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电力系统分布式模型预测控制方法综述与展望
作者:
作者单位:

1.武汉大学电气与自动化学院,湖北省武汉市 430072;2.国网武汉供电设计院有限公司,湖北省武汉市 430033;3.国网浙江省电力有限公司台州供电公司,浙江省台州市 318000

摘要:

模型预测控制作为一类约束优化控制策略,在电力系统控制领域得到了广泛的应用,传统的集中式模型预测控制难以满足复杂互联电力系统的多目标优化、可靠性、实时优化等要求。分布式模型预测控制能够协同多个局部控制器实现全局优化或纳什优化。文中全面综述分布式模型预测控制在电力系统中的研究现状和发展方向。首先,按照控制结构对模型预测控制方法进行了分类和对比分析,接着重点阐述了非协作式和协作式2类分布式模型预测控制方法。然后,围绕分布式模型预测控制在不同应用场景进行分别综述和分析。最后,指出了分布式模型预测控制在电力系统控制应用的研究方向。

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基金项目:

国家电网公司科技项目(SGGSKY00FJJS1700300)。

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作者简介:


Review and Prospect on Distributed Model Predictive Control Method for Power System
Author:
Affiliation:

1.School of Electrical Engineering and Automation, Wuhan University, Wuhan 430072, China;2.State Grid Wuhan Power Supply Design Institute Co.,Ltd., Wuhan 430033, China;3.Taizhou Power Supply Company of State Grid Zhejiang Electric Power Co.,Ltd., Taizhou 318000, China

Abstract:

Model predictive control (MPC), as a constraint optimization control strategy, has been widely used in the power system control field, traditional centralized MPC is difficult to satisfy the requirements of multi-objective optimization, reliability and real-time optimization in complex interconnected systems. Distributed MPC can coordinate with multiple local controllers to achieve global optimization or Nash optimization. This paper summarizes the research status and development direction of distributed MPC in the power system. Firstly, the MPC methods are classified and compared according to the control structure, and the two kinds of non-cooperative and cooperative distributed MPC methods are emphasized. Then, the different application scenarios of distributed MPC are summarized and analyzed one by one. Finally, the research direction of distributed MPC in power system control is pointed out.

Keywords:

Foundation:
This work is supported by Foundation:State Grid Corporation of China (No. SGGSKY00FJJS1700300).
引用本文
[1]乐健,廖小兵,章琰天,等.电力系统分布式模型预测控制方法综述与展望[J/OL].电力系统自动化,http://doi. org/10.7500/AEPS20200212005.
LE Jian, LIAO Xiaobing, ZHANG Yantian, et al. Review and Prospect on Distributed Model Predictive Control Method for Power System[J/OL]. Automation of Electric Power Systems, http://doi. org/10.7500/AEPS20200212005.
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  • 收稿日期:2020-02-12
  • 最后修改日期:2020-07-16
  • 录用日期:2020-05-26
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