Multi-Level and Multi-Dimensional Evaluation of Loss Reduction Effectiveness Based on Q-Order Orthogonal Fuzzy Group Decision-Making

With the increasing demand for new energy integration, in order to optimize the stable operation of the power grid and improve the absorption capacity of new energy power generation, a multi-level and multi-dimensional evaluation method of loss reduction effectiveness based on Q-order orthogonal fuzzy group decision-making is proposed in this paper. This method considers the economy, technology, environmental protection, and other aspects of different market subjects to establish a multi-level multi-objective model, and uses a Q-order orthogonal fuzzy multi-attribute decision-making analysis method for multi-attribute decision-making problems. It not only reflects the interest demands of different subjects, but also considers the impact of the collaborative operation of multiple subjects in the market on the loss reduction optimization of the distribution network.

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Published
2025-05-23
DOI
https://doi.org/10.1109/etae65337.2025.11089634
Primary Topic
Advanced Data and IoT Technologies
Type
article
Field-Weighted Citation Impact
0.00

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Multi-Level and Multi-Dimensional Evaluation of Loss Reduction Effectiveness Based on Q-Order Orthogonal Fuzzy Group Decision-Making

Dongsheng Tang, Dongli Jia, Zezhou Wang, Yifeng Xie et al.
Advanced Data and IoT Technologies
article

Multi-Level and Multi-Dimensional Evaluation of Loss Reduction Effectiveness Based on Q-Order Orthogonal Fuzzy Group Decision-Making

Dongsheng Tang, Dongli Jia, Zezhou Wang, Yifeng Xie, Zhaoying Ren
article en

Abstract

With the increasing demand for new energy integration, in order to optimize the stable operation of the power grid and improve the absorption capacity of new energy power generation, a multi-level and multi-dimensional evaluation method of loss reduction effectiveness based on Q-order orthogonal fuzzy group decision-making is proposed in this paper. This method considers the economy, technology, environmental protection, and other aspects of different market subjects to establish a multi-level multi-objective model, and uses a Q-order orthogonal fuzzy multi-attribute decision-making analysis method for multi-attribute decision-making problems. It not only reflects the interest demands of different subjects, but also considers the impact of the collaborative operation of multiple subjects in the market on the loss reduction optimization of the distribution network.

North China Electric Power University (CN), Shanghai Electric (China) (CN), China Electric Power Research Institute
State Grid Corporation of China
Peace, Justice and strong institutions
Openalex Percentile: Top 82%
Advanced Data and IoT Technologies
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Multi-Level and Multi-Dimensional Evaluation of Loss Reduction Effectiveness Based on Q-Order Orthogonal Fuzzy Group Decision-Making — Dongsheng Tang, Dongli Jia, et al. · (2025) | TGRS Research Map | TGRS