含风电场电力系统动态优化潮流的混合蛙跳算法

SFL Algorithm Based Dynamic Optimal Power Flow in Wind Power Integrated System

根据无功补偿就近的原则,风电场尽量不从系统吸收无功,风电场所需无功主要由风电场无功补偿装置提供。考虑发电机的阀点效应和异步风力发电机组无功补偿装置投切的离散性,含风电场的电力系统动态优化潮流属于复杂的多约束混合整数非凸非线性规划问题。计及各个时间断面的耦合性,将所有时段统一进行优化,以整个时段所有常规机组费用最小为目标函数,建立了含风电场电力系统动态优化潮流的数学模型。提出将混合蛙跳(SFL)算法应用到统一考虑所有时段的动态优化潮流计算中,给出了具体实现方法。在改进的IEEE30节点系统中分别采用SFL算法和粒子群优化算法进行了仿真计算,结果表明所提出的方法是有效的。

According to the principle that reactive power should be compensated locally, the reactive power needed by a wind farm should be provided by the wind farm reactive compensation devices as much as possible. By considering the valve-point effect of conventional generators and the discreteness of asynchronous wind turbine reactive compensation devices, the dynamic optimal power flow （DOPF） of the wind power integrated system is a typical complex multi-constrained mixed-integer non-convex and non-linear programming problem. The coupling between different stages is taken into account and the minimum cost of all conventional units in the whole stage is set as the objective function to establish a model for DOPF of the wind power integrated system. A novel shuffled frog leaping （SFL） algorithm is used to solve the DOPF problem and the detailed realization of this algorithm is given. Simulation results of the improved IEEE 30-bus system with the SFL algorithm are better than those of the particle swarm optimization （PSO） algorithm, which shows the effectiveness of the method proposed.