基于Matlab与遗传算法的风电容量

Wind Power Capacity Based on Matlab and Genetic Algorithm

搭建了含励磁和调频系统的同步发电机以及随风速变化的异步发电机系统的数学模型和仿真模块,以新疆布尔津风电-水电互补网络为实例,对系统在风电容量渐增、突增两种情况下的动态稳定性进行了仿真,并将仿真结果与系统的实测运行情况进行了对比分析。仿真结果说明,系统逐步投入所有风电机组,系统稳定;若同时投入所有风电机组,系统失稳;仿真结果与实际运行情况基本吻合;从遗传算法的角度建立了求解风电容量的数学模型,编程计算了系统风电容量的最佳配置,计算结果表明当风电容量占系统总容量比例超过15.23%时,风-水电互补系统稳定性破坏,该结果从仿真分析得到了验证。

Based on Xinjiang Buerjin wind-water power network, mathematical model and the simulation module of wind-water power system are built up, which contains excitation and governor synchronous generator system and asynchronous generator system changing with the speed of wind, and the dynamic stability is simulated in these instances： wind generators cut-in gradually or cut-in all wind generators at the same time. The simulation results are compared with the actual running records. The simulation results indicate that the power system will be dynamic stable when generators cut-in one by one, and unstable when seven generators cut-in simultaneously. Based on genetic algorithm, mathematical models to calculate the wind power penetration are build up, the optimum wind power capacity is calculated. The results show that wind-water power system would be unstable when the wind power penetration optimization exceed 15.23%. And simulation analysis can validate it.