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September 10, 2025Processes1 citationsOpen Access

A Coordinated Operation Optimization Model for Multiple Microgrids and Shared Energy Storage Based on Asymmetric Bargaining Negotiations

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YWYao WangZTZhongfu TanXZXiaotong Zhou

Key Points

  • The model enhances collective operational efficiency by 44.69%, improving coordination among microgrids.
  • Initial cost and revenue models are established for microgrids and shared energy storage to support the optimization efforts.
  • An asymmetric pricing method addresses each entity's energy contribution, facilitating effective negotiation outcomes.
  • This coordinated operation strategy ensures fair distribution of cooperative benefits aligned with energy contributions.

Abstract

The promotion of local renewable energy consumption and stable power gird (the latter is referred to as PG) operation have emerged as the primary objectives of power system reform. The integration of multiple microgrids with distinct characteristics through the utilization of shared energy storage (the following is referred to as SES) facilitates coordinated operation. This approach enables the balancing of energy across temporal and spatial domains, contributing to the overall reliability and security of the energy network. The proposed model outlines a methodology for the coordinated operation of multiple microgrids and SES, with a focus on asymmetric price negotiation. Initially, cost and revenue models for microgrids and SES power plants are established. Secondly, an asymmetric pricing method based on the magnitude of each entity’s energy contribution is proposed. A profit optimization model is also established. The model can be decomposed into two distinct subproblems: the maximization of overall profit and the negotiation of transaction prices. The model can be solved by employing the alternating direction method of multipliers (ADMM). Finally, a series of case studies were conducted for the purpose of validating the operation optimization model that was previously constructed. These studies demonstrate that the model enhances collective operational efficiency by 44.69%, with each entity’s efficiency increasing by at least 12%. At the same time, cooperative benefits are distributed fairly according to each entity’s energy contribution.

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Cite This Study

Wang et al. (2025) studied this question.

synapsesocial.com/papers/68c1c24454b1d3bfb60f01adhttps://doi.org/10.3390/pr13082514
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