| 遗传算法在电力系统日有功优化调度中的应用 |
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| 引用本文： | 石琦,李承军,王金文.遗传算法在电力系统日有功优化调度中的应用[J].电力系统及其自动化学报,2002,14(2):56-59. |
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| 作者姓名： | 石琦 李承军 王金文 |
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| 作者单位： | 华中科技大学水电与数字化工程学院,武汉,430074 |
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| 摘 要： | 随着电力市场的不断深入，系统的有功优化调度在电力系统运行中占有越来越重要的地位。针对这一特点，本文提出了在多约束条件下，寻求全网经济效益最优的算法，先用遗传算法求解机组组合，再用等微增率法求解负荷的最优分配，在求解的过程中，采用不同听方法来处理各种约束条件。通过模拟系统的实例验算表明了所提出的算法十分有效。
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| 关 键 词： | 遗传算法 电力系统 日有功优化调度 |
| 修稿时间： | 2002年1月8日 |
THE APLICATION OF GENETIC ALGORITHM TO SHORT-TERM GENERATION SCHEDULING |
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| Shi Qi,Li Chengjun,Wang Jinwen.THE APLICATION OF GENETIC ALGORITHM TO SHORT-TERM GENERATION SCHEDULING[J].Proceedings of the CSU-EPSA,2002,14(2):56-59. |
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| Authors: | Shi Qi Li Chengjun Wang Jinwen |
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| Abstract: | With the in depth going of the electricity market the short term generation scheduling has become more and more important.Therefore,a simplified'two-steps'algorithm with several restrains for the objective is presented.The first step is to realize the optimization of unit commitment suing genetic algorithm method,the second step is to dispatch economic load in these units using equal derivation method,For the restrains,several different measures are used.Through the example of a model system,the efficacy of the proposed algorithm is demonstrated. |
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| Keywords: | electricity market optimization of unit commitment daily generation scheduling genetic algorithm |
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