Optimized operation strategy for energy storage charging piles based on multi-strategy hybrid improved Harris hawk algorithm
In response to the issues arising from the disordered charging and discharging behavior of electric vehicle energy storage Charging piles, as well as the dynamic characteristics of electric vehicles, we have developed an ordered charging and discharging optimization scheduling strategy for energy st...
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| Vydané v: | Heliyon Ročník 10; číslo 10; s. e31525 |
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| Jazyk: | English |
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England
Elsevier Ltd
30.05.2024
Elsevier |
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| ISSN: | 2405-8440, 2405-8440 |
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| Abstract | In response to the issues arising from the disordered charging and discharging behavior of electric vehicle energy storage Charging piles, as well as the dynamic characteristics of electric vehicles, we have developed an ordered charging and discharging optimization scheduling strategy for energy storage Charging piles considering time-of-use electricity prices. The decision variables include the charging and discharging prices, states, and power of electric vehicles. We have constructed a mathematical model for electric vehicle charging and discharging scheduling with the optimization objectives of minimizing the charging and discharging costs of electric vehicles and maximizing the revenue of Charging piles. To address the challenges of multivariable, multi-objective, and high-dimensional optimization in the proposed model, we propose a Multi-strategy Hybrid Improved Harris Hawk Algorithm (MHIHHO). In addition, to validate the optimization performance of the proposed algorithm, CEC benchmark test functions are employed to assess the algorithm's optimization accuracy, convergence speed, stability, and significance. Finally, optimization-based scheduling simulations are performed considering power constraints for energy storage charging and discharging at different time intervals, as well as discharge loads. The proposed method reduces the peak-to-valley ratio of typical loads by 52.8 % compared to the original algorithm, effectively allocates charging piles to store electric power resources during off-peak periods, reduces user charging costs by 16.83 %–26.3 %, and increases Charging pile revenue. |
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| AbstractList | In response to the issues arising from the disordered charging and discharging behavior of electric vehicle energy storage Charging piles, as well as the dynamic characteristics of electric vehicles, we have developed an ordered charging and discharging optimization scheduling strategy for energy storage Charging piles considering time-of-use electricity prices. The decision variables include the charging and discharging prices, states, and power of electric vehicles. We have constructed a mathematical model for electric vehicle charging and discharging scheduling with the optimization objectives of minimizing the charging and discharging costs of electric vehicles and maximizing the revenue of Charging piles. To address the challenges of multivariable, multi-objective, and high-dimensional optimization in the proposed model, we propose a Multi-strategy Hybrid Improved Harris Hawk Algorithm (MHIHHO). In addition, to validate the optimization performance of the proposed algorithm, CEC benchmark test functions are employed to assess the algorithm's optimization accuracy, convergence speed, stability, and significance. Finally, optimization-based scheduling simulations are performed considering power constraints for energy storage charging and discharging at different time intervals, as well as discharge loads. The proposed method reduces the peak-to-valley ratio of typical loads by 52.8 % compared to the original algorithm, effectively allocates charging piles to store electric power resources during off-peak