稳健性(进化)
控制理论(社会学)
模型预测控制
计算机科学
电力系统
鲁棒控制
状态空间表示
补偿(心理学)
光伏系统
控制工程
工程类
控制系统
功率(物理)
控制(管理)
生物化学
量子力学
心理学
基因
电气工程
物理
人工智能
算法
化学
精神分析
作者
Sergey Gorbachev,Jinrui Guo,Sergey Gorbachev,Li Li,Long Li,Chunxia Dou,Dong Yue,Zhijun Zhang
标识
DOI:10.1186/s41601-023-00325-7
摘要
Abstract In this paper, a cloud-edge-end collaboration-based control architecture is established for frequency regulation in interconnected power systems (IPS). A model predictive control (MPC)-based load frequency control strategy for the IPS with photovoltaic aggregation and energy storage systems under model uncertainty and communication delay is proposed. This can effectively overcome the issues of model uncertainty, random load perturbation and communication delay. First, a state space model for the IPS is constructed. To coordinate the frequency and contact line power fluctuation of the IPS, a robust controller based on the theory of MPC is then designed. Then, considering the communication delay of frequency response commands during transmission, a predictive compensation mechanism is introduced to eliminate the effect of delay while considering model uncertainty. Finally, simulation results verify the effectiveness and robustness of the proposed control strategy.
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