摘要
风电特有的间歇性和波动性,影响电网稳定运行。为减小风电波动对电网的影响,该文以平抑风电功率波动为目标,构建基于多步模型算法控制(model algorithm control,MAC)的混合储能平抑–定容双层规划模型。上层模型以储能最小出力和储能充放平衡为目标函数,采用MAC算法求解出混合储能总作用域;然后,提出考虑混合储能经济性的自适应滑动窗口调节方法,通过滑动平均滤波(moving average filter,MAF)将总作用域分解为蓄电池作用域和超级电容器作用域,使超级电容器作用于控制序列变化率较大的部分,蓄电池作用于控制序列的平滑部分。基于MAC-MAF作用域制定了储能运行策略。根据上层求解结果和储能运行策略建立了下层超级电容器和蓄电池容量最优配比模型,该模型以混合储能系统日均运行成本最低和最大化平抑风电波动为目标函数,采用多目标哈里斯鹰算法求解上述模型。以新疆某50MW风电场验证了所提策略的合理性及模型求解方法的有效性。
The wind power has its own intermittent and fluctuating characteristics, which affects the stable operation of the power grid. In order to reduce the influence of wind power fluctuation on the grid, this paper aims at suppressing wind power fluctuation, and constructs a dual level programming model of hybrid energy storage suppressing wind power fluctuation and determining capacity, which is based on multi-step model algorithm control(MAC). The upper model takes the minimum output of energy storage and the balance of storage charge and discharge as the objective function, and uses MAC to solve the total scope of hybrid energy storage, then, an adaptive sliding window adjustment method considering hybrid energy storage economy is proposed. The total scope is decomposed into battery scope and supercapacitor scope by moving average filter(MAF), which makes the super capacitor act on the part with large change rate of control sequence, and the battery acts on the smooth part of control sequence. Based on MAC-MAF scope, the energy storage operation strategy is formulated. According to the upper solution results and the energy storage operation strategy, the optimal ratio model of the capacity of the lower super capacitor and the battery is established. The model takes the lowest daily operating cost of the hybrid energy storage system as the objective function, the multi-objective Harris Eagle algorithm is used to solve the above model. The rationality of the proposed strategy and the effectiveness of the model solution method are verified by a 50 MW wind farm in Xinjiang.
作者
马兰
谢丽蓉
叶林
路朋
王凯丰
MA Lan;XIE Lirong;YE Lin;LU Peng;WANG Kaifeng(Engineering Research Center for Renewable Energy Power Generation and Grid Technology of Ministry of Education(Xinjiang University),Urumqi 830047,Xinjiang Uygur Autonomous Region,China;College of Information and Electrical Engineering,China Agricultural University,Haidian District,Beijing 100083,China;State Key Lab of Control and Simulation of Power Systems and Generation Equipments(Tsinghua University),Haidian District,Beijing 100084,China)
出处
《电网技术》
EI
CSCD
北大核心
2022年第3期1016-1026,共11页
Power System Technology
基金
国家自然科学基金项目(62163034)
新疆维吾尔自治区高校科研计划自然科学重点项目(XJEDU2020I004)
新疆维吾尔自治区研究生创新项目(XJ2021G057)。
关键词
风电波动平抑
模型算法控制
滑动平均滤波
储能运行策略
混合储能
wind power fluctuations mitigation
model predictive control
moving average filtering
energy storage operation strategy
hybrid energy storage
