含随机风电出力及电网安全的电网调度策略研究  

Research on Grid Scheduling Strategy with Random Wind Power and Grid Security

作　　者：罗亦梅[1] 张里[2] 吴琛[3] 郝珑 

机构地区：[1]成都理工大学核技术与自动化工程学院,四川成都610059 [2]国网四川省电力公司技能培训中心,四川成都610072 [3]国网重庆市电力公司检修分公司,重庆400039 [4]国网保定供电公司,河北保定071000

出　　处：《四川电力技术》2016年第1期6-11,共6页Sichuan Electric Power Technology

基　　金：国家自然科学基金项目(50977059);国家电网公司科技项目--大规模风电并网调度运行支撑关键技术研究与应用

摘　　要：随着风电基地在中国北部和沿海地区大力建设,风电在电网中的比例不断提高,这对电力系统的经济调度运行提出新的考验。特别是风电的间歇性和波动性使得经济调度具有更多不确定性。将风速的概率模型和风机出力相结合,利用风电场出力的概率分布函数将风电场出力的随机模型转化为确定性模型,构建以机组的发电成本最小为目标函数,同时计及电网网络安全约束。在优化算法上,利用量子行为粒子群算法对模型进行求解,最后对调度模型进行敏感性分析。仿真结果表明,所提模型和方法是可行、有效的,具有一定的实用价值。Wind generation has attracted great attention with the increase of the capacity of large wind farms connected to power grid, thus it brings new challenges to economic dispatch of traditional power system. Especially, more uncertainties in eco- nomic dispatch are produced by the random variation of wind power output. The wind velocity probability model is combined with wind generator output, and the probability distribution function of wind power output is expressed by piecewise function. According to the cumulative distribution function of wind power, the stochastic optimization problem is transformed to a deter- ministic one. Minimizing the fuel cost of thermal generators is taken as objective functions, at the same time, the network se- curity constraints are considered. Finally, the effect of different load, shape parameter and scale factor of the scheduling re- subs are considered too. The effectiveness of the proposed method is verified by the results of calculation examples.

关 键 词：风力发电 经济调度 网络安全约束 置信水平 量子行为粒子群算法 

分 类 号：TM73[电气工程—电力系统及自动化]