节点文献

基于自适应粒子群算法的梯级小水电群优化调度研究

Research of optimum operation based on APSO for cascaded small hydropower stations

  • 推荐 CAJ下载
  • PDF下载
  • 不支持迅雷等下载工具,请取消加速工具后下载。

【作者】 罗云霞王万良周慕逊

【Author】 LUO Yunxia~(1,2),WANG Wanliang~1,ZHOU Muxun~3(1.Zhejiang University of Technology,Hangzhou 310014;2.Zhejiang College of Water Conservancy and Hydropower,Hangzhou 310018;3.Taizhou College,Zhejiang Taizhou 317000)

【机构】 浙江工业大学台州学院

【摘要】 针对以发电为主的梯级小水电群,以各水库的发电引用流量为决策变量,建立了以发电量最大为目标的梯级小水电群优化调度数学模型;设计了PSO算法和APSO算法的工程实现方法,具体包括编码设计、迭代方法设计以及惯性权重设计等;通过一个具有两库串联的梯级小水电群实例,将PSO算法和APSO算法的仿真寻优过程进行了比较,结果显示两种算法是有效的,并且APSO算法具有更强、更快的全局搜索能力;将APSO算法的仿真结果与同一条件下的GA算法的仿真结果进行了比较,结果显示APSO算法的仿真结果更优,更能充分利用水能资源。

【Abstract】 Optimization operation model is established for a cascaded samll hydropower stations,task of which is usually generating electricity.The objective of the model is maximal energy output,and the decision-making variable of the model is discharge of the hydropower stations.Realization method of PSO and APSO is designed including the code design,iterative algorithm design and inertia weight design,etc.By simulation operation of PSO and APSO for a two-cascaded small reservoir system,the optimization of searching process is compared,the arithmetic results are proved to be valid,moreover,the searching ability of APSO is better than PSO.Compared with the operation result of GA under the same conditions,the operation result of APSO is the better.

【基金】 国家自然科学基金项目(60374056);浙江省自然科学基金项目(Y505360)
  • 【文献出处】 水力发电学报 ,Journal of Hydroelectric Engineering , 编辑部邮箱 ,2008年04期
  • 【分类号】TV737
  • 【被引频次】27
  • 【下载频次】408
节点文献中: 

本文链接的文献网络图示:

本文的引文网络