考虑储能装置风电场的动态经济调度  

Dynamic Economic Dispatch of Grid-Connected Wind Farm with Energy Storage Device

作　　者：王魁[1] 张步涵[1] 胡永强[2] 

机构地区：[1]湖北省电力安全与高效重点实验室(华中科技大学),湖北武汉430074 [2]华北电力大学电气与电子工程学院,河北保定071003

出　　处：《湖北工业大学学报》2011年第1期1-4,8,共5页Journal of Hubei University of Technology

基　　金：国家自然科学基金重点项目(50837003);国家重点基础研究发展计划973项目(2009CB219702)

摘　　要：在考虑储能装置风电场的动态经济调度问题中,如何将储能装置有效地体现在模型之中,充分发挥储能装置的作用是问题的关键.首先综合考虑风电波动与负荷波动情况,利用储能装置平滑系统功率,然后将平滑后的系统功率在火电机组之间优化分配,从而将本课题分解为两个子优化问题,建立了考虑储能装置风电场的动态经济调度模型.基于混沌粒子群优化算法,提出了动静结合罚因子、混沌扰动范围随迭代次数线性减小等改进措施.算例表明,所提出的动态经济调度模型合理,算法具有一定的实用性.Dynamic economic dispatch of grid-connected wind farm with energy storage device is studied.How to embody energy storage device in mathematic models effectively,and draw out its function,are keys to the problem.Firstly,considering wind power and loads fluctuations synthetically,energy storage device is controlled to smooth system power.The following task is to allocate system power among conventional generators optimally.Then the topic is resolved into two optimal problems.The dynamic economic model is proposed.Based on chaos particle swarm optimization algorithm,some improvements are introduced,such as combination of dynamic and static penalty factor,chaos disturbance range decreasing with iterations linearly,etc.Simulation results show the rationality of optimization model and practical value of proposed algorithms.

关 键 词：储能装置 动态经济调度 风电场 混沌粒子群优化算法 

分 类 号：TM732[电气工程—电力系统及自动化]