基于图论的光伏系统多功率模块优化控制策略OA
Optimal strategy for multi-power module control of photovoltaic system based on graph theory
针对光伏系统多功率模块存在的功率分配不均、母线电压易扰动等问题,基于图论设计一种光伏系统多功率模块优化控制策略,改善了传统下垂控制对多分支光伏系统调控的局限性.首先基于图论中的跟踪同步和协调同步理论构建一致性算法并设计光伏系统二次优化控制器;然后利用李雅普诺夫函数证明了所设计控制器的有限时间收敛稳定性;最后以3台容量相同的功率模块并联运行为例,进行仿真分析和实验验证.实验结果表明:所提优化控制策略能够使光伏系统直流母线侧电压在负载变化时快速恢复到额定值±5%的误差范围内(较传统下垂控制提速3倍),且具有更小的尖峰,相比传统下垂控制策略使各功率模块的输出电流偏差极大的降低(小于2%),有效实现了系统各功率模块的均衡分配.
In order to solve the problems of uneven power distribution and easy influence of DC bus voltage in multi-power modules of photovoltaic system,a optimal strategy for multi-power module control of photovoltaic system based on graph theory was designed which improves the limitations of traditional droop control on the regulation of multi-branch photovoltaic systems.Firstly,based on the theory of tracking synchronization and coordination synchronization in graph theory,a consensus algorithm was constructed,and a secondary optimization controller for photovoltaic system was designed.Then,the Lyapunov function was used to prove the finite time convergence stability of the designed controller.Finally,three power modules with the same capacity are taken as an example to run in parallel,and the simulation analysis and experimental verification were carried out.Experimental results showed that the proposed optimal control strategy can quickly restore the DC bus-side voltage of the photovoltaic system to within the error range of±5%of the rated value when the load changes(3 times faster than conventional sag control),and has smaller spikes,and compared with the traditional droop control strategy,the output current deviation of each power module is greatly reduced(less than 2%),and the balanced distribution of each power module of the system is effectively realized.
王艳敏;宁佳铭;张伟琦;王小永
哈尔滨工业大学电气工程及自动化学院,黑龙江 哈尔滨 150000哈尔滨工业大学电气工程及自动化学院,黑龙江 哈尔滨 150000哈尔滨工业大学电气工程及自动化学院,黑龙江 哈尔滨 150000哈尔滨工业大学电气工程及自动化学院,黑龙江 哈尔滨 150000
信息技术与安全科学
光伏系统图论优化下垂控制策略李雅普洛夫函数功率分配
photovoltaic systemgraph theoryoptimize the dropping control strategyLyapunov functionpower distribution
《华中科技大学学报(自然科学版)》 2026 (1)
14-20,7
国家自然科学基金资助项目(52238002,52277006)港口自发电集装箱码头智能微电网关键技术研究项目(2023-ZGKJ-ZDYF-03)哈尔滨市科技创新人才项目(RC2024DY395).
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