Open Access

ARTICLE

The Study of Long-Term Trading Revenue Distribution Models in Wind-Photovoltaic-Thermal Complementary Systems Based on the Improved Shapley Value Method

Dongfeng Yang, Ruirui Zhang, Chuang Liu^*, Guoliang Bian
School of Electrical Engineering, Northeast Electric Power University, Jilin, 132012, China
* Corresponding Author: Chuang Liu. Email:

Energy Engineering https://doi.org/10.32604/ee.2025.062154

Received 11 December 2024; Accepted 12 February 2025; Published online 24 April 2025

Abstract

Under the current long-term electricity market mechanism, new energy and thermal power face issues such as deviation assessment and compression of generation space. The profitability of market players is limited. Simultaneously, the cooperation model among various energy sources will have a direct impact on the alliance’s revenue and the equity of income distribution within the alliance. Therefore, integrating new energy with thermal power units into an integrated multi-energy complementary system to participate in the long-term electricity market holds significant potential. To simulate and evaluate the benefits and internal distribution methods of a multi-energy complementary system participating in long-term market transactions, this paper first constructs a multi-energy complementary system integrated with new energy and thermal power generation units at the same connection point, and participates in the annual bilateral game as a unified market entity to obtain the revenue value under the annual bilateral market. Secondly, based on the entropy weight method, improvements are made to the traditional Shapley value distribution model, and an internal distribution model for multi-energy complementary systems with multiple participants is constructed. Finally, a Markov Decision Process (MDP) evaluation system is constructed for practical case verification. The research results show that the improved Shapley value distribution model achieves higher satisfaction, providing a reasonable allocation scheme for multi-energy complementary cooperation models.

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Keywords

Multi-energy complementary system; cooperative game; enhancements to the Shapley value; MDP indicators

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