电工技术学报  2021, Vol. 36 Issue (zk1): 381-388    DOI: 10.19595/j.cnki.1000-6753.tces.L90148
电能存储与应用 |
基于粒子群算法的飞轮阵列协调控制策略
任京攀, 马宏伟, 姚明清
北京理工大学自动化学院 北京 100081
A Coordinated Control Strategy of Flywheel Array Based on Particle Swarm Optimization Algorithm
Ren Jingpan, Ma Hongwei, Yao Mingqing
School of Automation Beijing Institute of Technology Beijing 100081 China
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摘要 针对飞轮阵列储能系统中各个单体的功率分配问题,提出一种兼顾飞轮阵列效率与飞轮单体能量均衡的协调控制策略。首先对飞轮阵列储能系统的损耗优化问题建立数学模型,然后采用带等式约束的时变权重的粒子群优化算法,对阵列的运行效率进行优化。由于不同飞轮的效率曲线不同,在效率优化过程中,各个飞轮单体分配到的输出功率可能会出现较大差异,导致阵列单体间剩余能量出现较大的不平衡。该文提出对不同剩余能量的飞轮单体采取不同功率分配策略的方式,令剩余容量高的单体额定功率工作,剩余容量低的单体不工作,而剩余容量中等的单体采用上述粒子群优化算法实现效率优化。与传统的飞轮阵列功率分配策略相比,这种基于分组的粒子群算法可以协调飞轮单体的剩余能量均衡与系统的运行效率之间的关系,在保证阵列保持高效率运行的同时,避免系统中各个单体之间剩余能量出现较大差异。最后在Matlab/Simulink中建立仿真模型验证了算法的正确性。
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关键词 飞轮阵列效率优化粒子群算法剩余能量均衡    
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.
Key wordsFlywheel array    efficiency optimization    particle swarm optimization    residual energy equalization   
收稿日期: 2020-06-30     
PACS: TM919  
基金资助:国家重点研发计划资助项目(2018YFB0905500)
通讯作者: 马宏伟 男,1982年生,讲师,硕士生导师,研究方向为大容量电力电子变换器与高性能电机控制。E-mail: mhw@bit.edu.cn   
作者简介: 任京攀 男,1997年生,硕士研究生,研究方向为最优化理论与方法。E-mail: rjp19@bit.edu.cn
引用本文:   
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.
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