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作 者:张晓花[1,2] 朱昌平[2] 陈星莺[2] 马正华[1] 芮钧[3] 王雪[1]
机构地区:[1]常州大学信息科学与工程学院,江苏常州213164 [2]河海大学江苏省输配电装备技术重点实验室,江苏常州213022 [3]国网电力科学研究院,南京210003
出 处:《华东电力》2012年第7期1104-1107,共4页East China Electric Power
基 金:国家自然科学基金项目(51077043;10974044);江苏省输配电装备技术重点实验室开放基金(2011JSSPD10)~~
摘 要:针对梯级水电站与火电联合调度难度大、约束多的困难,考虑了节能、减排及梯级蓄能等三个目标,并引入模糊理论建立多目标水火电优化调度的模糊模型,采用最大化满意度指标法将多目标转化为单目标优化,然后通过遗传算法求解此问题。结果表明,相较于纯火电优化调度,梯级水火电调度能有效节约能源,减少污染气体排放;在此基础上多目标的水火优化调度比单目标的水火优化调度更能同时兼顾节能、减排及水电站的蓄能,达到社会综合效益最大化。The joint scheduling of cascade hydro-thermal power is difficult and multi-constrained, therefore a multiobjective fuzzy scheduling model is presented based on fuzzy theory, considering the three objectives: energy saving, emission reducing and cascade energy storage. The maximum satisfaction index method is adopted to reformulate the multi-objective problem into an optimized single-objective problem, which is solved by genetic algorithm. It has been demonstrated that the optimal scheduling of cascade hydro-thermal power can have better effects on energy saving and emission reduction than that of thermal power; the proposed multi-objective optimal hydro-thermal power scheduling model can take energy saving, the emission reduction and cascade energy storage into better account and achieve the maximized social comprehensive benefits than the single-objective scheduling.
分 类 号:TM71[电气工程—电力系统及自动化]
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