periods, reduces user charging costs by 16.83 %–26.3 %, and increases Charging pile revenue. In response to the issues arising from the disordered charging and discharging behavior of electric vehicle energy storage Charging piles, as well as the dynamic characteristics of electric vehicles, we have developed an ordered charging and discharging optimization scheduling strategy for energy storage Charging piles considering time-of-use electricity prices. The decision variables include the charging and discharging prices, states, and power of electric vehicles. We have constructed a mathematical model for electric vehicle charging and discharging scheduling with the optimization objectives of minimizing the charging and discharging costs of electric vehicles and maximizing the revenue of Charging piles. To address the challenges of multivariable, multi-objective, and high-dimensional optimization in the proposed model, we propose a Multi-strategy Hybrid Improved Harris Hawk Algorithm (MHIHHO). In addition, to validate the optimization performance of the proposed algorithm, CEC benchmark test functions are employed to assess the algorithm's optimization accuracy, convergence speed, stability, and significance. Finally, optimization-based scheduling simulations are performed considering power constraints for energy storage charging and discharging at different time intervals, as well as discharge loads. The proposed method reduces the peak-to-valley ratio of typical loads by 52.8 % compared to the original algorithm, effectively allocates charging piles to store electric power resources during off-peak periods, reduces user charging costs by 16.83 %–26.3 %, and increases Charging pile revenue. In response to the issues arising from the disordered charging and discharging behavior of electric vehicle energy storage Charging piles, as well as the dynamic characteristics of electric vehicles, we have developed an ordered charging and discharging optimization scheduling strategy for energy storage Charging piles considering time-of-use electricity prices. The decision variables include the charging and discharging prices, states, and power of electric vehicles. We have constructed a mathematical model for electric vehicle charging and discharging scheduling with the optimization objectives of minimizing the charging and discharging costs of electric vehicles and maximizing the revenue of Charging piles. To address the challenges of multivariable, multi-objective, and high-dimensional optimization in the proposed model, we propose a Multi-strategy Hybrid Improved Harris Hawk Algorithm (MHIHHO). In addition, to validate the optimization performance of the proposed algorithm, CEC benchmark test functions are employed to assess the algorithm's optimization accuracy, convergence speed, stability, and significance. Finally, optimization-based scheduling simulations are performed considering power constraints for energy storage charging and discharging at different time intervals, as well as discharge loads. The proposed method reduces the peak-to-valley ratio of typical loads by 52.8 % compared to the original algorithm, effectively allocates charging piles to store electric power resources during off-peak periods, reduces user charging costs by 16.83 %-26.3 %, and increases Charging pile revenue.In response to the issues arising from the disordered charging and discharging behavior of electric vehicle energy storage Charging piles, as well as the dynamic characteristics of electric vehicles, we have developed an ordered charging and discharging optimization scheduling strategy for energy storage Charging piles considering time-of-use electricity prices. The decision variables include the charging and discharging prices, states, and power of electric vehicles. We have constructed a mathematical model for electric vehicle charging and discharging scheduling with the optimization objectives of minimizing the charging and discharging costs of electric vehicles and maximizing the revenue of Charging piles. To address the challenges of