基于多目标合作博弈的储能平滑风功率运行控制策略  

Control Strategy of Energy Storage Smooth Wind Power Operation Based on Multi-objective Cooperative Game

作　　者：田博文 张志禹[1] TIAN Bowen;ZHANG Zhiyu(School of Electrical Engineering,Xi’an University of Technology,Xi’an 710048,China)

机构地区：[1]西安理工大学电气工程学院,西安710048

出　　处：《高电压技术》2023年第6期2546-2556,共11页High Voltage Engineering

基　　金：国家自然科学基金联合基金(U21A20485)。

摘　　要：为了平滑风电功率波动,针对现有的控制策略未考虑储能运行过程中多个目标之间的竞争冒险关系,基于合作博弈论提出了用于平滑风功率的多目标储能运行控制策略。模型预测控制(modelpredictivecontrol,MPC)中预测区间M的大小与储能运行策略有着密切联系。该研究以MPC中预测区间M为决策变量,探究其变化对风电平抑效果和储能控制策略的影响,并以此制定储能运行策略。首先建立了风-储联合发电系统模型,分析了储能运行过程中因M的改变导致目标函数间产生的合作博弈关系,其次改进了多目标哈里斯鹰算法(improved multi objective Harris hoptimizer,I-MOHHO)获取了沿所有目标均匀分布的Pareto最优前沿。最后在Pareto最优解集中选择一个M作为Pareto最优解嵌入到MPC中进一步滚动优化储能运行控制策略。结合储能运行成本的变化与传统控制策略对比分析,结果表明:1)M的改变对储能运行策略影响显著;2)考虑了合作博弈后的储能运行各项指标均得到了优化;3)基于多目标合作博弈的储能日运行成本降低了55.91%。In order to smooth wind power fluctuations,a multi-objective energy storage operation control strategy for smoothing wind power is proposed based on the cooperative game theory,for existing control strategies do not consider the competitive risk relationship between multiple objectives in the energy storage operation process.The size of prediction interval M in model predictive control(MPC)is closely related to the operation strategy of energy storage.The prediction interval M in MPC is taken as the decision variable to explore the impacts of its change on the wind power mitigation effect and the energy storage control strategy,and to formulate the energy storage operation strategy.Firstly,a wind-storage co-generation system model is established,and the cooperative game relationship between the objective functions due to the change of M during the operation of energy storage is analyzed.Secondly,the improved multi-objective Harris hawks optimizer(I-MOHHO)is used to obtain the Pareto optimal frontier with uniform distribution along all objectives.Finally,an M is selected in the Pareto optimal solution set as the Pareto optimal solution,and the optimal solution is embedded into the MPC to further optimize the control strategy of energy storage operation.Combined the change of energy storage operation cost with the traditional control strategy,the results show that,(a)the change of M has a significant impact on the energy storage operation strategy;(b)after the cooperative game is taken into account,all indexes of energy storage operation have been optimized;(c)the daily operation cost of energy storage based on multi-objective cooperative game can be reduced by 55.91%.

关 键 词：风电波动 储能运行策略 平滑风功率 多目标合作博弈 改进MOHHO算法 MPC预测区间 

分 类 号：TM614[电气工程—电力系统及自动化]