摘要
为减小水电站日发电计划与实际运行的偏差,提出一种基于机组综合状态评价策略的大型水电站精细化日发电计划编制方法。依据机组综合运行状态评价策略,确定机组优先开停次序;考虑水量、水库库容、机组运行限制等多重安全生产约束条件,以发电量最大为目标建立大型水电站日发电计划精细化模型,将其分解为机组组合子问题和开机机组最优流量分配子问题;采用原始量子进化算法和实数差分量子进化算法循环嵌套求解,获得水电站精细化日发电计划最优解。将所提算法应用于葛洲坝水电站并与其他求解方法对比,结果表明所提精细化日发电计划编制方法求解精度高,优化效果好。
To reduce the deviation between daily generation plan and actual unit operation,based on comprehensive state estimation strategy of generating units a method to precisely schedule daily generation plan was proposed.According to comprehensive operation state estimation strategy for generating units,the preferential order to start up and shut down generating units was determined;considering multi constraints of safety production such as water flow,reservoir capacity,restraints of unit operation and so on and taking the maximum power output of the hydropower station as the objective,a precise daily generation plan model for large-scale hydropower station was built and decomposed into two subproblems,namely the unit commitment and the optimal flow distribution among the started units;then the original quantum evolution algorithm and real differential quantum evolutionary algorithm were employed to solve the two subproblems in nested loop mode to obtain the optimal solution of precise daily generation plan of large-scale hydropower station.Taking Gezhouba hydropower station as the research object,the proposed method was simulated and the simulation results were compared with the results by dynamic programming method.It was shown that the daily generation plan scheduled by the proposed method was more accurate than other method and the optimization effect of the proposed method was better.
出处
《电网技术》
EI
CSCD
北大核心
2012年第7期94-99,共6页
Power System Technology
基金
高等学校博士学科点专项科研基金资助项目(20100142110012)
国家自然科学基金青年科学基金(51109086)
国家自然科学基金(51079057)
水利部公益性行业科研专项(201001080)~~
关键词
日发电计划
机组
量子进化
水电站
daily generation plan
generating unit
quantum evolution
hydropower station