multivariable, multi-objective, and high-dimensional optimization in the proposed model, we propose a Multi-strategy Hybrid Improved Harris Hawk Algorithm (MHIHHO). In addition, to validate the optimization performance of the proposed algorithm, CEC benchmark test functions are employed to assess the algorithm's optimization accuracy, convergence speed, stability, and significance. Finally, optimization-based scheduling simulations are performed considering power constraints for energy storage charging and discharging at different time intervals, as well as discharge loads. The proposed method reduces the peak-to-valley ratio of typical loads by 52.8 % compared to the original algorithm, effectively allocates charging piles to store electric power resources during off-peak periods, reduces user charging costs by 16.83 %-26.3 %, and increases Charging pile revenue. |
| ArticleNumber | e31525 |
| Author | Tang, Bo Shiting, Cui Zhu, Ruinjin Wang, Xin Yuan, Chao |
| Author_xml | – sequence: 1 givenname: Bo surname: Tang fullname: Tang, Bo organization: Electric Engineering College, Tibet Agriculture and Husbandry College, Nyingchi, 860000, China – sequence: 2 givenname: Cui orcidid: 0009-0002-7650-3176 surname: Shiting fullname: Shiting, Cui email: 202100501237@stu.xza.edu.cn organization: College of Water Conservancy and Civil Engineering, Tibet Agriculture and Animal Husbandry University, Linzhi 860000, China – sequence: 3 givenname: Xin surname: Wang fullname: Wang, Xin organization: Tibet Electric Power Scientific Research Insitute, Linzhi, 860000, China – sequence: 4 givenname: Chao surname: Yuan fullname: Yuan, Chao organization: Electric Engineering College, Tibet Agriculture and Husbandry College, Nyingchi, 860000, China – sequence: 5 givenname: Ruinjin surname: Zhu fullname: Zhu, Ruinjin organization: Electric Engineering College, Tibet Agriculture and Husbandry College, Nyingchi, 860000, China |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/38818159$$D View this record in MEDLINE/PubMed |
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| Cites_doi | 10.1007/s10462-022-10218-0 10.1016/j.ijepes.2022.108218 10.1109/TII.2024.3352089 10.1109/ACCESS.2022.3182700 10.1016/j.ijepes.2021.107500 10.1016/j.ijepes.2021.107926 10.1016/j.egypro.2019.01.861 10.1016/j.future.2019.02.028 10.1016/j.apenergy.2021.118018 10.1016/j.energy.2023.127088 10.1007/s40565-015-0117-z 10.1016/j.enpol.2019.111103 |
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| Keywords | Peak shaving and valley filling Electric vehicle Harris hawk optimization Multi-strategy hybrid improved Harris hawk algorithm Orderly charge and discharge Energy storage |
| Language | English |
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| References | Islam, Lu, Islam, Hossain, Li (bib20) 2020; 56 Hong, Pingliang, Jianyi (bib7) 2015; 3 Y. Liu et al., "A new noncontact detection method for assessing the aging state of composite insulators," in IEEE Transactions on Industrial Informatics, doi: 10.1109/TII.2024.3352089. Lijing (bib2) 2019; 158 Wang, Ye, Wang, Tang, Strbac (bib14) 2022 Yang, Yu, Meng (bib16) 2024 Heidari, Mirjalili, Faris (bib27) 2019; 97 Wenshan, Ming, Rui (bib24) 2022; 43 Jinbing, Song, Yun (bib1) 2018; 55 Wang, Wang, Tang, Ye (bib15) 2022; 140 Miah (bib5) 2022; vol. 10 El Hammoumi, Chaibi, El Bachtiri (bib11) 2022; 18 Kapustin, Grushevenko (bib9) 2020; 137 Anand, Bagen, Rajapakse (bib26) 2022; 137 Lu, Xia, Gu (bib12) 2021 Shouxiang, Shantao, Kai (bib19) 2020; 40 Liu, Lin, Rehtanz, Huang, Zhou, Li (bib18) 2022; 141 Yingjun, Ding, Luo (bib4) 2022; 30 Du, Ma, Yin (bib25) 2023; 271 Shaolun, Zheng, Donghan (bib6) 2014; 34 Chen, Wang, Zhao (bib21) 2012; 36 Zhang, Song, Xin (bib23) 2013; 37 Shouxiang, Shantao, Kai (bib22) 2020; 40 Gao (bib3) 2021; 2021 Setyo, Benfano (bib10) 2022; 16 Shijie, Liu, Pan (bib8) 2021; 16 Hussain, Neggaz, Zhu (bib28) 2021 Sahoo, Saha, Nama (bib30) 2023; 56 ElGhanam, Sharf, Odeh, Hassan, Osman (bib13) 2022; 10 Zhang, Wang, Lu (bib17) 2022; 306 Hussain (10.1016/j.heliyon.2024.e31525_bib28) 2021 10.1016/j.heliyon.2024.e31525_bib29 