摘要
风-光互补发电系统是开放的、分布式系统,适合采用多Agent技术进行分散式决策、分散式控制。根据电压与无功功率和有功功率的关系,建立了考虑电压稳定的以有功损耗最小为目标的电压无功优化控制模型,并提出一种基于均匀设计和惰性变异的改进粒子群算法用于该模型的求解;建立了风-光互补发电系统电压控制系统的自动机模型。仿真实验显示,电压优化控制模型和改进的粒子群算法能够有效实现电压无功优化控制,电压控制系统的自动机模型能够及时跟踪电压变化,实现电压自动控制。
Wind-photovoltaic Hybrid Power System is an open distributed system. It is suitable to make decision and control dispersedly with multi-agent technology. According to the relation between voltage and reactive and active power, a voltage reactive optimization control model considering voltage stability with the least active power loss as objective is constructed, and an advanced Particle Swarm Optimization based on Uniform Design and Inertia Mutation is proposed to solve this model. In order to control voltage automatically, an automata model of voltage control system is made. The results of simulation experiments show that the voltage optimization control model and the advanced Particle Swarm Optimization are effective to voltage reactive power optimization control and the automata model of voltage control system can track the variety of voltage in time and control voltage automatically.
出处
《电力系统保护与控制》
CSCD
北大核心
2008年第16期5-10,共6页
Power System Protection and Control
基金
国家自然科学基金重点项目(60534040)
广东省自然科学基金自由申请项目(05001819)
广东工业大学博士启动基金(083011)~~
关键词
风-光互补发电
无功优化
电压控制
粒子群算法
wind-photovoltaic hybrid power generation
reactive power optimization
voltage control
particle swarmoptimization