多种群蚁群优化算法在大型水电站自动发电控制机组优化组合中的应用  

Application of Multi-colony Ant Optimization in Optimal Commitment of Automatic Generation Control Units in Large-Scale Hydropower Station

作　　者：王永强 周建中[1] 肖文[1] 王珍珍[1] 张勇传[1] 

机构地区：[1]华中科技大学水电与数字化工程学院,湖北省武汉市430074

出　　处：《电网技术》2011年第9期66-70,共5页Power System Technology

基　　金："十一五"国家科技支撑计划重大项目(2008BAB29B08);国家重点基础研究发展计划项目(973项目)(2007CB714107);水利部公益性行业科研专项(201001080)~~

摘　　要：为求解大型水电站自动发电控制(automatic generation control,AGC)机组优化组合问题,提出一种多种群蚁群优化算法。同时,综合考虑水量、电量平衡,水库、机组运行限制等多重安全生产约束条件,提出了一种流量—水头—出力的循环迭代策略确定时段动态水头,并引入基于机组启停优先顺序表的系统备用容量修补技术,使水电站AGC机组运行时达到最优。将所提算法应用于葛洲坝水电站AGC机组优化组合,与其他求解方法对比表明所提算法求解精度高,求解速度快,具有较强的工程实用价值。To solve the optimal commitment of AGC units in large-scale hydropower stations, a multi-colony ant optimization algorithm, which can prevent from premature convergence and improve the convergence precision, is proposed. Meanwhile, synthetically considering the balance of water and electric power and operational restraints of reservoir and generation units, a loop iteration strategy for flow rate-water head-power output is proposed to calculate dynamic water head of each time interval, and system reserve capacity repair technique based on priority sequence table of unit commitment is led in to optimize unit commitment of AGC units in hydropower station. The proposed algorithm is applied to unit commitment of AGC units in Gezhouba hydropower station, and the comparison of the optimal commitment of AGC units solved by the proposed method with the results by other methods shows that the proposed method possesses better global optimization ability, its calculation is faster and its solution is more accurate than other methods.

关 键 词：蚁群优化算法 自动发电控制 机组组合 水电站 

分 类 号：TM72[电气工程—电力系统及自动化]