摘要
针对集中式接入的风电场,在升压变压站进行无功补偿优化配置。通过基于动态时间弯曲的层次聚类法分析风电功率整体变化特性,获得典型场景及其概率,并利用局部波动数值的概率分布来表征风电功率局部变化特性。在此基础上,建立二层规划模型,上层模型以年综合费用最小为目标函数,下层模型针对风电场全年的风电功率进行动态无功优化,达到兼顾经济性和运行可靠性的目的。采用遗传算法和原对偶内点法进行求解,并通过某实际风电场的仿真算例,验证所提出方法的可行性和有效性。
As for the integrated wind farm, the optimal configuration of reactive power compensation in the boost substation is studied. The hierarchical clustering method based on dynamic time warping technology is used to describe the overall fluctuation characteristics of wind power, and representative scenarios and their probabilities can be obtained. Moreover, the local fluctuation value and its corresponding probability distribution can describe the local fluctuation characteristics of wind power. Considering economy and operation reliability of the wind farm, a bi-level planning model is built. The minimization of annual total cost is taken as the upper level planning objective function, and the dynamic reactive power optimization model of the wind power is proposed in the lower level planning model. The model is solved by the genetic algorithm and the primal-dual interior point method, and the simulation results of an actual wind farm validate the feasibility and effectiveness of the strategy.
出处
《电力系统保护与控制》
EI
CSCD
北大核心
2018年第3期51-60,共10页
Power System Protection and Control
基金
国网北京经济技术研究院科技项目(ZZKJ-2016-05)“多种能源的互补优化调度技术研究”
关键词
风电场
无功补偿
聚类分析
典型场景
二层规划
动态无功
wind farm
reactive power compensation
clustering analysis
typical scenarios
bi-level planning
dynamicreactive power
