摘要
双碳目标背景下开展用户侧电力储能工作时,主要基于历史数据进行储能控制,对用户需求考虑不充分,使电力混合储能控制后的综合收益较低,因此提出双碳目标下用户侧混合储能控制方法。模拟众多的电力大功率需求场景,选择合适的场景树节点,得出用户侧混合储能负荷预测结果。考虑用户需求计算以最小电池损耗成本、最大经济效益为目标的混合储能控制目标函数,应用灰狼算法进行最优混合储能控制方案求解。在自抗扰控制器结构下,实现双碳目标下用户侧电力混合储能控制。实验结果表明:所提控制方法应用后储能电池在一日运行中,荷电状态始终在20%到90%之间,符合约束条件,满足储能发展的经济效益要求。
A user side hybrid energy storage control method under dual carbon goals is proposed in this paper.Simulate numerous scenarios of high power demand for electricity,select appropriate scenario tree nodes,and obtain the prediction results of mixed energy storage load on the user side.Considering user needs,calculate the hybrid energy storage control objective function with the goal of minimizing battery loss cost and maximizing economic benefits,and apply the Grey Wolf algorithm to solve the optimal hybrid energy storage control scheme.Under the structure of an active disturbance rejection controller,achieve hybrid energy storage control of user side power under dual carbon targets.The experimental results show that after the application of the proposed control method,the state of charge of the energy storage battery is always between 20%and 90%during a day of operation,which meets the constraint conditions.
出处
《工业控制计算机》
2023年第12期137-139,共3页
Industrial Control Computer
关键词
双碳目标
混合储能系统
储能控制
灰狼算法
控制器
dual carbon targets
hybrid energy storage system
dnergy storage control
grey wolf algorithm
controller