不确定多市场环境下基于序列运算的发电商容量分配策略

在多元化的电力市场中，发电商面临的关键问题是如何在合约交易、日前交易、辅助服务交易的竞争市场中分配有限的发电容量，从而获得最大效益。作者提出了不确定市场环境下发电商的一种容量分配方法，该方法应用序列运算理论(SOT)描述了不完全竞争的市场模型；引入经济学的效用函数来描述不同决策方案的效益；选择效益最大的方案作为有限发电容量的最优分配方案。以IEEE RTS为例，具体分析了发电商在合约市场、日前有功市场、旋转备用市场的容量分配问题。仿真结果表明所提出的方法能够合理地确定发电商的最优容量分配方案。

A Sequence Operation Theory Based Capacity Allocation Strategy for Generation Companies in Uncertain and Multi Electricity Markets

In a multilevel electricity market, one of the key issues that the generation companies have to be faced with is how to allocate their limited generation capacity among such markets as contract market, day-ahead market as well as ancillary service market to achieve maximized revenue. The authors propose a capacity allocation strategy for generation companies under uncertain market environment, in which the imperfect competition market model is well described by sequence operation theory (SOT) and the utility function in economics is led in to evaluate the utility of different decision-making schemes；and then the scheme with maximum utility is chosen as the optimal allocation scheme. Taking IEEE RTS 32-machine system for example, the allocation of generation companies’ capacity in contract market, day-ahead market and spinning reserve market is analyzed. Simulation results show that the proposed method can reasonably determine the optimal capacity allocation scheme for generation companies.