A High‐Proportion Household Photovoltaic Optimal Configuration Method Based on Integrated–Distributed Energy Storage System
As energy shortages and environmental pollution continue to worsen, household photovoltaics has gradually become an important part of household energy management. However, with the penetration rate of household photovoltaics increasing, the access of the high‐proportion household photovoltaics (HPHP...
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| Vydáno v: | IEEJ transactions on electrical and electronic engineering Ročník 17; číslo 3; s. 335 - 343 |
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| Médium: | Journal Article |
| Jazyk: | angličtina |
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Hoboken, USA
John Wiley & Sons, Inc
01.03.2022
Wiley Subscription Services, Inc |
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| ISSN: | 1931-4973, 1931-4981 |
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| Abstract | As energy shortages and environmental pollution continue to worsen, household photovoltaics has gradually become an important part of household energy management. However, with the penetration rate of household photovoltaics increasing, the access of the high‐proportion household photovoltaics (HPHP) will seriously endanger the operation of the distribution network. Therefore, it is urgent to stabilize the voltage fluctuations after the HPHP connected to the grid. This paper proposes a high‐proportion household photovoltaic optimal configuration method based on integrated–distributed energy storage system. After analyzing the adverse effects of HPHP connected to the grid, this paper uses modified K‐means clustering algorithm to classify energy storage in an integrated and distributed manner. Then based on the modified particle swarm optimization (MPSO), the integrated and distributed energy storage system is configured to realize the voltage stability of HPHP. The analysis of the example shows that the method proposed in this paper can effectively improve the power quality. At the same time, it can achieve the goal of economic optimization, which can effectively solve the adverse impact of HPHP grid connection. © 2021 Institute of Electrical Engineers of Japan. Published by Wiley Periodicals LLC. |
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| AbstractList | As energy shortages and environmental pollution continue to worsen, household photovoltaics has gradually become an important part of household energy management. However, with the penetration rate of household photovoltaics increasing, the access of the high‐proportion household photovoltaics (HPHP) will seriously endanger the operation of the distribution network. Therefore, it is urgent to stabilize the voltage fluctuations after the HPHP connected to the grid. This paper proposes a high‐proportion household photovoltaic optimal configuration method based on integrated–distributed energy storage system. After analyzing the adverse effects of HPHP connected to the grid, this paper uses modified K‐means clustering algorithm to classify energy storage in an integrated and distributed manner. Then based on the modified particle swarm optimization (MPSO), the integrated and distributed energy storage system is configured to realize the voltage stability of HPHP. The analysis of the example shows that the method proposed in this paper can effectively improve the power quality. At the same time, it can achieve the goal of economic optimization, which can effectively solve the adverse impact of HPHP grid connection. © 2021 Institute of Electrical Engineers of Japan. Published by Wiley Periodicals LLC. |
| Author | Xu, Xiaotian Ge, Haoran Zhang, Xinyuan Ma, Gang Pang, Yuqi Liu, Xunyu |
| Author_xml | – sequence: 1 givenname: Xinyuan surname: Zhang fullname: Zhang, Xinyuan organization: Nanjing Normal University – sequence: 2 givenname: Gang surname: Ma fullname: Ma, Gang email: nnumg@njnu.edu.cn organization: Nanjing Normal University – sequence: 3 givenname: Yuqi surname: Pang fullname: Pang, Yuqi organization: Nanjing Normal University – sequence: 4 givenname: Xunyu surname: Liu fullname: Liu, Xunyu organization: Nanjing Normal University – sequence: 5 givenname: Xiaotian surname: Xu fullname: Xu, Xiaotian organization: Nanjing Normal University – sequence: 6 givenname: Haoran surname: Ge fullname: Ge, Haoran organization: Nanjing Normal University |
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| Cites_doi | 10.1109/TSG.2015.2410171 10.1109/TSG.2015.2472523 10.1109/TII.2018.2871551 10.1109/TPWRD.2015.2422308 10.1109/ACCESS.2020.3024212 10.1109/TSG.2015.2499264 10.1109/JIOT.2017.2677578 10.1109/TPWRS.2016.2554099 10.1109/TPDS.2014.2306193 10.1109/ACCESS.2021.3080090 10.1109/TSTE.2010.2098483 |
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| Copyright | 2021 Institute of Electrical Engineers of Japan. Published by Wiley Periodicals LLC. 2022 Institute of Electrical Engineers of Japan. Published by Wiley Periodicals LLC. |
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| SubjectTerms | Algorithms analytic hierarchy process Clustering Configurations Distributed generation Energy management Energy storage high‐proportion household photovoltaics Households Impact analysis integrated–distributed energy storage system modified K‐means clustering algorithm modified particle swarm optimization Particle swarm optimization Photovoltaic cells Residential energy Stability analysis Voltage stability |
| Title | A High‐Proportion Household Photovoltaic Optimal Configuration Method Based on Integrated–Distributed Energy Storage System |
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