Evaluating the Effect of Distributed Generation on Power Supply Capacity in Active Distribution System Based on Sensitivity Analysis
Yajing Gao,
Wenhai Yang,
Jing Zhu,
Jiafeng Ren and
Peng Li
Additional contact information
Yajing Gao: School of Electrical and Electronic Engineering, North China Electric Power University, Baoding 071003, China
Wenhai Yang: School of Electrical and Electronic Engineering, North China Electric Power University, Baoding 071003, China
Jing Zhu: Maintenance Branch Company of State Grid Fujian Electric Power Co., Ltd, Xiamen 361000, China
Jiafeng Ren: School of Electrical and Electronic Engineering, North China Electric Power University, Baoding 071003, China
Peng Li: School of Electrical and Electronic Engineering, North China Electric Power University, Baoding 071003, China
Energies, 2017, vol. 10, issue 10, 1-14
Abstract:
In active distribution system (ADS), the access of distributed generation (DG) can effectively improve the power supply capacity (PSC). In order to explore the effect of DG on the PSC, the influence of accessed DG on the power supply of ADS has been studied based on generalized sensitivity analysis (SA). On the basis of deriving and obtaining the sensitivity of the evaluation indexes of the PSC to the parameters of connected DG, seeking for the DG access instruction for the purpose of improving the PSC, PSC evaluation model with inserted DG is established based on SA. The change degrees and trends of the PSC and its evaluation indexes caused by the slight increase of DG are calculated rapidly, which provides reference for the planning and operation of ADS. Finally, the feasibility and validity of the proposed theory are validated via IEEE 14-node case study.
Keywords: active distribution system; distributed generation; power supply capacity evaluation; sensitivity analysis (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: 2017
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Citations: View citations in EconPapers (2)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:10:y:2017:i:10:p:1473-:d:112993
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