Title: Simulation study on electric loss assessment model in solar power generation

Authors: Chongyu Cui; Zhaoxia Li; Xiaoyan Jiang

Addresses: Tibet Agricultural and Animal Husbandry University, Nyingchi, Tibet 86000, China ' Tibet Agricultural and Animal Husbandry University, Nyingchi, Tibet 86000, China ' Tibet Agricultural and Animal Husbandry University, Nyingchi, Tibet 86000, China

Abstract: In order to solve the problem of insufficient adaptive optimisation ability and insufficient evaluation accuracy when faced with a large number of calculations of existing solar power loss evaluation methods, a power loss evaluation model based on fuzzy information fusion is proposed. Through the comprehensive power quality index parameters, the output characteristic value of the power loss evaluation in solar power generation is obtained, and the power loss fuzzy control is performed. The power loss evaluation relationship in energy generation is extracted, and the power loss quality information fusion in solar energy generation is completed. Combined with the association rule constraint reconstruction, the power loss evaluation model of solar power generation is constructed. The simulation results show that the accuracy of power loss assessment is high, and the degree of information fusion is good, which improves the quality of solar power generation.

Keywords: solar power generation; power loss; fuzzy information fusion; association rules.

DOI: 10.1504/IJCIS.2023.130916

International Journal of Critical Infrastructures, 2023 Vol.19 No.3, pp.248 - 260

Received: 11 Aug 2020
Accepted: 07 Apr 2021
Published online: 14 May 2023 *

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