含风电的电力系统动态经济调度模型  

A Dynamic Economic Dispatching Model for Power Grid Containing Wind Power Generation System

作　　者：张海峰[1] 高峰[1] 吴江[1] 刘坤[1] 

机构地区：[1]机械制造系统工程国家重点实验室(西安交通大学),陕西省西安市710049

出　　处：《电网技术》2013年第5期1298-1303,共6页Power System Technology

基　　金：国家自然科学基金项目(60974101;60736027;61221063)~~

摘　　要：电力系统的经济调度必须考虑风电的波动性和随机性带来的影响。引入概率约束,定义了风电场计划出力实现的概率,研究了含风电场的电力系统动态经济调度模型。通过计算下一调度日风电场实际出力的条件期望与计划出力的差值,确定了风电对系统正、负旋转备用的需求。利用分位数的概念,将含有概率约束的随机调度模型等价地转换为确定性模型。提出了一种改进的粒子群算法来求解转换后的确定性模型。仿真实验结果表明,这种含风电场的电力系统动态经济调度模型能有效应对风电接入引起的备用需求变化,所得的调度方案在保证系统可靠性的前提下能节省更多的成本。In power system economic dispatching the influences brought by fluctuation and randomness of wind power should be taken into account. Leading in probability constraints, the probability of implementing the scheduled output of wind farm is defined, and a dynamic economic dispatching （DED） model, in which the wind power is regarded as a random variable, for power grid containing wind farms is researched. By means of calculating the difference between the conditional expectation of actual wind farm output in next dispatch-day and the scheduled wind farm output, the demand of wind power on positive and negative spinning reserve is determined. Utilizing the concept of quantile, the random dispatching model containing probability constraints is transformed into an equivalent deterministic model. An improved particle swarm optimization （PSO） is put forward to solve the transformed deterministic model. Simulation results show that such a power system dynamic economic dispatching model can effectively cope with the change＇in demand of reserve due to the grid-connection of wind farm, and using the obtained dispatching scheme more cost can be saved under the premise of ensuring power system reliability.

关 键 词：风电 动态经济调度 旋转备用 概率约束 粒子群优化算法 

分 类 号：TM73[电气工程—电力系统及自动化]