Evaluation Method of the Incremental Power Supply Capability Brought by Distributed Generation
More and more distributed generation (DG) and energy storage (ES) devices are being connected to the distribution network (DN). They have the potential of maintaining a stable supply load during failure periods when using islanding operations. Therefore, DG and ES have capacity value, i.e., improvin...
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MDPI AG
2023-08-01
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Series: | Energies |
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Online Access: | https://www.mdpi.com/1996-1073/16/16/6062 |
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author | Yi Hao Zhigang Huang Shiqian Ma Jiakai Huang Jiahao Chen Bing Sun |
author_facet | Yi Hao Zhigang Huang Shiqian Ma Jiakai Huang Jiahao Chen Bing Sun |
author_sort | Yi Hao |
collection | DOAJ |
description | More and more distributed generation (DG) and energy storage (ES) devices are being connected to the distribution network (DN). They have the potential of maintaining a stable supply load during failure periods when using islanding operations. Therefore, DG and ES have capacity value, i.e., improving the power supply capability of the system. However, there are strong fluctuations in DG outputs, and the operations of ES devices have sequential characteristics. The same capacity of DG has different load-bearing capabilities compared to conventional thermal or hydroelectric units. This paper proposes a method for evaluation of power supply capability improvement in DNs. First, the temporal fluctuation in both power source and load demand during fault periods is considered. A DN island partition model considering the secondary power outage constraint is established. Then, a modified genetic algorithm is designed. The complex island partition model is solved to achieve accurate power supply reliability evaluation. And the incremental power supply capability associated to DG and ES devices is calculated. Finally, a case study is conducted on the PG&E 69-bus system to verify the effectiveness of the proposed method. It is found that with a 20% configuration ratio of ES devices, the power supply capability improvement brought about by 6 MW DG can reach about 773 kW. |
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id | doaj.art-6c2db82963be4c23ab1b8e45c6ccbc99 |
institution | Directory Open Access Journal |
issn | 1996-1073 |
language | English |
last_indexed | 2024-03-10T23:58:18Z |
publishDate | 2023-08-01 |
publisher | MDPI AG |
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series | Energies |
spelling | doaj.art-6c2db82963be4c23ab1b8e45c6ccbc992023-11-19T00:58:11ZengMDPI AGEnergies1996-10732023-08-011616606210.3390/en16166062Evaluation Method of the Incremental Power Supply Capability Brought by Distributed GenerationYi Hao0Zhigang Huang1Shiqian Ma2Jiakai Huang3Jiahao Chen4Bing Sun5State Grid Tianjin Electric Power Company, Tianjin 300010, ChinaState Grid Tianjin Electric Power Company, Tianjin 300010, ChinaState Grid Tianjin Electric Power Research Institute, Tianjin 300010, ChinaState Grid Tianjin Electric Power Research Institute, Tianjin 300010, ChinaSchool of Electrical Automation and Information Engineering, Tianjin University, Tianjin 300072, ChinaSchool of Electrical Automation and Information Engineering, Tianjin University, Tianjin 300072, ChinaMore and more distributed generation (DG) and energy storage (ES) devices are being connected to the distribution network (DN). They have the potential of maintaining a stable supply load during failure periods when using islanding operations. Therefore, DG and ES have capacity value, i.e., improving the power supply capability of the system. However, there are strong fluctuations in DG outputs, and the operations of ES devices have sequential characteristics. The same capacity of DG has different load-bearing capabilities compared to conventional thermal or hydroelectric units. This paper proposes a method for evaluation of power supply capability improvement in DNs. First, the temporal fluctuation in both power source and load demand during fault periods is considered. A DN island partition model considering the secondary power outage constraint is established. Then, a modified genetic algorithm is designed. The complex island partition model is solved to achieve accurate power supply reliability evaluation. And the incremental power supply capability associated to DG and ES devices is calculated. Finally, a case study is conducted on the PG&E 69-bus system to verify the effectiveness of the proposed method. It is found that with a 20% configuration ratio of ES devices, the power supply capability improvement brought about by 6 MW DG can reach about 773 kW.https://www.mdpi.com/1996-1073/16/16/6062power supply capabilitydistributed generationpower supply reliability criteriaisland partitiongenetic algorithm |
spellingShingle | Yi Hao Zhigang Huang Shiqian Ma Jiakai Huang Jiahao Chen Bing Sun Evaluation Method of the Incremental Power Supply Capability Brought by Distributed Generation Energies power supply capability distributed generation power supply reliability criteria island partition genetic algorithm |
title | Evaluation Method of the Incremental Power Supply Capability Brought by Distributed Generation |
title_full | Evaluation Method of the Incremental Power Supply Capability Brought by Distributed Generation |
title_fullStr | Evaluation Method of the Incremental Power Supply Capability Brought by Distributed Generation |
title_full_unstemmed | Evaluation Method of the Incremental Power Supply Capability Brought by Distributed Generation |
title_short | Evaluation Method of the Incremental Power Supply Capability Brought by Distributed Generation |
title_sort | evaluation method of the incremental power supply capability brought by distributed generation |
topic | power supply capability distributed generation power supply reliability criteria island partition genetic algorithm |
url | https://www.mdpi.com/1996-1073/16/16/6062 |
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