Electric Power ›› 2025, Vol. 58 ›› Issue (11): 62-71, 87.DOI: 10.11930/j.issn.1004-9649.202504063

• Research on Scheduling, Control and Reliability of Regional Integrated Energy Systems with High Proportion of New Energy • Previous Articles     Next Articles

Comprehensive Evaluation of Flexibility Resource Regulation Capability in New Energy Power Systems Based on Hybrid Multi-attribute Decision-making Methods

CAO Shuyi1(), TAO Hongzhu2, WANG Qiang3, LI Xiaofei4, WANG Leibao5, GUO Sen1()   

  1. 1. Department of Economics and Management, North China Electric Power University, Beijing 102206, China
    2. State Grid Corporation of China, Beijing 100031, China
    3. State Grid Hebei Electric Power Co., Ltd., Shijiazhuang 050021, China
    4. China Electric Power Research Institute, Beijing 100192, China
    5. State Grid Hebei Electric Power Company Electric Power Research Institute, Shijiazhuang 050021, China
  • Received:2025-04-25 Revised:2025-05-09 Online:2025-12-01 Published:2025-11-28
  • Supported by:
    This work is supported by National Social Science Foundation of China (No.25BJY021); Science and Technology Project of State Grid Corporation of China (No.5108-202218280A-2-299-XG).

Abstract:

A reasonable assessment of the regulation capability of flexibility resources is of importance for enhancing the flexibility of power systems and constructing new-type power systems with high proportions of renewable energy integration. An evaluation indicator system for the regulation capability of flexibility resources in renewable energy power systems is established from both economic and technical dimensions. Furthermore, a comprehensive evaluation model for the regulation capability of flexibility resources is constructed based on the entropy weight method and the MARCOS method. Finally, four typical flexibility resources are evaluated. The results indicate that ramp rates, timescale regulation capability, service life, and unit regulation range are key factors influencing the flexibility resource regulation capability; electrochemical energy storage demonstrates the best regulation performance, while gas-fired power generation exhibits the poorest. Empirical research and sensitivity analysis validate the effectiveness and feasibility of the proposed model.

Key words: flexibility resource, regulation capability entropy, new energy power system, weight method, MARCOS method