计及储能寿命与调频性能的风储联合投标模型及算法

Joint Bidding Model and Algorithm of Wind-storage System Considering Energy Storage Life and Frequency Regulation Performance

风电与储能联合投标可有效应对风电的随机性,提高风电与储能的综合效益。文章针对电力市场环境下风储联合投标的模型与算法问题开展研究。首先,详细考虑储能电池循环寿命、风储联合调频性能、风储联合运行条件及电力市场方面的约束,建立风储联合参与电能量市场和调频市场的投标模型。然后,将所提模型转化为马尔科夫决策过程,并提出一种改进动态规划算法进行求解。该算法利用情景记忆避免对各个子问题的重复计算,可显著提高计算效率,并有效处理风储联合投标过程中出现的随机性、非线性、离散性问题和逻辑变量。最后,通过算例说明了所提方法的有效性。

The joint bidding of the wind power and the energy storage can effectively deal with the randomness of the wind power and improve the comprehensive benefit of the wind-storage system. This paper focuses on the model and algorithm of the joint bidding of the wind power and the energy storage in the electricity market. First, a bidding model for the wind-storage system to participate in the energy market and the frequency regulation market is established, in which the battery life, the frequency regulation performance, the operation conditions of the wind-storage system and the constraints in the electric market are considered. Secondly, the proposed model is transformed into a Markov decision process, and then solved by an improved dynamic programming algorithm. The episodic memory technique is used to avoid the repeated calculation of the sub-problems and improve the calculation efficiency. All the randomness, nonlinearity, discreteness and logical variables generated in the joint bidding of the wind-storage system can be handled by the proposed algorithm. Finally, case studies demonstrate the effectiveness of the proposed method.