El Hammoumi (10.1016/j.heliyon.2024.e31525_bib11) 2022; 18 Shouxiang (10.1016/j.heliyon.2024.e31525_bib22) 2020; 40 Shijie (10.1016/j.heliyon.2024.e31525_bib8) 2021; 16 Liu (10.1016/j.heliyon.2024.e31525_bib18) 2022; 141 Zhang (10.1016/j.heliyon.2024.e31525_bib23) 2013; 37 Kapustin (10.1016/j.heliyon.2024.e31525_bib9) 2020; 137 Heidari (10.1016/j.heliyon.2024.e31525_bib27) 2019; 97 Jinbing (10.1016/j.heliyon.2024.e31525_bib1) 2018; 55 Wenshan (10.1016/j.heliyon.2024.e31525_bib24) 2022; 43 Sahoo (10.1016/j.heliyon.2024.e31525_bib30) 2023; 56 Du (10.1016/j.heliyon.2024.e31525_bib25) 2023; 271 Yang (10.1016/j.heliyon.2024.e31525_bib16) 2024 Gao (10.1016/j.heliyon.2024.e31525_bib3) 2021; 2021 Wang (10.1016/j.heliyon.2024.e31525_bib15) 2022; 140 Wang (10.1016/j.heliyon.2024.e31525_bib14) 2022 Islam (10.1016/j.heliyon.2024.e31525_bib20) 2020; 56 Lu (10.1016/j.heliyon.2024.e31525_bib12) 2021 Shouxiang (10.1016/j.heliyon.2024.e31525_bib19) 2020; 40 Chen (10.1016/j.heliyon.2024.e31525_bib21) 2012; 36 Hong (10.1016/j.heliyon.2024.e31525_bib7) 2015; 3 Setyo (10.1016/j.heliyon.2024.e31525_bib10) 2022; 16 Zhang (10.1016/j.heliyon.2024.e31525_bib17) 2022; 306 ElGhanam (10.1016/j.heliyon.2024.e31525_bib13) 2022; 10 Yingjun (10.1016/j.heliyon.2024.e31525_bib4) 2022; 30 Anand (10.1016/j.heliyon.2024.e31525_bib26) 2022; 137 Miah (10.1016/j.heliyon.2024.e31525_bib5) 2022; vol. 10 Lijing (10.1016/j.heliyon.2024.e31525_bib2) 2019; 158 Shaolun (10.1016/j.heliyon.2024.e31525_bib6) 2014; 34 |
| References_xml | – volume: vol. 10 start-page: 52982 year: 2022 end-page: 53014 ident: bib5 article-title: Energy storage controllers and optimization schemes integration to microgrid: an analytical assessment towards future perspectives publication-title: IEEE Access – start-page: 1 year: 2024 end-page: 10 ident: bib16 article-title: A three-stage optimization of charging scheduling of electric vehicles considering electricity price and user selection publication-title: Electr. Eng. – volume: 3 start-page: 232 year: 2015 end-page: 239 ident: bib7 article-title: An optimization strategy of controlled electric vehicle charging considering demand side response and regional wind and photovoltaic publication-title: Journal of Modern Power Systems and Clean Energy – volume: 141 year: 2022 ident: bib18 article-title: Data-driven intelligent EV charging operating with limited chargers considering the charging demand forecasting publication-title: Int. J. Electr. Power Energy Syst. – volume: 36 start-page: 25 year: 2012 end-page: 31 ident: bib21 article-title: Economic operation optimization of a stand-alone microgrid system considering characteristics of energy storage system publication-title: Autom. Electr. Power Syst. – volume: 158 start-page: 3853 year: 2019 end-page: 3858 ident: bib2 article-title: Study on indirect network effects on the construction of electric vehicle charging piles based on game theory analysis publication-title: Energy Proc. – volume: 97 start-page: 849 year: 2019 end-page: 872。 ident: bib27 article-title: Harris hawks optimization: algorithm and applications publication-title: Future Generat. Comput. Syst. – volume: 2021 start-page: 48 year: 2021 end-page: 51 ident: bib3 article-title: Electric vehicle committee of 100: focus on new energy development pattern and industrial transformation publication-title: Automobile& Parts – volume: 55 start-page: 33 year: 2018 end-page: 40 ident: bib1 article-title: Study on the impact of electric vehicle charging on voltage quality of distribution network publication-title: Electrical Measurement & Instrumentation – volume: 40 start-page: 125 year: 2020 end-page: 132 ident: bib19 article-title: Multi-objective optimal operation of distributed energy storage considering user demand response under time-of-use price publication-title: Electric Power Automation Equipment – start-page: 176 year: 2021 ident: bib28 article-title: An efficient hybrid sine-cosine Harris hawks optimization for low and high-dimensional feature selection publication-title: Expert Syst. Appl. – volume: 16 start-page: 225 