Weijie Wu, Dongwei Li, Hui Sun, 等. Fuzzy multi-criteria decision-making method-based operational assessment of Chinese electricity markets[J]. 全球能源互联网(英文), 2024,7(6):733-748.
Weijie Wu, Dongwei Li, Hui Sun, et al. Fuzzy multi-criteria decision-making method-based operational assessment of Chinese electricity markets[J]. Global Energy Interconnection, 2024, 7(6): 733-748.
Weijie Wu, Dongwei Li, Hui Sun, 等. Fuzzy multi-criteria decision-making method-based operational assessment of Chinese electricity markets[J]. 全球能源互联网(英文), 2024,7(6):733-748.DOI: 10.1016/j.gloei.2024.11.005.
Weijie Wu, Dongwei Li, Hui Sun, et al. Fuzzy multi-criteria decision-making method-based operational assessment of Chinese electricity markets[J]. Global Energy Interconnection, 2024, 7(6): 733-748.DOI: 10.1016/j.gloei.2024.11.005.
Fuzzy multi-criteria decision-making method-based operational assessment of Chinese electricity markets
The evaluation of the electricity market is crucial for fostering market construction and development. An accurate assessment of the electricity market reveals developmental trends
identifies operational issues
and contributes to stable and healthy market growth. This study investigated the characteristics of electricity markets in different provinces and synthesized a comprehensive set of evaluation indicators to assess market effectiveness. The evaluation framework
comprising nine indicators organized into two tiers
was constructed based on three aspects: market design
market efficiency
and developmental coordination. Furthermore
a novel fuzzy multi-criteria decision-making evaluation model for electricity market performance was developed based on the Fuzzy-BWM and fuzzy COPRAS methodologies. This model aimed to ensure both accuracy and comprehensiveness in market operation assessment. Subsequently
empirical analyses were conducted on four typical provincial-level electricity markets in China. The results indicate that Guangdong’s electricity market performed best because of its effective balance of stakeholder interests and adherence to contractual integrity principles. Zhejiang and Shandong ranked second and third
respectively
whereas Sichuan exhibited the poorest market performance. Sichuan’s electricity market must be improved in terms of market design
such that market players can obtain a fairly competitive environment. The sensitivity analysis of the constructed indicators verified the effectiveness of the evaluation model proposed in this study. Finally
policy recommendations were proposed to facilitate the sustainable development of China’s electricity markets with the objective of transforming them into efficient and secure markets adaptable to the evolution of novel power systems.