基于混合变量动态优化算法的含风电电力系统多目标动态优化调度  

Dynamic optimization dispatching of power system multi-objective containing wind power based on hybrid variable dynamic optimization algorithm

作　　者：傅利[1] 周步祥[1] 林虹江 王小红[1] 

机构地区：[1]四川大学电气信息学院,成都610065

出　　处：《电测与仪表》2015年第10期1-7,共7页Electrical Measurement & Instrumentation

摘　　要：由于风电功率具有随机性、不确定性等特点,从系统安全稳定运行的角度出发,文章综合考虑了机组的故障停运、负荷与风电的预测偏差这三种不确定因素,将概率性旋转备用用解析式表达,并将其引入到含风电场电力系统多目标多时段的动态优化调度模型及约束条件中。基于NSGA-II设计了一种0-1混合变量动态优化算法来求解该模型,该算法根据分层优化的方法处理整数混合变量,以达到同时实现机组启停与负荷分配的多目标优化;在求解过程中引入超前调度思想,对相邻时段约束耦合进行处理,从而实现多时段的动态优化调度。最后通过算例对模型进行仿真分析,仿真结果验证该模型的合理性和算法的有效可行性。Because the wind power has the characteristics of randomness and uncertainty, from the perspective of safe and stable operation, considering the three kinds of uncertain factors including fault shutdown of the unit, load and wind power prediction deviation, the probabilistic spinning reserve is expressed through the analysis formula, and brought into the dynamic optimization model and constraint condition of the wind power system in this paper.A mixed 0-1 variables optimization algorithm based on the NSGA-II is used to solve the model.The algorithm manages the inte-ger variables according to the hierarchical optimization method, in order to realize the multi-objective optimization of the unit start-stop and load distribution.The advanced dispatching idea is introduced in the solving process to deal with the constraint coupling, so as to realize the dynamic optimization of time scheduling.Finally, the simulation re-sults verify the rationality of the model and the effective feasibility of the algorithm.

关 键 词：NSGA-Ⅱ 旋转备用 混合变量动态优化算法 多目标动态优化调度 超前调度 

分 类 号：TM93[电气工程—电力电子与电力传动]