新能源柔直汇集系统的分层多目标优化控制策略研究

Research on Hierarchical Multi-objective Optimization Control Strategy on Renewable Energy Collection System

大规模新能源发电装置经交流母线汇集后接入电压源型换流站(VSC)构成了新能源柔直汇集系统。针对新能源柔直汇集系统中VSC控制参数难以整定,无法获得最优暂态和稳态控制性能的问题,文章提出用粒子群优化算法对VSC的控制参数进行优化整定,实现了对VSC内环和外环控制器参数的同时优化,得到了分层多目标优化控制策略。并以一个典型新能源柔直汇集系统为例,对传统控制和粒子群算法优化控制进行仿真对比。结果表明,相较于传统控制,粒子群算法优化控制具有更好的稳态和动态控制性能。

The large-scale renewable energy power generation device is connected to the voltage source converter(VSC)after being collected by the AC bus which form a renewable energy collection system interfaced with VSC-HVDC.Aiming at the problem that it is difficult to set the VSC control parameters in the renewable energy collection system and cannot obtain the optimal transient and steady-state control performance,this paper uses the particle swarm optimization(PSO)algorithm to optimize the VSC control parameters and realize the simultaneous optimization of the inner loop and outer loop controller parameters of VSC.Then the hierarchical multi-objective optimal control strategy is obtained.Taking a typical renewable energy collection system as an example,the traditional control and PSO control are compared.The results show that,compared with the traditional control,the PSO control has better steady-state and dynamic control performance.