Optimal planning of energy storage system in active distribution system based on fuzzy multi-objective bi-level optimization
A fuzzy multi-objective bi-level optimization problem is proposed to model the planning of energy storage system (ESS) in active distribution systems (ADS). The proposed model enables us to take into account how optimal operation strategy of ESS in the lower level can affect and be affected by the o...
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| Veröffentlicht in: | Journal of modern power systems and clean energy Jg. 6; H. 2; S. 342 - 355 |
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| Hauptverfasser: | , , , |
| Format: | Journal Article |
| Sprache: | Englisch |
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Berlin/Heidelberg
Springer Berlin Heidelberg
01.03.2018
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) IEEE |
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| ISSN: | 2196-5625, 2196-5420 |
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| Abstract | A fuzzy multi-objective bi-level optimization problem is proposed to model the planning of energy storage system (ESS) in active distribution systems (ADS). The proposed model enables us to take into account how optimal operation strategy of ESS in the lower level can affect and be affected by the optimal allocation of ESS in the upper level. The power characteristic model of micro-grid (MG) and typical daily scenarios are established to take full consideration of time-variable nature of renewable energy generations (REGs) and load demand while easing the burden of computation. To solve the bi-level mixed integer problem, a multi-subgroup hierarchical chaos hybrid algorithm is introduced based on differential evolution (DE) and particle swarm optimization (PSO). The modified IEEE-33 bus benchmark distribution system is utilized to investigate the availability and effectiveness of the proposed model and the hybrid algorithm. Results indicate that the planning model gives an adequate consideration to the optimal operation and different roles of ESS, and has the advantages of objectiveness and reasonableness. |
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| AbstractList | A fuzzy multi-objective bi-level optimization problem is proposed to model the planning of energy storage system (ESS) in active distribution systems (ADS). The proposed model enables us to take into account how optimal operation strategy of ESS in the lower level can affect and be affected by the optimal allocation of ESS in the upper level. The power characteristic model of micro-grid (MG) and typical daily scenarios are established to take full consideration of time-variable nature of renewable energy generations (REGs) and load demand while easing the burden of computation. To solve the bi-level mixed integer problem, a multi-subgroup hierarchical chaos hybrid algorithm is introduced based on differential evolution (DE) and particle swarm optimization (PSO). The modified IEEE-33 bus benchmark distribution system is utilized to investigate the availability and effectiveness of the proposed model and the hybrid algorithm. Results indicate that the planning model gives an adequate consideration to the optimal operation and different roles of ESS, and has the advantages of objectiveness and reasonableness. Abstract A fuzzy multi-objective bi-level optimization problem is proposed to model the planning of energy storage system (ESS) in active distribution systems (ADS). The proposed model enables us to take into account how optimal operation strategy of ESS in the lower level can affect and be affected by the optimal allocation of ESS in the upper level. The power characteristic model of micro-grid (MG) and typical daily scenarios are established to take full consideration of time-variable nature of renewable energy generations (REGs) and load demand while easing the burden of computation. To solve the bi-level mixed integer problem, a multi-subgroup hierarchical chaos hybrid algorithm is introduced based on differential evolution (DE) and particle swarm optimization (PSO). The modified IEEE-33 bus benchmark distribution system is utilized to investigate the availability and effectiveness of the proposed model and the hybrid algorithm. Results indicate that the planning model gives an adequate consideration to the optimal operation and different roles of ESS, and has the advantages of objectiveness and reasonableness. |
| Author | WU, Xuezhi LI, Rui CHEN, Zhe WANG, Wei |
| Author_xml | – sequence: 1 givenname: Rui orcidid: 0000-0003-1321-0835 surname: LI fullname: LI, Rui email: lirui_ee@bjtu.edu.cn organization: National Active Distribution Network Technology Research Center, Beijing Jiaotong University – sequence: 2 givenname: Wei surname: WANG fullname: WANG, Wei organization: National Active Distribution Network Technology Research Center, Beijing Jiaotong University – sequence: 3 givenname: Zhe surname: CHEN fullname: CHEN, Zhe organization: Department of Energy Technology, Aalborg University – sequence: 4 givenname: Xuezhi surname: WU fullname: WU, Xuezhi organization: National Active Distribution Network Technology Research Center, Beijing Jiaotong University |
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| Cites_doi | 10.1016/j.energy.2016.06.132 10.1049/iet-rpg.2015.0542 10.1109/TSTE.2016.2555704 10.3103/S0003701X15040192 10.1016/j.rser.2009.01.023 10.1109/TPWRS.2015.2404533 10.3390/en8042412 10.1016/j.energy.2011.09.017 10.1109/TPWRS.2010.2045663 10.1016/j.renene.2016.06.020 10.1016/j.rser.2016.01.048 10.1016/j.rser.2014.10.011 10.1016/j.ijepes.2016.02.006 10.1016/j.apenergy.2016.08.190 10.1109/TGRS.2008.2008182 10.1109/TSTE.2012.2227343 10.1007/s40565-015-0148-5 10.1049/iet-gtd.2015.0130 10.1109/TPEL.2011.2116808 10.1049/iet-gtd.2015.0398 10.1109/MPAE.2007.376583 10.1007/s40565-015-0170-7 10.1109/TPAS.1979.319398 10.7500/AEPS20130722009 10.1109/TSTE.2012.2228509 |
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| SubjectTerms | Active distribution system Bi-level programming Electrical Machines and Networks Energy Energy storage Energy storage system Energy Systems Evolutionary algorithms Fuzzy multiple objective Fuzzy systems Mixed integer Multiple objective analysis Optimal planning Particle swarm optimization Power Electronics Renewable and Green Energy |
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| Title | Optimal planning of energy storage system in active distribution system based on fuzzy multi-objective bi-level optimization |
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