Reliability Research of Distribution Network with DG Based on Load Superiority Degree

LIU Xiaokang; ZHAGN Jing; LIU Chuanxiu; SONG Ziyang

Volume 35 Issue 1

Mar. 2021

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LIU Xiaokang, ZHAGN Jing, LIU Chuanxiu, SONG Ziyang. Reliability Research of Distribution Network with DG Based on Load Superiority Degree[J]. Journal of Shanghai University of Engineering Science, 2021, 35(1): 67-74.

Citation:

LIU Xiaokang, ZHAGN Jing, LIU Chuanxiu, SONG Ziyang. Reliability Research of Distribution Network with DG Based on Load Superiority Degree[J]. Journal of Shanghai University of Engineering Science, 2021, 35(1): 67-74.

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Reliability Research of Distribution Network with DG Based on Load Superiority Degree

1.
School of Electronic and Electrical Engineering, Shanghai University of Engineering Science, Shanghai 201620, China
2.
Shanghai Chenzhu Instruments Co., Ltd., Shanghai 201612, China

Received Date: 2020-09-15
Publish Date: 2021-03-30

Abstract

Abstract

In order to solve the problem that load weighting is arbitrary and the way of weighting is too single in the process of load reduction when the existing distribution network with distributed generation (DG) is operating in the island mode, a new weight weighting algorithm based on hierarchical entropy method was proposed. Firstly, the index system of load importance degree was established. Secondly, each index in the load was given subjective weight based on the analytic hierarchy process. Then, the entropy weight method was used to give objective weight to each index. On the one hand, the algorithm fully mines the objective information of the indicators, and on the other hand, it improves the diversity and synthesis of the weighting approaches.The correctness of the proposed algorithm was verified by an example evaluation of the reliability of the distribution network, which shows that the proposed algorithm has certain theoretical and practical value.
- distribution network,
- island model,
- analytic hierarchy process,
- entropy weight,
- comprehensive weight,
- reliability

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References(14)

References

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