中国电力2025，Vol.58Issue(7)：105-114,10.DOI:10.11930/j.issn.1004-9649.202408081
考虑需求侧响应的互联电力系统分布式模型预测频率控制
Distributed Model Predictive Frequency Control of Interconnected Power Systems Considering Demand Response
摘要
Abstract
The new type of power system is facing the problem of increasing risk of frequency instability due to reduced inertia and decreased frequency regulation capacity.As a flexible frequency regulation technology,demand response(DR)has become an important means to solve the frequency instability of power systems.Firstly,a frequency stability analysis and load frequency control(LFC)model for demand-side resources participating in frequency regulation of interconnected power systems are established.Secondly,a distributed model predictive control(DMPC)algorithm for demand-side resources participating in frequency regulation of interconnected power systems is designed.The prediction model of DMPC controlling DR to participate in frequency regulation of interconnected power systems is derived,and then the frequency regulation controller of DMPC for interconnected power systems is designed.Finally,the impact of automatic generation control mode,DR mode,DR capacity and DR communication delay on system frequency stability is analyzed through simulation.Simulation examples show that the designed frequency regulation controller has good frequency regulation performance and DR can enhance the system's frequency transient stability.关键词
需求侧响应/负荷频率控制模型/分布式模型预测控制/互联电力系统Key words
demand response/load frequency control model/distributed model predictive control/interconnected power system引用本文复制引用
张博航,戚军,谢路耀,张有兵,张博扬..考虑需求侧响应的互联电力系统分布式模型预测频率控制[J].中国电力,2025,58(7):105-114,10.基金项目
浙江省科技计划项目(300kW大功率组串式光伏并网逆变器-320kW超高功率密度智能组串式光伏逆变器开发与应用,2023C01228) （300kW大功率组串式光伏并网逆变器-320kW超高功率密度智能组串式光伏逆变器开发与应用,2023C01228）
国家自然科学基金资助项目(基于海量柔性资源在线识别的自组织市场机制与灵活响应方法研究,U22B20116). This work is supported by the Science and Technology Plan Project of Zhejiang Province(Development and Application of 300 kW High-Power String Photovoltaic Grid Connected Inverter-320 kW Ultra-High Power Density Intelligent String Photovoltaic Inverter,No.2023C01228),National Natural Science Foundation of China(Research on Self-organizing Market Mechanism and Flexible Response Method based on Online Recognition of Massive Flexible Resources,No.U22B20116). （基于海量柔性资源在线识别的自组织市场机制与灵活响应方法研究,U22B20116）
