Multi-area interconnected power system is the effective method to utilize distributed energy resources and the new trend of smart grid. Load frequency control of multi-area interconnected power system is an important mean to guarantee the power quality and the security and economic operation of power system. According to the control requirements and the structure characteristics of interconnected network, this project investigates a distributed model predictive control strategy to design load frequency controller for the large-scale multi-area interconnected power system with constraints and internal interconnected dynamic. The contents include: The mathematical description framework is established for the distributed predictive load frequency control of multi-area interconnected power system; Distributed predictive load frequency control strategies for multi-area interconnected power system are investigated including coordination methods, distributed optimization techniques and predictive control algorithms design; The performance analysis method is established to analyze the convergence of the algorithm and the stability and robustness of the closed-loop system, which can ensure that the system has good communication and control performance; Experimental platform is built for the distributed model predictive load frequency control of multi-area interconnected power system to validate the proposed algorithms. This research can provide the effective theoretical guidance and technical support for the application of distributed model predictive control to the load frequency control of multi-area interconnected power system.
互联电力系统是实现分布式能源利用的有效途径,是智能电网发展的新趋势。多区域互联电力系统的负荷频率控制是保证供电质量及电力系统安全与经济运行的重要手段。本项目针对大规模、有约束和内部联系动态特征的多区域互联电力系统负荷频率控制问题,根据其控制需求和互联电网的结构特点,研究互联电力系统分布式预测负荷频率控制策略。主要研究内容包括:建立多区域互联电力系统分布式预测负荷频率控制的数学描述框架;研究多区域互联电力系统的分布式预测负荷频率控制策略,具体包括协调方案、分布式优化策略和预测控制算法设计;建立分布式预测控制闭环系统性能分析方法,分析算法的收敛性、闭环系统的稳定性和鲁棒性,确保系统具有良好的通信和控制性能;搭建互联电力系统网络化控制实验平台实现分布式预测负荷频率控制,对所设计的算法进行实验验证。本课题的研究为分布式预测控制在多区域互联电力系统负荷频率控制中的应用提供有效的理论指导和技术支持。
多区域互联电力系统的负荷频率控制是保证供电质量及电力系统安全与经济运行的重要手段。本项目针对大规模、有约束和内部联系动态特征的多区域互联电力系统负荷频率控制问题,根据其控制需求和互联电网的结构特点,建立了多区域互联电力系统分布式预测负荷频率控制的数学描述框架;研究了多区域互联电力系统的分布式预测负荷频率控制策略,具体包括协调方案、分布式优化策略和预测控制算法设计;建立了分布式预测控制闭环系统性能分析方法,分析了算法的收敛性、闭环系统的稳定性和鲁棒性, 确保系统具有良好的通信和控制性能。
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数据更新时间:2023-05-31
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