计及储能寿命与调频性能的风储联合投标模型及算法

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。

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

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.