Service Restoring Reconfiguration for Distribution Networks Considering Uncertainty in Available Information
The recent growth in the penetration of photovoltaic generation systems (PVs) has brought new difficulties in the operating and planning of electric power distribution networks. This is because operators of the distribution networks normally cannot monitor or control the output of the PVs, which int...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-05-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/11/9/4169 |
| _version_ | 1797535397294637056 |
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| author | Hirotaka Takano Junichi Murata Kazuki Morishita Hiroshi Asano |
| author_facet | Hirotaka Takano Junichi Murata Kazuki Morishita Hiroshi Asano |
| author_sort | Hirotaka Takano |
| collection | DOAJ |
| description | The recent growth in the penetration of photovoltaic generation systems (PVs) has brought new difficulties in the operating and planning of electric power distribution networks. This is because operators of the distribution networks normally cannot monitor or control the output of the PVs, which introduces additional uncertainty into the available information that operations must rely on. This paper focuses on the service restoration of the distribution networks, and the authors propose a problem framework and its solution method that finds the optimal restoration configuration under extensive PV installation. The service restoration problems have been formulated as combinatorial optimization problems. They do, however, require accurate information on load sections, which is impractical in distribution networks with extensively installed PVs. A combined framework of robust optimization and two-stage stochastic programming adopted in the proposed problem formulation enables us to deal with the PV-originated uncertainty using readily available information only. In addition, this problem framework can be treated by a traditional solution method with slight extensions. The validity of the authors’ proposal is verified through numerical simulations on a real-scale distribution network model and a discussion of their results. |
| first_indexed | 2024-03-10T11:44:51Z |
| format | Article |
| id | doaj.art-f911bb0cf92747e8896649791e4269fc |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T11:44:51Z |
| publishDate | 2021-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-f911bb0cf92747e8896649791e4269fc2023-11-21T18:13:37ZengMDPI AGApplied Sciences2076-34172021-05-01119416910.3390/app11094169Service Restoring Reconfiguration for Distribution Networks Considering Uncertainty in Available InformationHirotaka Takano0Junichi Murata1Kazuki Morishita2Hiroshi Asano3Department of Electrical, Electronic and Computer Engineering, Gifu University, Gifu 501-1193, JapanDepartment of Electrical Engineering, Kyushu University, Fukuoka 819-0395, JapanDepartment of Electrical, Electronic and Computer Engineering, Gifu University, Gifu 501-1193, JapanDepartment of Electrical, Electronic and Computer Engineering, Gifu University, Gifu 501-1193, JapanThe recent growth in the penetration of photovoltaic generation systems (PVs) has brought new difficulties in the operating and planning of electric power distribution networks. This is because operators of the distribution networks normally cannot monitor or control the output of the PVs, which introduces additional uncertainty into the available information that operations must rely on. This paper focuses on the service restoration of the distribution networks, and the authors propose a problem framework and its solution method that finds the optimal restoration configuration under extensive PV installation. The service restoration problems have been formulated as combinatorial optimization problems. They do, however, require accurate information on load sections, which is impractical in distribution networks with extensively installed PVs. A combined framework of robust optimization and two-stage stochastic programming adopted in the proposed problem formulation enables us to deal with the PV-originated uncertainty using readily available information only. In addition, this problem framework can be treated by a traditional solution method with slight extensions. The validity of the authors’ proposal is verified through numerical simulations on a real-scale distribution network model and a discussion of their results.https://www.mdpi.com/2076-3417/11/9/4169distribution networksdistribution network reconfigurationservice restorationrestoration configurationrobust optimizationtwo-stage stochastic programming |
| spellingShingle | Hirotaka Takano Junichi Murata Kazuki Morishita Hiroshi Asano Service Restoring Reconfiguration for Distribution Networks Considering Uncertainty in Available Information Applied Sciences distribution networks distribution network reconfiguration service restoration restoration configuration robust optimization two-stage stochastic programming |
| title | Service Restoring Reconfiguration for Distribution Networks Considering Uncertainty in Available Information |
| title_full | Service Restoring Reconfiguration for Distribution Networks Considering Uncertainty in Available Information |
| title_fullStr | Service Restoring Reconfiguration for Distribution Networks Considering Uncertainty in Available Information |
| title_full_unstemmed | Service Restoring Reconfiguration for Distribution Networks Considering Uncertainty in Available Information |
| title_short | Service Restoring Reconfiguration for Distribution Networks Considering Uncertainty in Available Information |
| title_sort | service restoring reconfiguration for distribution networks considering uncertainty in available information |
| topic | distribution networks distribution network reconfiguration service restoration restoration configuration robust optimization two-stage stochastic programming |
| url | https://www.mdpi.com/2076-3417/11/9/4169 |
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