Evaluation Method of the Incremental Power Supply Capability Brought by Distributed Generation
Yi Hao,
Zhigang Huang,
Shiqian Ma,
Jiakai Huang,
Jiahao Chen and
Bing Sun ()
Additional contact information
Yi Hao: State Grid Tianjin Electric Power Company, Tianjin 300010, China
Zhigang Huang: State Grid Tianjin Electric Power Company, Tianjin 300010, China
Shiqian Ma: State Grid Tianjin Electric Power Research Institute, Tianjin 300010, China
Jiakai Huang: State Grid Tianjin Electric Power Research Institute, Tianjin 300010, China
Jiahao Chen: School of Electrical Automation and Information Engineering, Tianjin University, Tianjin 300072, China
Bing Sun: School of Electrical Automation and Information Engineering, Tianjin University, Tianjin 300072, China
Energies, 2023, vol. 16, issue 16, 1-17
Abstract:
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.
Keywords: power supply capability; distributed generation; power supply reliability criteria; island partition; genetic algorithm (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
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