Abstract：In order to reasonably distribute the power of each unit in the flywheel array energy storage system (FAESS), this paper proposed a coordinated control strategy that takes into account the efficiency of the array and the energy balance of the units. Firstly, a mathematical model was established for the loss optimization of the FAESS, and then use the time-varying weight particle swarm optimization algorithm (PSO) with equality constraints to optimize the efficiency of the array. As the efficiency curve of each flywheel unit is different, the output power distributed to each flywheel unit may vary greatly during the efficiency optimization process, resulting in a large imbalance of residual energy among the units. In this paper, different flywheel units adopted different output power allocation strategies according to their residual energy, units with high residual capacity works at their rated power, units with low residual capacity does not work, and the units with medium residual energy use the PSO algorithm to allocate the power. Compared with several traditional flywheel array power allocation strategies, the grouping based PSO algorithm can coordinate the residual energy balance of the unit and the efficiency of the array, increase the efficiency of the array and reduce the difference of the remaining energy among the units. Finally, a simulation model was built in Matlab/Simulink to verify the correctness of the algorithm.
任京攀, 马宏伟, 姚明清. 基于粒子群算法的飞轮阵列协调控制策略[J]. 电工技术学报, 2021, 36(zk1): 381-388.
Ren Jingpan, Ma Hongwei, Yao Mingqing. A Coordinated Control Strategy of Flywheel Array Based on Particle Swarm Optimization Algorithm. Transactions of China Electrotechnical Society, 2021, 36(zk1): 381-388.
[1] 陈柏翰, 冯伟, 孙凯, 等. 冷热电联供系统多元储能及孤岛运行优化调度方法[J]. 电工技术学报, 2019, 34(15): 3231-3243. Chen Bohan, Feng Wei, Sun Kai, et al.Optimization scheduling method of multi-energy storage and isolated island operation in cold, heat and power supply system[J]. Transactions of China Electro- technical Society, 2019, 34(15): 3231-3243. [2] 李建林, 郭斌琪, 牛萌, 等. 风光储系统储能容量优化配置策略[J]. 电工技术学报, 2018, 33(6): 1189-1196. Li Jianlin, Guo Binqi, Niu Meng, et al.The optimal allocation strategy of the solar energy storage system[J]. Transactions of China Electrotechnical Society, 2018, 33(6): 1189-1196. [3] 李建林, 袁晓冬, 郁正纲, 等. 利用储能系统提升电网电能质量研究综述[J]. 电力系统自动化, 2019, 43(8): 15-25. Li jianlin, Yuan Xiaodong, Yu Zhenggang, et al. Summary of research on energy storage system to improve power quality of power grid[J]. Automation of Electric Power Systems, 2019, 43(8): 15-25. [4] 李万杰, 张国民, 王新文, 等. 飞轮储能系统用超导电磁混合磁悬浮轴承设计[J]. 电工技术学报, 2020, 35(增刊1): 10-18. Li Wanjie, Zhang Guomin, Wang Xinwen, et al.Integration design of high-temperature super- conducting bearing and electromagnetic thrust bearing for flywheel energy storage system[J]. Transactions of China Electrotechnical Society, 2020, 35(S1): 10-18. [5] 张继元, 舒杰, 宁佳, 等. 考虑SOC自均衡的光储独立微电网协调控制[J]. 电工技术学报, 2018, 33(增刊2): 527-537. Zhang Jiyuan, Shu Jie, Ning Jia, et al.Coordinated control of optical storage independent microgrid considering SOC self-equilibrium[J]. Transactions of China Electrotechnical Society, 2018, 33(S2): 527-537. [6] Ma Hongwei, Ren Jingpan.A coordinated control strategy of flywheel array system for multi-objective optimization[C]//2019 22nd International Conference on Electrical Machines and Systems (ICEMS), Harbin, China, 2019: 1-5. [7] 余志强, 孙晓云, 邱清泉, 等. 