大规模风电接入电网对电力调度运行提出了新的挑战。在中国部分地区,由于系统调峰能力不足,风电本地消纳能力不够,出现了低谷时段大量弃风的现象。为了优化利用风能资源,建立了大规模风电接入下的发电机组检修计划优化决策模型,考虑风电在不同季节的不同出力特征以及不同类型机组调峰能力的差别,通过在检修计划决策层面合理优化预留各时段系统的调峰能力,减少低谷时段弃风,提高检修计划决策的节能效益。采用δ方法,通过近似变换,将概率积分问题转化为混合整数规划问题求解。通过多个算例验证了该模型与方法的可行性与有效性。
New challenges are presented to power system with significant wind power penetration. In some regions of China, due to inadequate power system peaking capacity and local loads, a lot of wind power is wasted during valley load periods. To optimize the use of wind energy resources, a generation maintenance scheduling model with significant wind power penetration is presented, considering the different output characteristics of wind power in different seasons and different types of units with different peak capability. The waste wind during valley load periods is reduced and the energy efficiency is improved by reserving reasonable peaking capacity when maintenance is scheduled. An effective modeling method is designed, transforming the probability integration objective function into mixed-integer programming problem by δ method. The analysis and discussions on the results of numerical examples verify the feasibility and effectiveness of the model and method.