中国电机工程学报
中國電機工程學報
중국전궤공정학보
ZHONGGUO DIANJI GONGCHENG XUEBAO
2014年
1期
87-95
,共9页
申建建%程春田%李卫东%程雄%武新宇%蔡华祥%李秀峰
申建建%程春田%李衛東%程雄%武新宇%蔡華祥%李秀峰
신건건%정춘전%리위동%정웅%무신우%채화상%리수봉
短期%优化调度%时段耦合型约束%变尺度%水电站群
短期%優化調度%時段耦閤型約束%變呎度%水電站群
단기%우화조도%시단우합형약속%변척도%수전참군
short-term%optimal operation%temporal coupling constraints%mutative scale%hydropower plants
复杂时段耦合型约束是制约大规模水电短期优化调度高效求解的主要因素之一。提出了一种水电站群变尺度优化调度方法,旨在通过增大时段步长,以弱化甚至消除时段耦合型约束,进而提高算法搜索效率,改善优化调度质量。在求解过程中,首先将原问题转换为多个具有相同调度周期、相同目标和控制需求但不同步长的水电站群优化调度问题,并按照步长从大到小的顺序依次求解各问题,面临问题的初始解由前一阶段大步长问题的优化出力结果确定,直至完成最小步长问题即原问题的优化求解。所提方法通过云南电网水电站群仿真调度实例得到验证,与单一尺度优化方法相比,结果质量和计算效率均得到不同程度地改善。
複雜時段耦閤型約束是製約大規模水電短期優化調度高效求解的主要因素之一。提齣瞭一種水電站群變呎度優化調度方法,旨在通過增大時段步長,以弱化甚至消除時段耦閤型約束,進而提高算法搜索效率,改善優化調度質量。在求解過程中,首先將原問題轉換為多箇具有相同調度週期、相同目標和控製需求但不同步長的水電站群優化調度問題,併按照步長從大到小的順序依次求解各問題,麵臨問題的初始解由前一階段大步長問題的優化齣力結果確定,直至完成最小步長問題即原問題的優化求解。所提方法通過雲南電網水電站群倣真調度實例得到驗證,與單一呎度優化方法相比,結果質量和計算效率均得到不同程度地改善。
복잡시단우합형약속시제약대규모수전단기우화조도고효구해적주요인소지일。제출료일충수전참군변척도우화조도방법,지재통과증대시단보장,이약화심지소제시단우합형약속,진이제고산법수색효솔,개선우화조도질량。재구해과정중,수선장원문제전환위다개구유상동조도주기、상동목표화공제수구단불동보장적수전참군우화조도문제,병안조보장종대도소적순서의차구해각문제,면림문제적초시해유전일계단대보장문제적우화출력결과학정,직지완성최소보장문제즉원문제적우화구해。소제방법통과운남전망수전참군방진조도실례득도험증,여단일척도우화방법상비,결과질량화계산효솔균득도불동정도지개선。
The complicated temporal coupling constraints greatly restrict the solving of large-scale short-term hydro scheduling problems. A mutative scale optimization method was developed to efficiently treat these constraints. The method enlarged the time step of the original problem for weakening even eliminating the temporal coupling constraints. Its final purpose was to enhance the convergence speed of solution algorithm and improve the poor solutions of the problem. During the solution process, a series of optimization problems with same operational horizon, objective and demands but different longer time steps were first generated according to the original problem, and then solved in descending order of time step. The initial solution for each problem depended on the optimized power generation of last problem with longer time step. The whole process will not terminate until the original problem with the shortest time step was addressed. The optimization of hydropower system operation in Yunnan Power Grid was used to test the mutative scale method. The simulation operation results show that the proposed method is capable of producing better solutions and cost less time than conventional single-scale optimization method.