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基于VCG机制和状态空间压缩的电力系统多重价值快速评估方法

A fast assessment method for multiple values of power systems based on VCG mechanism and state-space compression

  • 摘要: 随着高比例可再生能源加速渗透,传统火电、储能、可再生能源等不同类型电力市场主体在支撑电力系统及社会运行的核心属性层面已出现差异化特征,当前电力市场机制难以全面、准确量化不同市场主体在安全、绿色等维度的贡献。为解决上述问题,提出面向多类型主体的电力系统多重价值评估方法。构建涵盖经济价值、安全价值、环境价值的评估指标体系与测算模型,引入Vickey-Clarke-Groves(VCG)拍卖机制,基于电力系统主辅服务联合优化出清模型,通过替代效益量化各类型市场主体的多重价值。针对VCG框架计算负担重、安全约束机组组合(security-constrained unit commitment,SCUC)求解复杂度高的问题,提出基于时段解耦与状态空间压缩的并行求解加速算法。以改进IEEE-30和118节点系统进行算例验证,所提方法全面客观评估了各类型市场主体的多重价值和外部性,所提加速算法显著提升了混合整数线性规划问题的求解效率,并满足求解精度要求。

     

    Abstract: With the increasing penetration of renewable energy resources (RES), different types of electricity market entities, such as traditional thermal power, energy storage, and RES, have demonstrated distinct differentiated characteristics in terms of the core attributes of supporting the operation of power systems and society. To address the issue that the current electricity market mechanism struggles to comprehensively and accurately quantify the contributions of different market entities in dimensions such as safety and environmental friendliness, this paper proposes a multi-value evaluation method for power systems oriented towards multiple types of entities. Firstly, an evaluation index system and calculation model covering economic value, security value, and environmental value are established. The Vickrey-Clarke-Groves (VCG) auction mechanism is introduced, and based on the joint optimization clearing model of main and auxiliary services in power systems, the multiple values of various market entities are quantified through alternative benefits. Secondly, to tackle the problems of heavy computational burden in the VCG framework and high solving complexity of the security-constrained unit commitment (SCUC), a parallel solving acceleration algorithm based on time-period decoupling and state-space compression is proposed. Case studies are conducted on the modified IEEE 30-bus and IEEE 118-bus systems. The results demonstrate that the proposed method comprehensively and objectively evaluates the multiple values and externalities of various market entities, and the proposed acceleration algorithm significantly improves the solving efficiency of mixed-integer linear programming (MILP) problems while meeting the requirements of solving accuracy.

     

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