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Keywords

fixed cost recovery; capacity price; fuzzy clustering analysis; entropy weight method; user-side allocation

Abstract

With the continuous and rapid development of new energy represented by wind power and photovoltaic power generation, conventional fossil energy units face difficulties in recovering fixed costs, and the fixed costs of conventional units need to be recovered through capacity prices. However, the current capacity price allocation process does not take load rate-related factors into account, and the allocation results cannot reasonably reflect the actual power supply costs of users with different load rates, leading to unfair allocation of capacity costs among users. To address this issue, we first outline the industry classification methods for electricity users and the commonly used electricity consumption behavior indicators in China. Next, appropriate customer labels are selected, and the fuzzy clustering analysis model is applied. A comprehensive user-side capacity compensation allocation method based on the entropy weight method is then proposed, along with an allocation scheme that considers both payment ability and deviation in electricity consumption. Finally, through practical examples, the specific calculation process and allocation results of the allocation mechanism are demonstrated, verifying the rationality, fairness, and feasibility of applying this allocation mechanism among different types of users.

DOI

10.19781/j.issn.1673-9140.2025.06.028

First Page

281

Last Page

289

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