year: 2022 ident: bib10 article-title: Electrical energy saving with smart home monitoring to measure water levels in real time based on internet of things publication-title: ICIC Express Letters – volume: 140 year: 2022 ident: bib15 article-title: Spatial load migration in a power system: concept, potential and prospects publication-title: Int. J. Electr. Power Energy Syst. – volume: 137 year: 2022 ident: bib26 article-title: Reliability oriented distribution system analysis considering electric vehicles and hybrid energy resources publication-title: Int. J. Electr. Power Energy Syst. – volume: 16 start-page: 137 year: 2021 end-page: 144 ident: bib8 article-title: Coordinated charging strategy for electric vehicles based on hierarchical optimization publication-title: J. Electr. Eng. – volume: 137 year: 2020 ident: bib9 article-title: Long-term electric vehicles outlook and their potential impact on electric grid publication-title: Energy Pol. – volume: 30 start-page: 32 year: 2022 end-page: 40 ident: bib4 article-title: Long-term trend forecast of new energy vehicle development and its impact on gasoline demand in China publication-title: International Petroleum Economy – volume: 40 start-page: 125 year: 2020 end-page: 132 ident: bib22 article-title: Multi-objective optimal operation of distributed energy storage considering user demand response under time-of-use price publication-title: Electric Power Automation Equipment – volume: 43 start-page: 101 year: 2022 end-page: 110 ident: bib24 article-title: Power flow optimization study on active distribution network based on three-terminal sop with energy storage system publication-title: Acta Energiae Solaris Sin. – volume: 18 start-page: 253 year: 2022 ident: bib11 article-title: Fuzzy state-feedback control for MPPT of photovoltaic energy with storage system publication-title: International Journal of Innovative Computing, Information and Control – volume: 306 year: 2022 ident: bib17 article-title: Multi-objective load dispatch for microgrid with electric vehicles using modified gravitational search and particle swarm optimization algorithm publication-title: Appl. Energy – volume: 10 start-page: 62879 year: 2022 end-page: 62892 ident: bib13 article-title: On the coordination of charging demand of electric vehicles in a network of dynamic wireless charging systems publication-title: IEEE Access – volume: 56 start-page: 2811 year: 2023 end-page: 2869 ident: bib30 article-title: An improved moth flame optimization algorithm based on modified dynamic opposite learning strategy publication-title: Artif. Intell. Rev. – volume: 37 start-page: 2123 year: 2013 end-page: 2128 ident: bib23 article-title: Optimal operation strategy of battery energy storage system in distribution networks with consideration of power losses publication-title: Power Syst. Technol. – reference: Y. Liu et al., "A new noncontact detection method for assessing the aging state of composite insulators," in IEEE Transactions on Industrial Informatics, doi: 10.1109/TII.2024.3352089. – volume: 271 year: 2023 ident: bib25 article-title: Orderly charging strategy of electric vehicle based on improved PSO algorithm publication-title: Energy – volume: 56 start-page: 4552 year: 2020 end-page: 4562 ident: bib20 article-title: An IoT- based decision support tool for improving the performance of smart grids connected with distributed energy sources and electric vehicles publication-title: IEEE Trans. Ind. Appl. – start-page: 1 year: 2022 end-page: 11 ident: bib14 article-title: An efficient LP-based approach for spatial-temporal coordination of electric vehicles in electricity-transportation nexus publication-title: IEEE Trans. Power Syst. – volume: 34 start-page: 7 year: 2014 end-page: 13 ident: bib6 article-title: Cooperative charging control strategy of electric vehicles based on multi-agent publication-title: Electric Power Automation Equipment – year: 2021 ident: bib12 article-title: Two-stage robust distribution system operation by coordinating electric vehicle aggregator charging and load curtailments