference on Neural Networks – volume: 122 year: 2022 ident: 10.1016/j.renene.2024.120086_bib17 article-title: An energy management strategy for hybrid energy storage systems coordinate with state of thermal and power publication-title: J. Control Engineering Practice. doi: 10.1016/j.conengprac.2022.105122 – volume: 32 year: 2020 ident: 10.1016/j.renene.2024.120086_bib33 article-title: Elman neural network using ant colony optimization algorithm for estimating of state of charge of lithium-ion battery publication-title: J. Journal of Energy Storage. – volume: 72 year: 2023 ident: 10.1016/j.renene.2024.120086_bib21 article-title: Cost investigation of battery-supercapacitor hybrid energy storage system for grid-connected hourly dispatching wave energy converter power publication-title: J. Journal of Energy Storage. – volume: 4 year: 2020 ident: 10.1016/j.renene.2024.120086_bib8 article-title: A review of key issues for control and management in battery and ultra-capacitor hybrid energy storage systems publication-title: J. ETransportation. – volume: 163 start-page: 585 year: 2018 ident: 10.1016/j.renene.2024.120086_bib11 article-title: A multi-objective optimization model of hybrid energy storage system for non-grid-connected wind power: a case study in China publication-title: J. Energy doi: 10.1016/j.energy.2018.08.152 – volume: 144 year: 2023 ident: 10.1016/j.renene.2024.120086_bib27 article-title: Multi-objective optimal siting and sizing of BESS considering transient frequency deviation and post-disturbance line overload publication-title: J. International Journal of Electrical Power & Energy Systems – volume: 159 year: 2022 ident: 10.1016/j.renene.2024.120086_bib4 article-title: A comprehensive review of stationary energy storage devices for large scale renewable energy sources grid integration publication-title: J. Renewable and Sustainable Energy Reviews. doi: 10.1016/j.rser.2022.112213 – volume: vol. 4 start-page: 1942 year: 1995 ident: 10.1016/j.renene.2024.120086_bib36 article-title: Particle swarm optimization – volume: 56 year: 2022 ident: 10.1016/j.renene.2024.120086_bib14 article-title: Design, development, and techno-economic analysis of extreme fast charging topologies using Super Capacitor and Li-Ion Battery combinations publication-title: J. Journal of Energy Storage – volume: 231 start-page: 399 year: 2018 ident: 10.1016/j.renene.2024.120086_bib18 article-title: Energy management for a grid-connected wave energy park through a hybrid energy storage system publication-title: J. Applied Energy. doi: 10.1016/j.apenergy.2018.09.146 – volume: 55 issue: A year: 2022 ident: 10.1016/j.renene.2024.120086_bib25 article-title: Research on planning optimization of integrated energy system based on the differential features of hybrid energy storage system publication-title: J. Journal of Energy Storage. – volume: 8 start-page: 1739 year: 2021 ident: 10.1016/j.renene.2024.120086_bib24 article-title: A hybrid energy storage system for an electric vehicle and its effectiveness validation publication-title: J. International Journal of Precision Engineering and Manufacturing-Green – volume: 16 start-page: 3407 year: 2020 ident: 10.1016/j.renene.2024.120086_bib32 article-title: Optimal sizing and energy management for cost-effective PEV hybrid energy storage systems publication-title: J. IEEE Transactions on Industrial Informatics. doi: 10.1109/TII.2019.2957297 – volume: 63 year: 2020 ident: 10.1016/j.renene.2024.120086_bib5 article-title: Optimization of battery and wind technologies: case of power deviation penalties publication-title: J. Technol. Soc. – volume: 248 year: 2022 ident: 10.1016/j.renene.2024.120086_bib6 article-title: Supercapacitors as next generation energy storage devices: properties and applications publication-title: J. Energy doi: 10.1016/j.energy.2022.123617 – volume: 36 start-page: 11421 issue: 10 year: 2021 ident: 10.1016/j.renene.2024.120086_bib12 article-title: Sizing optimization and energy management strategy for hybrid energy storage system using multiobjective optimization and random forests publication-title: J. IEEE Transactions on Power Electronics. doi: 10.1109/TPEL.2021.3070393 – volume: 8 start-page: 972 issue: 4 year: 2022 ident: 10.1016/j.renene.2024.120086_bib9 article-title: A survey of hybrid energy devices based on supercapacitors publication-title: J. Green Energy & Environment. doi: 10.1016/j.gee.2022.02.002 – volume: 142 issue: A year: 2022 ident: 10.1016/j.renene.2024.120086_bib22 article-title: Optimal sizing of hybrid energy storage system considering power smoothing and transient frequency regulation publication-title: J. International Journal of Electrical Power & Energy Systems – volume: 273 year: 2023 ident: 10.1016/j.renene.2024.120086_bib26 article-title: Optimal planning of Electricity–Hydrogen hybrid energy storage system considering demand response in active distribution network publication-title: J. Energy doi: 10.1016/j.energy.2023.127142 – volume: 33 year: 2023 ident: 10.1016/j.renene.2024.120086_bib34 article-title: Power distribution optimization of a fully active hybrid energy storage system configuration for vehicular applications publication-title: J. Journal of Industrial Information Integration – volume: 34 start-page: 4025 issue: 5 year: 2018 ident: 10.1016/j.renene.2024.120086_bib15 article-title: A model predictive current controlled bidirectional