| 引用本文: | 程启明,沈章平,张家领,吴浩强,程尹曼.基于MAS的多电力弹簧分布式协同控制策略[J].电力自动化设备,2024,44(1):111-118. |
| CHENG Qiming,SHEN Zhangping,ZHANG Jialing,WU Haoqiang,CHENG Yinman.Multi-electric spring distributed collaborative control strategy based on MAS[J].Electric Power Automation Equipment,2024,44(1):111-118. |
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| 摘要: |
| 为了解决单个电力弹簧无法满足整个微电网电能质量管理需求的问题，提升关键负荷的电压电能质量，依据多智能体系统，构建多电力弹簧分布式系统架构，采用离散一致性算法设计上层控制器，提出采用调制模型预测控制器设计下层控制器。MATLAB/Simulink仿真结果表明，当电网电压波动和非关键负荷变化时，采用所提分布式协同控制策略能够实现关键负荷电压稳定及系统频率快速整定，验证了所提分布式协同控制策略的正确性和有效性。并将所提调制模型预测控制策略与模型预测控制、比例积分控制策略进行仿真对比，验证了所提分布式协同控制策略的优越性。 |
| 关键词: 多电力弹簧 分布式协同控制 多智能体系统 离散一致性算法 调制模型预测控制 |
| DOI：10.16081/j.epae.202301017 |
| 分类号:TM71 |
| 基金项目:国家自然科学基金资助项目(61905139)；上海市电站自动化技术重点实验室项目(13DZ2273800) |
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| Multi-electric spring distributed collaborative control strategy based on MAS |
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CHENG Qiming1, SHEN Zhangping1, ZHANG Jialing1, WU Haoqiang2, CHENG Yinman3
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1.Shanghai Key Laboratory of Power Station Automation Technology, College of Automation Engineering, Shanghai University of Electric Power, Shanghai 200090, China;2.Pudong Power Supply Company, Shanghai Electric Power Company, Shanghai 200120, China;3.North Power Supply Company, Shanghai Electric Power Company, Shanghai 200072, China
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| Abstract: |
| In order to solve the problem that single electric spring can not meet the power quality management requirements of whole microgrid and improve the voltage power quality of critical load, a distributed system architecture of multi-electric springs based on multi-agent system is constructed. The upper controller is designed by discrete consistency algorithm, and the lower controller is designed by modulation model predictive control(MMPC). The simulative results based on MATLAB/Simulink verify that when the power grid voltage fluctuates and the non-critical load changes, the distributed collaborative control(DCC) strategy can achieve the voltage stability of the critical load and the rapid adjustment of the system frequency, which shows the correctness and effectiveness of the proposed DCC strategy. In addition, the proposed MMPC strategy is compared with model predictive control and proportional integral control strategies by simulation, which verifies the superiority of the proposed DCC strategy. |
| Key words: multi-electric springs distributed collaborative control multi-agent system discrete consistency algorithm modulation model predictive control |