publication-title: Energy – volume: 56 start-page: 2811 year: 2023 ident: 10.1016/j.heliyon.2024.e31525_bib30 article-title: An improved moth flame optimization algorithm based on modified dynamic opposite learning strategy publication-title: Artif. Intell. Rev. doi: 10.1007/s10462-022-10218-0 – volume: 2021 start-page: 48 issue: 3 year: 2021 ident: 10.1016/j.heliyon.2024.e31525_bib3 article-title: Electric vehicle committee of 100: focus on new energy development pattern and industrial transformation publication-title: Automobile& Parts – volume: 16 start-page: 225 issue: 3 year: 2022 ident: 10.1016/j.heliyon.2024.e31525_bib10 article-title: Electrical energy saving with smart home monitoring to measure water levels in real time based on internet of things publication-title: ICIC Express Letters – volume: 141 year: 2022 ident: 10.1016/j.heliyon.2024.e31525_bib18 article-title: Data-driven intelligent EV charging operating with limited chargers considering the charging demand forecasting publication-title: Int. J. Electr. Power Energy Syst. doi: 10.1016/j.ijepes.2022.108218 – issue: 5 year: 2021 ident: 10.1016/j.heliyon.2024.e31525_bib12 article-title: Two-stage robust distribution system operation by coordinating electric vehicle aggregator charging and load curtailments publication-title: Energy – volume: 56 start-page: 4552 year: 2020 ident: 10.1016/j.heliyon.2024.e31525_bib20 article-title: An IoT- based decision support tool for improving the performance of smart grids connected with distributed energy sources and electric vehicles publication-title: IEEE Trans. Ind. Appl. – ident: 10.1016/j.heliyon.2024.e31525_bib29 doi: 10.1109/TII.2024.3352089 – volume: 10 start-page: 62879 year: 2022 ident: 10.1016/j.heliyon.2024.e31525_bib13 article-title: On the coordination of charging demand of electric vehicles in a network of dynamic wireless charging systems publication-title: IEEE Access doi: 10.1109/ACCESS.2022.3182700 – start-page: 1 year: 2024 ident: 10.1016/j.heliyon.2024.e31525_bib16 article-title: A three-stage optimization of charging scheduling of electric vehicles considering electricity price and user selection publication-title: Electr. Eng. – volume: 137 year: 2022 ident: 10.1016/j.heliyon.2024.e31525_bib26 article-title: Reliability oriented distribution system analysis considering electric vehicles and hybrid energy resources publication-title: Int. J. Electr. Power Energy Syst. doi: 10.1016/j.ijepes.2021.107500 – volume: 16 start-page: 137 issue: 3 year: 2021 ident: 10.1016/j.heliyon.2024.e31525_bib8 article-title: Coordinated charging strategy for electric vehicles based on hierarchical optimization publication-title: J. Electr. Eng. – volume: 36 start-page: 25 issue: 20 year: 2012 ident: 10.1016/j.heliyon.2024.e31525_bib21 article-title: Economic operation optimization of a stand-alone microgrid system considering characteristics of energy storage system publication-title: Autom. Electr. Power Syst. – volume: 55 start-page: 33 issue: 22 year: 2018 ident: 10.1016/j.heliyon.2024.e31525_bib1 article-title: Study on the impact of electric vehicle charging on voltage quality of distribution network publication-title: Electrical Measurement & Instrumentation – volume: 40 start-page: 125 issue: 1 year: 2020 ident: 10.1016/j.heliyon.2024.e31525_bib22 article-title: Multi-objective optimal operation of distributed energy storage considering user demand response under time-of-use price publication-title: Electric Power Automation Equipment – start-page: 1 year: 2022 ident: 10.1016/j.heliyon.2024.e31525_bib14 article-title: An efficient LP-based approach for spatial-temporal coordination of electric vehicles in electricity-transportation nexus publication-title: IEEE Trans. Power Syst. – volume: 140 year: 2022 ident: 10.1016/j.heliyon.2024.e31525_bib15 article-title: Spatial load migration in a power system: concept, potential and prospects publication-title: Int. J. Electr. Power Energy Syst. doi: 10.1016/j.ijepes.2021.107926 – volume: 158 start-page: 3853 year: 2019 ident: 10.1016/j.heliyon.2024.e31525_bib2 article-title: