| 引用本文: | 林雪华,洪国巍,郭琦,等.基于改进MOPSO的MMC控制参数多机联合优化[J].电力系统保护与控制,2017,45(9):48-55.[点击复制] |
| LIN Xuehua,HONG Guowei,GUO Qi,et al.Multi-machine joint parameters optimization of MMC controller based on improved MOPSO[J].Power System Protection and Control,2017,45(9):48-55[点击复制] |
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| 摘要: |
| 在模块化多电平换流器中，控制系统性能对控制器参数依赖性很强。选择合适的控制参数需要大量的调试，严重影响了系统控制器的设计效率。首先分析了模块化多电平换流器控制策略，对控制系统进行了模块化划分。为了适应模块化多电平换流器控制参数优化，加入状态评估来动态适应运动参数，以改进多目标粒子群算法。将优化算法与电磁暂态仿真程序结合，利用电磁暂态仿真软件计算适应值。实现了Matlab优化程序调用PSCAD，仿真结果验证了该方法在模块化多电平换流器控制参数优化中的有效性。 |
| 关键词: 模块化多电平 控制参数优化 多目标优化 粒子群算法 进化状态 均匀实验设计 |
| DOI：10.7667/PSPC160656 |
| 投稿时间：2016-05-09修订日期：2016-08-03 |
| 基金项目:南方电网科技项目:大容量高电压柔性直流输电关键技术及工程应用研究(CSGTRC-K142031) |
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| Multi-machine joint parameters optimization of MMC controller based on improved MOPSO |
| LIN Xuehua,HONG Guowei,GUO Qi,LI Yan,XIE Guochao,LIU Chongru |
| (EPRI of China Southern Power Grid CSG Key Laboratory for Power System Simulation, Guangzhou 510080, China;North China Electric Power University State Key Laboratory for Alternate Electrical Power System with Renewable Energy Sources, Beijing 102206, China) |
| Abstract: |
| In modular multilevel converters, the performance of control system strongly depends on the control parameters. It requires a significant amount of testing and debugging to get proper control parameters, which seriously affects the efficiency of controllers. The control strategy of MMC is analyzed and the control system is divided based on the functions. In order to adjust the parameters optimization of MMC controller, the evolutionary state assessment to adjust the PSO parameters is involved, which is to improve the MOPSO algorithm. The electromagnetic transient simulation program is linked to the proposed improved MOPSO to give the results of the optimization objective. This paper realizes the joint invocation between PSCAD and Matlab program, simulation results proof the effectiveness of the proposed method in the parameters optimization of MMC controller. This work is supported by China Southern Power Grid Science and Technology Program:Key Technologies and Engineering Application Research of High-capacity VSC-HVDC (No. CSGTRC-K142031). |
| Key words: modular multilevel converter (MMC) optimizing parameters of controllers multi-objective optimization particle swarm optimization (PSO) evolutionary status uniform design |
