基于A-SA-WOA算法的直流微电网全钒液流电池储能系统功率分配策略  

Power Allocation Strategy of DC Microgrid All Vanadium Redox Flow Battery Energy Storage System Based on A-SA-WOA Algorithm

作　　者：付华[1] 陆鹏[1] 张俊男[1] Fu Hua;Lu Peng;Zhang Junnan(Faculty of Electrical and Control Engineering Liaoning Technical University,Huludao 125105 China)

机构地区：[1]辽宁工程技术大学电气与控制工程学院,葫芦岛125105

出　　处：《电工技术学报》2023年第7期1826-1837,共12页Transactions of China Electrotechnical Society

基　　金：国家自然科学基金项目(51974151);辽宁省高等学校创新团队项目(LT2019007);辽宁省重点实验室项目(LJZS003)资助。

摘　　要：全钒液流储能系统能够平抑直流微电网中光伏、风力发电引起的功率波动,该系统中功率的合理分配问题可以通过有效的控制策略去解决,进而实现提高储能系统运行效率的目的。首先,在荷电状态和功率平衡的约束条件下,建立以储能系统总成本及平均损耗率最低,荷电状态均衡度最好的优化目标函数;然后,提出基于自适应权重和模拟退火策略的鲸鱼优化算法(A-SA-WOA)功率分配策略;最后,将分配策略应用在场景1和场景2算例下运行仿真,并与传统策略进行对比分析。结果表明,该优化分配策略有效地降低了储能电池单元的运行成本和折损率,电池充放电次数明显减少,且荷电状态一致性较好。A-SA-WOA分配策略比传统策略下的目标值收敛速度快,验证了所提优化方法的准确性和模型的适用性。The all-vanadium redox flow energy storage system can smooth the power fluctuations due to photovoltaic and wind power generation in the DC microgrid.The problem of reasonable power distribution in the system can be solved by an effective control strategy,to improve the operation efficiency of the energy storage system.The total cost of the energy storage battery unit determines the economic applicability of the battery,the loss rate of the energy storage battery can indirectly reflect the working efficiency of the energy storage battery unit,and the SOC consistency can reflect the effectiveness of the power distribution strategy.In this regard,we proposed a power distribution strategy for all vanadium flow battery energy storage system based on the whale optimization algorithm of adaptive weight adjustment and simulated annealing strategy.Firstly,under the constraints of charge state and power balance,the optimization objective function with the total cost of the energy storage system,the lowest average loss rate,and the best charge balance degree is established.Secondly,the adaptive adjustment of the weights-based whale optimization algorithm is used to allocate the optimal power of its energy storage unit.To find a better solution in the global optimization,the simulated annealing algorithm is introduced into the whale optimization algorithm iteration process;Finally,the simulation is run under scenario 1 and scenario 2 as examples.In Scenario 1,a fixed power of 220kW was used as the total power demand,and the priority level of charge and discharge of the energy storage unit was set.The lower the SOC value is,the higher the priority of the VRB energy storage unit is.The energy storage unit allocates power under different distribution strategies according to the priority level;In Scenario 2,the photovoltaic,wind power,total load and total energy storage power demand data of DC microgrid in a certain period were selected as test examples.The parameters of the optimization objective function are the same as in sc

关 键 词：自适应权重和模拟退火策略的鲸鱼优化算法(A-SA-WOA) 全钒液流电池 储能 系统 功率分配策略 多目标优化 

分 类 号：TM73[电气工程—电力系统及自动化]