基于多目标蚁群算法的水电站AGC机组组合与负荷分配优化  

AGC Unit Combination and Load Distribution Optimization of Hydropower Station Based on Multiple-objective Ant Colony Method

作　　者：蔡杰[1] 陈意[1] 花胜强[1] CAI Jie CHEN Yi HUA Shengqiang(Nanjing Nari Group Company （State Grid Electric Power Research Institute） , Nanjing 210003, China)

机构地区：[1]南瑞集团公司(国网电力科学研究院),南京210003

出　　处：《西北水电》2017年第1期58-61,共4页Northwest Hydropower

摘　　要：针对水电厂自动发电控制功能中的机组组合与负荷分配问题,采用多目标蚁群算法,同时以穿越振动区次数最少和耗水量最低为目标,优化AGC机组组合、启停次序及负荷分配,实现循环迭代计算。仿真结果表明,该方法可以使水电站AGC功能同时获得经济运行与穿越振动区次数的最优决策。Aiming at the unit combination and the load distribution in the automatic power generation control function of the hydropower stations, the multiple-objective ant colony method is applied. Meanwhile, AGC unit combination, start/stop sequence and load distribution are optimized with objectives of minimum times of crossing the vibration zone and minimum water consumption. The iterative calculation is realized as well. The simulation results show that this method can have AGC function get the optimum strategy with the economic operation and the times of crossing vibration zone simultaneously.

关 键 词：多目标蚁群 自动发电控制 水电站 

分 类 号：TM761[电气工程—电力系统及自动化] TM714