Externality Value-Based Pricing Mechanism for Energy and Ancillary Service Markets

Yiyang Song, Tiance Zhang, Lin Wen, Jianxiao Wang, Dan Zeng, Lei Cui
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Abstract

The high proportion of renewable energy integration and the sharp fluctuation of load bring huge backup demand to the power system, which requires the auxiliary service of thermal power units to ensure the safety of the power system. However, the widely used marginal price mechanism is difficult to identify the externalities value of market members and the value of ancillary services provided by generators. To accurately identify the externality value of market members, the Vickey-Clarke-Groves (VCG) mechanism based on incremental costs was introduced. Compared with the marginal price mechanism, the VCG mechanism requires removing the generators sequentially and re-optimizing, which is computationally inefficient. An accelerated algorithm based on optimal base replacement is proposed, which uses the dual simplex method to perform optimal basis replacement based on the initial optimal basis to obtain the optimal solution of the new problem after removing generators. Case studies based on modified IEEE30-bus system demonstrate the significant improvement of the acceleration algorithm on the computational efficiency of the VCG mechanism.
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基于外部性价值的能源与辅助服务市场定价机制
可再生能源并网比例高,负荷波动剧烈,给电力系统带来巨大的后备需求,这就需要火电机组的辅助服务来保证电力系统的安全运行。然而,广泛使用的边际价格机制难以确定市场成员的外部性价值和发电机提供的辅助服务的价值。为了准确识别市场成员的外部性价值,引入了基于增量成本的维基-克拉克-格罗夫斯(VCG)机制。与边际价格机制相比,VCG机制需要依次移除发电机组并重新优化,计算效率较低。提出了一种基于最优基替换的加速算法,该算法利用对偶单纯形法在初始最优基的基础上进行最优基替换,以获得新问题去除发电机后的最优解。基于改进的ieee30总线系统的实例研究表明,该加速算法显著提高了VCG机构的计算效率。
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