电机外置式径向型高温超导飞轮储能系统样机悬浮测试及旋转实验[J]. 电工技术学报, 2019, 34(10): 2166-2175. Yu Zhiqiang, Sun Xiaoyun, Qiu Qingquan, et al.Prototype suspension test and rotation experiment of radial high temperature superconducting flywheel energy storage system with external motor[J]. Transactions of China Electrotechnical Society, 2019, 34(10): 2166-2175. [8] Jin Chenhui, Jiang Xinjian, Zhong Guobin, et al.Research on coordinated control strategy of flywheel energy storage array for island microgrid[C]//2017 IEEE Conference on Energy Internet and Energy System Integration, Beijing, 2017: 1-6. [9] 郭伟, 张建成, 李翀, 等. 针对并网型风储微网的飞轮储能阵列系统控制方法[J]. 储能科学与技术, 2018, 7(5): 810-814. Guo Wei, Zhang Jiancheng, Li Chong, et al.Control method of flywheel energy storage array system for grid-connected wind storage microgrid[J]. Energy Storage Science and Technology, 2018, 7(5): 810-814. [10] 金辰晖, 姜新建, 戴兴建. 微电网飞轮储能阵列协调控制策略研究[J]. 储能科学与技术, 2018, 7(5): 834-840. Jin Chenhui, Jiang Xinjian, Dai Xingjian.Coor- dinated control strategy of flywheel energy storage array in micro grid[J]. Energy Storage Science and Technology, 2018, 7(5): 834-840. [11] 刘平, 李树胜, 李光军, 等. 基于磁悬浮储能飞轮阵列的地铁直流电能循环利用系统及实验研究[J]. 储能科学与技术, 2020, 9(3): 910-917. Liu Ping, Li Shusheng, Li Guangjun, et al.An experimental study on metro DC energy recycling system based on magnetic levitation flywheel array[J]. Energy Storage Science and Technology, 2020, 9(3): 910-917. [12] 赵霁晴, 张建成, 宋兆鑫, 等. 基于飞轮储能阵列系统的分布式协调控制策略[J]. 华北电力大学学报(自然科学版), 2018, 45(6): 28-34. Zhao Jiqing, Zhang Jiancheng, Song Zhaoxin, et al.Distributed coordinated control strategy based on flywheel energy storage array system[J]. Journal of North China Electric Power University (Natural Science Edition), 2018, 45(6): 28-34. [13] Shi Changli, Wei Tongzhen, Tang Xisheng, et al.Charging-discharging control strategy for a flywheel array energy storage system based on the equal incremental principle[J]. Energies, 2019, 12(15): 2844. [14] 赵霁晴. 飞轮储能阵列中各单元运行控制方法研究[D]. 北京: 华北电力大学, 2019. [15] 吴静, 罗杨. 动态调整惯性权重的粒子群算法优化[J]. 计算机系统应用, 2019, 28(12): 184-188. Wu Jing, Luo Yang.Optimization of particle swarm optimization algorithm for dynamic inertia weight adjustment[J]. Computer Systems & Applications, 2019, 28(12): 184-188. [16] Zhang Yunfeng, Liu Xinxin, Bao Fangxun, et al.Particle swarm optimization with adaptive learning strategy[J]. Knowledge-Based Systems, 2020, 196(3): 105789. [17] 刘伟, 蔡前凤, 刘海林. 基于参数方程处理等式约束优化的粒子群算法[J]. 计算机工程与设计, 2008(3): 697-699. Liu Wei, Cai Qianfeng, Liu Hailin.Particle Swarm optimization based on parametric equations[J]. Computer Engineering and Design, 2008(3): 697-699. [18] 盛跃宾, 陈定昌, 穆森, 等. 有等式约束优化问题的粒子群优化算法[J]. 计算机工程与设计, 2006(13): 2412-2413, 2418. Sheng Yuebin, Chen Dingchang, Mu Sen, et al.Particle swarm optimization algorithm with equality constraint optimization problem[J]. Computer Engin- eering and Design, 2006(13): 2412-2413, 2418. [19] 杨博雯, 钱伟懿. 粒子群优化算法中惯性权重改进策略综述[J]. 渤海大学学报(自然科学版), 2019, 40(3): 274-288. Yang Bowen, Qian Weiyi.Review of inertia weight improvement strategies in particle swarm optimi- zation[J]. Journal of Bohai University (Natural Science Edition), 2019, 40(3): 274-288.
2021, Vol. 36 