Study on indirect network effects on the construction of electric vehicle charging piles based on game theory analysis publication-title: Energy Proc. doi: 10.1016/j.egypro.2019.01.861 – volume: 18 start-page: 253 year: 2022 ident: 10.1016/j.heliyon.2024.e31525_bib11 article-title: Fuzzy state-feedback control for MPPT of photovoltaic energy with storage system publication-title: International Journal of Innovative Computing, Information and Control – volume: 43 start-page: 101 issue: 3 year: 2022 ident: 10.1016/j.heliyon.2024.e31525_bib24 article-title: Power flow optimization study on active distribution network based on three-terminal sop with energy storage system publication-title: Acta Energiae Solaris Sin. – volume: vol. 10 start-page: 52982 year: 2022 ident: 10.1016/j.heliyon.2024.e31525_bib5 article-title: Energy storage controllers and optimization schemes integration to microgrid: an analytical assessment towards future perspectives – start-page: 176 issue: Aug year: 2021 ident: 10.1016/j.heliyon.2024.e31525_bib28 article-title: An efficient hybrid sine-cosine Harris hawks optimization for low and high-dimensional feature selection publication-title: Expert Syst. Appl. – volume: 97 start-page: 849 year: 2019 ident: 10.1016/j.heliyon.2024.e31525_bib27 article-title: Harris hawks optimization: algorithm and applications publication-title: Future Generat. Comput. Syst. doi: 10.1016/j.future.2019.02.028 – volume: 306 year: 2022 ident: 10.1016/j.heliyon.2024.e31525_bib17 article-title: Multi-objective load dispatch for microgrid with electric vehicles using modified gravitational search and particle swarm optimization algorithm publication-title: Appl. Energy doi: 10.1016/j.apenergy.2021.118018 – volume: 271 year: 2023 ident: 10.1016/j.heliyon.2024.e31525_bib25 article-title: Orderly charging strategy of electric vehicle based on improved PSO algorithm publication-title: Energy doi: 10.1016/j.energy.2023.127088 – volume: 34 start-page: 7 issue: 11 year: 2014 ident: 10.1016/j.heliyon.2024.e31525_bib6 article-title: Cooperative charging control strategy of electric vehicles based on multi-agent publication-title: Electric Power Automation Equipment – volume: 40 start-page: 125 issue: 1 year: 2020 ident: 10.1016/j.heliyon.2024.e31525_bib19 article-title: Multi-objective optimal operation of distributed energy storage considering user demand response under time-of-use price publication-title: Electric Power Automation Equipment – volume: 30 start-page: 32 issue: 8 year: 2022 ident: 10.1016/j.heliyon.2024.e31525_bib4 article-title: Long-term trend forecast of new energy vehicle development and its impact on gasoline demand in China publication-title: International Petroleum Economy – volume: 3 start-page: 232 issue: 2 year: 2015 ident: 10.1016/j.heliyon.2024.e31525_bib7 article-title: An optimization strategy of controlled electric vehicle charging considering demand side response and regional wind and photovoltaic publication-title: Journal of Modern Power Systems and Clean Energy doi: 10.1007/s40565-015-0117-z – volume: 137 year: 2020 ident: 10.1016/j.heliyon.2024.e31525_bib9 article-title: Long-term electric vehicles outlook and their potential impact on electric grid publication-title: Energy Pol. doi: 10.1016/j.enpol.2019.111103 – volume: 37 start-page: 2123 issue: 8 year: 2013 ident: 10.1016/j.heliyon.2024.e31525_bib23 article-title: Optimal operation strategy of battery energy storage system in distribution networks with consideration of power losses publication-title: Power Syst. 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| SubjectTerms | algorithms electric power Electric vehicle electric vehicles electricity energy Energy storage Harris hawk optimization income mathematical models Multi-strategy hybrid improved Harris hawk algorithm Orderly charge and discharge Parabuteo unicinctus Peak shaving and valley filling |
| Title | Optimized operation strategy for energy storage charging piles based on multi-strategy hybrid improved Harris hawk algorithm |
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