节能发电调度下AGC机组优化调配的研究.pdfVIP

37 3 Vol37, No3 2010 5 Journal ofNorth China Electric Power University M ay, 2010 GC 孙 毅, 秦毓毅 (, 610041) : 节能发电调度对 GC机组优化调配提出了新的要求, 在新的调度模式下, GC机组调配应以能耗最 作为 目标首先建立了节能发电调度下 GC机组的优化调配模型, 考虑了系统网络约束对调配过程的影响, 并采用混 沌遗传算法对 GC机组的优化调配问题进行求解该方法利用混沌扰动抑制遗传算法的早熟, 加快了收敛速度, 降 了计算时间优化计算结果同时包含机组组合和负荷分配方案, 增强了方法的实用性 : 节能调度; GC机组; 混沌优化; 遗传算法 : TM 73; TP13 : : 1007- 2691 ( 2010) 03- 0021- 05 Chaotic genetic algorithm research on deploym ent of the AGC units under the energysaving dispatch SUN Y ,i QIN Yuyi ( Sichuan Electric Power Company D ispatch and Communication Center, Chengdu 610041, China) A b stract: New requirements on the optmi al deploymentof the GC unitswere put forward by energysaving dispatch. Under the new dispatch pattern, the goal should be them inmi um of the energy consumption. The mathematicmodel of the GC units deploymentwas established, and the influence of the system network constraintwas considered. novel chaos genetic algorithm was adopted in this paper to obtain the optmi al solution for the GC units deployment. Chaotic disturbancewas added in conventionalG algorithm to avoid trapping into localextrema, thus accelerating the speed of convergence and reducing the computation tmi e. The optmi alunit comm itment and dispatch are achieved smi ultaneously to enhance the practicality of thismethod. K ey w ords: energysaving dispatch; GC units; chaotic optmi ization; genetic algorithm , GC 0 [ 1, 2] , GC