含积分风险的电网经济调度研究

Study on economic dispatch of power grid with integral risk

随着大规模风电机组的并网运行,风电的随机性和不确定性给含风电的电网调度带来新的挑战和要求。为了在电网调度中降低风电的随机性,文中采用逐时分析的方法来绘制风电机组的功率频率曲线,得到动态的风电功率密度分布函数。然后将该分布函数引入到电网调度中,建立含积分风险的电网调度模型。为了求解该调度模型,文中引入遗传算法对骨干粒子群算法进行改进,提出了改进的骨干粒子群算法。最后通过IEEE30系统对文中模型进行了验证,并对含风电电网调度的风险和成本进行了分析。

With the large-scale wind power grid connected operation, the randomness and uncertainty of wind power bring the new challenges and requirements to the power dispatching. In order to reduce the influence of random wind power in power dispatching, and the wind power of hourly probability curve is used through the method of time analy-sis in this paper, and the dynamic wind power probability distribution function （PDF） is obtained. Then, the PDF is introduced into the scheduling, and the grid scheduling model based on integral risk cost is established. In order to solve problem of dispatching model, this paper introduces mutation crossover to improve the bare-bone particle swarm optimization algorithm （I-BBPSO）. Finally, the rationality of the model is verified by IEEE30, and power dispatching with the risk and cost of the wind power dispatching are analyzed.