three-level DC/DC converter for hybrid energy storage system in DC microgrids publication-title: J. IEEE Transactions on Power Electronics. doi: 10.1109/TPEL.2018.2873765 – volume: 336 year: 2023 ident: 10.1016/j.renene.2024.120086_bib30 article-title: Optimal sizing of renewable energy storage: a techno-economic analysis of hydrogen, battery and hybrid systems considering degradation and seasonal storage publication-title: J. Applied Energy. doi: 10.1016/j.apenergy.2023.120817 – volume: 2 start-page: 99 issue: 2 year: 2017 ident: 10.1016/j.renene.2024.120086_bib10 article-title: Optimal energy management for a li-ion battery/supercapacitor hybrid energy storage system based on a particle swarm optimization incorporating Nelder–Mead simplex approach publication-title: J. IEEE Transactions on Intelligent Vehicles. – volume: 69 start-page: 13394 issue: 12 year: 2022 ident: 10.1016/j.renene.2024.120086_bib19 publication-title: Industrial Electronics. doi: 10.1109/TIE.2022.3144590 – volume: 549 year: 2022 ident: 10.1016/j.renene.2024.120086_bib16 article-title: Comparative analysis of HESS (battery/supercapacitor) for power smoothing of PV/HKT, simulation and experimental analysis publication-title: J. Journal of Power Sources – volume: 180 year: 2020 ident: 10.1016/j.renene.2024.120086_bib13 article-title: Research on capacity planning and optimization of regional integrated energy system based on hybrid energy storage system publication-title: J. Applied Thermal Engineering doi: 10.1016/j.applthermaleng.2020.115834 – volume: 67 year: 2023 ident: 10.1016/j.renene.2024.120086_bib23 article-title: Optimal coordinated energy management strategy for standalone solar photovoltaic system with hybrid energy storage publication-title: J. Journal of Energy Storage. – volume: 67 start-page: 1027 issue: 2 year: 2018 ident: 10.1016/j.renene.2024.120086_bib28 article-title: Multi objective optimal sizing of hybrid energy storage system for electric vehicles publication-title: J. IEEE Transactions on Vehicular Technology doi: 10.1109/TVT.2017.2762368 – volume: 8 start-page: 256 issue: 3 year: 2004 ident: 10.1016/j.renene.2024.120086_bib39 article-title: Handling multiple objectives with particle swarm optimization publication-title: J. IEEE Transactions on evolutionary computation doi: 10.1109/TEVC.2004.826067 – volume: 2l start-page: 209 issue: 2 year: 2006 ident: 10.1016/j.renene.2024.120086_bib38 article-title: Comprehensive learning particle swarm optimizer for solving multi-objective optimization problems publication-title: J. International Journal of Intelligent Systems doi: 10.1002/int.20128 – volume: 178 year: 2023 ident: 10.1016/j.renene.2024.120086_bib1 article-title: Drivers of renewable energy penetration and its role in power sector's deep decarbonization towards carbon peak publication-title: J. Renewable and Sustainable Energy Reviews. doi: 10.1016/j.rser.2023.113247 – volume: 122 start-page: 16610 issue: 22 year: 2022 ident: 10.1016/j.renene.2024.120086_bib3 article-title: Rechargeable batteries for grid scale energy storage publication-title: J. Chemical Reviews. doi: 10.1021/acs.chemrev.2c00289 – volume: 223 year: 2020 ident: 10.1016/j.renene.2024.120086_bib2 article-title: Assessment of energy storage technologies: a review publication-title: J. Energy Conversion and Management. doi: 10.1016/j.enconman.2020.113295 – volume: 314 year: 2022 ident: 10.1016/j.renene.2024.120086_bib35 article-title: A multi-objective framework for distributed energy resources planning and storage management publication-title: J. Applied Energy. doi: 10.1016/j.apenergy.2022.118887 – volume: 68 start-page: 4447 issue: 5 year: 2019 ident: 10.1016/j.renene.2024.120086_bib7 article-title: Distributed control for state-of-energy balancing of supercapacitor modules in light rail vehicles publication-title: J. IEEE Transactions on Vehicular Technology doi: 10.1109/TVT.2019.2891273 – volume: 12 start-page: 1651 issue: 2 year: 2021 ident: 10.1016/j.renene.2024.120086_bib29 article-title: A novel framework for optimizing ramping capability of hybrid energy storage systems publication-title: J. IEEE Transactions on Smart Grid. doi: 10.1109/TSG.2020.3023712 – volume: 8 start-page: 6960 year: 2022 ident: 10.1016/j.renene.2024.120086_bib37 article-title: An improved MOPSO algorithm for optimal sizing & placement of distributed generation: a case study of the Tunisian offshore distribution network (ASHTART) publication-title: J. Energy Reports doi: 10.1016/j.egyr.2022.05.049 – volume: 59 start-page: 1118 issue: 1 year: 2022 ident: 10.1016/j.renene.2024.120086_bib20 article-title: Economic dispatch for grid-connected wind power with battery-supercapacitor hybrid energy storage system publication-title: J. IEEE Transactions on Industry Applications doi: 10.1109/TIA.2022.3203663 – volume: 611 start-page: 649 year: 2022 ident: 10.1016/j.renene.2024.120086_bib40 article-title: A new two-stage based evolutionary algorithm for solving multi-objective optimization problems publication-title: J. Inf. Sci. doi: 10.1016/j.ins.2022.07.180 – volume: 324 year: 2022 ident: 10.1016/j.renene.2024.120086_bib31 article-title: Dual HESS electric vehicle powertrain design and fuzzy control based on multi-objective optimization to increase driving range and battery life cycle publication-title: J. Applied Energy |
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