Power Generation Technology ›› 2025, Vol. 46 ›› Issue (2): 399-408.DOI: 10.12096/j.2096-4528.pgt.23142

• Novel Power System • Previous Articles    

Evaluation of Comprehensive Benefits of Electric Energy Substitution in Regional Power Grids Based on Improved Cloud Model

Yang ZHENG1, Yucheng REN2, Yuwei WANG1, Dingji XU1, Huimin YANG3   

  1. 1.Zhenjiang Power Supply Branch, State Grid Jiangsu Electric Power Company Limited, Zhenjiang 212002, Jiangsu Province, China
    2.State Grid Jiangsu Electric Power Company Limited, Nanjing 210019, Jiangsu Province, China
    3.School of Electrical Engineering, Southeast University, Nanjing 210096, Jiangsu Province, China
  • Received:2024-03-07 Revised:2024-05-10 Published:2025-04-30 Online:2025-04-23
  • Supported by:
    National Natural Science Foundation of China(62293500);Science and Technology Project of State Grid Corporation of China(5400-202318574A-3-2-ZN)

Abstract:

Objectives To address issues such as insufficient multi-dimensional coordination, incomplete quantification of environmental benefits, and the lack of dynamic feedback in evaluating the benefits of electric energy substitution in regional power grids, a dynamic evaluation method based on multi-source data fusion is proposed to enhance the decision-making accuracy of electric energy substitution projects. Methods A three-dimensional evaluation index system covering “supply-side optimization, demand-side transformation, and environmental emission reduction synergy” is established, identifying 21 indicators including cross-regional consumption capacity, electric substitution penetration rate, and pollutant reduction, thereby forming a multi-level quantitative evaluation framework. A coupling weighting strategy based on the entropy weight method and an improved rank correlation method is developed to balance subjective and objective weight deviations through linear weighting. A Bayesian dynamic cloud model is proposed, optimizing the hyper-entropy parameters of the cloud model by incorporating a Bayesian feedback mechanism to achieve dynamic correction of evaluation results. Results The proposed model can effectively quantify the comprehensive benefits of electric energy substitution, accurately identify shortcomings in cross-regional consumption and terminal substitution, and improve evaluation accuracy through the dynamic feedback mechanism, enhancing alignment with practical engineering. Conclusions This evaluation method overcomes the bottlenecks in traditional benefit evaluation, such as single-dimensional indicators, inaccurate weight allocation, and significant static deviations, providing a reference for improving the accuracy of electric energy substitution benefit evaluation.

Key words: new power system, new energy, low-carbon transition, carbon neutrality, regional power grid, electric energy substitution, Bayesian dynamic cloud model, comprehensive benefit evaluation, carbon emission

CLC Number: