摘要
具备一定的备用容量是电力系统安全稳定运行的基础,但风电场并网后会增加系统的备用容量压力,因此需对考虑系统备用约束的风电场功率优化控制进行研究。在对风电机组降载运行模式的有功调节与备用能力分析的基础上,在满足系统备用等相关安全约束的前提下,建立了考虑风电机组降载运行的风电场功率优化控制数学模型,并提出了改进的遗传粒子群融合模型求解算法。通过风电场功率优化控制算例的对比分析,表明方法能在保证稳定运行的基础上更好地提高电力系统运行的经济性。研究成果可为风电场的功率优化控制及电力系统的经济稳定运行提供有效的技术指导。
Having a certain reserve capacity is the basis for the safe and stable operation of the power system,but the grid connection of wind farms will increase the pressure on the system’s spare capacity,it is,therefore,necessary to study the optimal control of wind farm power considering the system reserve constraints.Based on the analysis of active power adjustment and reserve capacity of wind turbines under load reduction operation mode,a mathematical model of wind farm power optimization control considering the reduction of load operation of wind turbines under the premise of satisfying relevant safety constraints such as system standby was established.An improved genetic particle swarm fusion model solving algorithm was proposed,and the comparative analysis of wind farm power optimization control examples shows that the method can better improve the economic efficiency of power system operation on the basis of ensuring stable operation.The research results can provide effective technical guidance for power optimization control of wind farms and economic and stable operation of power systems.
作者
杜强
Du Qiang(CGN New Energy Anhui Co.,Ltd.,Hefei Anhui Co.,Ltd.,Hefei Anhui 230000,China)
出处
《电气自动化》
2022年第2期15-17,共3页
Electrical Automation
关键词
风电场
功率优化
降载运行
遗传算法
粒子群算法
wind farm
power optimization
de-loading operation
genetic algorithm
particle swarm optimization
