计及网络阻塞影响的发电公司最优报价策略

在电力市场环境下发电公司要竞价上网，其最关心的问题是如何构造最优的报价策略以获取最大利润。输电系统容量不足所引起的阻塞问题可以起到分割市场的作用，从而改变发电公司在电力市场中所处的竞争位置，进而影响发电公司的最优报价策略。文中研究了计及输电网络阻塞影响情况下的发电公司的最优报价策略，在假设可用概率分布函数来描述竞争对手报价行为的基础上，系统地构造了描述这一问题的随机优化模型，并提出了基于蒙特卡罗仿真和遗传算法的求解方法。最后，用修改过的IEEEl4节点系统说明了所提出的方法的基本特征。

OPTIMAL BIDDING STRATEGIES FOR GENERATION COMPANIES WITH NETWORK CONGESTION TAKEN INTO ACCOUNT

In the electricity market environment, generation dispatch is bid-based rather than cost-based, and hence it has become a major concern for generation companies of how to build optimal bidding strategies. The deficiency of transmission capacity could lead to congestion, and as a result, the whole electricity market can then be actually divided into two or more submarkets. A direct consequence of transmission congestion is the change of competitive positions of generation companies concerned in the electricity market, and the optimal bidding strategies of them should accordingly be changed. In this work, the problem of developing optimal bidding strategies for generation companies in the electricity market environment with transmission network congestion taken into account is systematically investigated, and a stochastic optimization model is first formulated under the presumption that the bidding behaviors of rival generation companies can be modeled as normal probability distributions. An approach is next presented for solving the optimization problem using the well-known Monte Carlo simulation method and the genetic algorithm. Finally, the modified IEEE 14-bus system is employed to illustrate the essential features of the proposed model and method.