考虑风电预测误差的电力系统有功实时调度  

Real-time Active Power Dispatch of Wind Integrated System Considering Wind Power Forecast Errors

作　　者：张文婷[1] 范立新[2] 顾文[2] 

机构地区：[1]东南大学电气工程学院,江苏南京210096 [2]江苏方天电力技术有限公司,江苏南京211102

出　　处：《江苏电机工程》2016年第1期11-15,共5页Jiangsu Electrical Engineering

基　　金：国家863高技术基金项目(2011AA05A105);国家电网公司重点科技项目(NY71-13-037)

摘　　要：针对风电预测误差对实时调度的影响,研究相应的实时调度策略,提出一种考虑风电预测误差的电力系统有功实时经济调度方法,优化缓冲机组出力。使用拉普拉斯分布描述风电预测误差随机分布特性,基于拉丁超立方采样的概率潮流方法求解系统有功潮流概率分布,以经济性最优与弃风最小为目标,引入机会约束条件,建立考虑风电预测误差的缓冲机组有功最优分配模型,并采用改进的遗传算法求解该机会约束规划模型。最后在IEEE24节点系统中验证了模型和方法的可行性,结果表明,在实时调度中考虑风电预测误差,能够保障系统的安全运行,提高系统接纳风电的能力。Considering the influence of wind farm forecast errors on real-time dispatch, this paper studies corresponding dispatch strategy. A real-time dispatch model to optimize the output of generators for wind power integrated system is proposed. In this model, forecast error is considered and Laplace distribution is used to describe the density function of wind power forecast errors. A chance constrained program based on probabilistic load flow is built using Latin sampling methods.An improved genetic algorithm is adopted to solve the chance constrained program model. Lastly, the simulation on IEEE24 system proves the viability of the model. It demonstrates that taking forecast errors into accounts can guarantee the power balance and load flow safety of system. Also, it is able to enhance the ability of accepting wind power for wind integrated system.

关 键 词：实时调度 风电预测误差 概率潮流 机会约束 改进的遗传算法 

分 类 号：TM614[电气工程—电力系统及自动化]