出力受限风电场群有功分配多目标优化策略  

Multi objective optimization strategy on active power allocation of clustered wind farms with limited output

作　　者：崔杨[1] 冯鑫源[1] 王铮[2] 唐耀华[3] 严干贵[1] 

机构地区：[1]东北电力大学电气工程学院,吉林吉林132012 [2]国网甘肃省电力公司调度控制中心,甘肃兰州730030 [3]国网河南省电力公司电力科学研究院,河南郑州450052

出　　处：《可再生能源》2016年第11期1610-1616,共7页Renewable Energy Resources

基　　金：国家重点基础研究发展计划"973"项目(2013CB228201);国家自然科学基金项目(51207018);吉林省科技发展计划项目(20140101066JC)

摘　　要：受风电发展与电网建设、负荷分布不协调等因素影响,弃风限电问题日益严峻。文章提出一种适用于因限风导致出力受限的风电场群有功分配多目标优化策略,该策略采用二次移动平均法对风电功率进行超短期预测,以风电场群实际有功出力与出力限值的差额最小以及输送线路损耗最小为目标,同时考虑风电场输出功率约束、低预测功率约束、避免机组频繁启停约束条件,基于改进遗传算法对各风电场群分配有功出力任务。以东北某实际风电场群为例,对所提出策略的可行性进行了验证。Nowadays, the wind curtailment happens more frequently with uncoordinated development between wind power, power grid construction and load distribution. This paper proposed a multi-objective optimization strategy on active power allocation of clustered wind farms with limited output due to wind curtailment. The strategy used the second moving average method for ultra-short-term wind power prediction and took minimum lines loss of clustered wind farms and difference between actual active power and output limit as the objective, the strategy also considered some constraint conditions such as output power of wind farm, bottom prediction power and avoiding frequently starts or stops. Active power output for each wind farm was assigned by improved genetic algorithm. The feasibility of the proposed strategy was verified by the simulation case on an actual clustered wind farms in northeast province.

关 键 词：限风 风电场群 有功出力 优化分配 改进遗传算法 

分 类 号：TK81[动力工程及工程热物理—流体机械及工程]