基于储能SOC优化控制的风储电站实时跟踪发电计划控制策略

随着风力发电的快速发展,提高风力发电的可调度性受到了越来越多的关注。针对目前跟踪发电计划控制策略存在的问题,研究基于储能SOC优化控制的风储电站实时跟踪发电计划控制策略,提出保证在误差允许范围内实时跟踪发电计划的前提下,以降低储能系统电量波动范围和放电深度为控制目标、采用实时滚动优化方法的控制策略,建立了储能SOC优化控制模型,并采用基于动态规划的优化算法进行求解。最后以北方某风光储输联合发电示范工程中的实测数据为例编程仿真,并与普通控制策略对比分析,验证了本文方法的可行性与有效性。

Tracking Power Generation Real-Time Schedule Strategy for Wind Power and Battery Energy Storage Combined System Based on SOC Optimal Control of Battery Energy Storage

With the rapid development of wind power generation, improving the dispatch ability of wind power generation has received more and more attention. Aiming at the problems existing in the present strategy of tracking generation schedule, the real-time control strategy of tracking generation schedule for wind power and battery energy storage combined system based on state of charge (SOC) optimal control for battery energy storage was studied at first. The control target of reducing the energy fluctuation and depth-of-discharge of energy storage system under the premise of tracking generation schedule within the allowed range of error was then proposed. In the control strategy, the real-time rolling optimization was adopted, and the SOC optimal control model for energy storage is developed. The solution of this optimization problem was realized based on dynamic programming optimization algorithm. Finally, the measured data of a combined power generation demonstration project in the north of China are used to take as an example, and the simulation results of this example were compared with those of the general control strategy. The feasibility and validity of the proposed method were verified.