Open Access

ARTICLE

Comprehensive Evaluation of Distributed PV Grid-Connected Based on Combined Weighting Weights and TOPSIS-RSR Method

Yue Yang¹, Jiarui Zheng¹, Long Cheng^1,*, Yongnan Zhu², Hao Wu²

1 Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology, Ministry of Education (Northeast Electric Power University), Jilin, 132012, China
2 Siping Suburban Power Supply Company, State Grid Jilin Electric Power Co., Ltd., Siping, 136000, China

* Corresponding Author: Long Cheng. Email:

Energy Engineering 2024, 121(3), 703-728. https://doi.org/10.32604/ee.2023.044721

Received 07 August 2023; Accepted 03 November 2023; Issue published 27 February 2024

Abstract

To effectively quantify the impact of distributed photovoltaic (PV) access on the distribution network, this paper proposes a comprehensive evaluation method of distributed PV grid connection combining subjective and objective combination of assignment and technique for order preference by similarity to an ideal solution (TOPSIS)—rank sum ratio (RSR) (TOPSIS-RSR) method. Based on the traditional distribution network evaluation system, a comprehensive evaluation system has been constructed. It fully considers the new development requirements of distributed PV access on the environmental friendliness and absorptive capacity of the distribution grid and comprehensively reflects the impact of distributed PV grid connection. The analytic hierarchy process (AHP) was used to determine the subjective weights of the primary indicators, and the Spearman consistency test was combined to determine the weights of the secondary indicators based on three objective assignment methods. The subjective and objective combination weights of each assessment indicator were calculated through the principle of minimum entropy. Calculate the distance between the indicators to be evaluated and the positive and negative ideal solutions, the relative closeness ranking, and qualitative binning by TOPSIS-RSR method to obtain the comprehensive evaluation results of different scenarios. By setting up different PV grid-connected scenarios and utilizing the IEEE33 node simulation algorithm, the correctness and effectiveness of the proposed subject-object combination assignment and integrated assessment method are verified.

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Keywords

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