| 基于混合遗传——模拟退火算法的日前购电策略研究 |
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| 引用本文： | 王欣星,周晖.基于混合遗传——模拟退火算法的日前购电策略研究[J].水电能源科学,2007,25(5):149-153. |
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| 作者姓名： | 王欣星 周晖 |
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| 作者单位： | 北京交通大学,电气工程学院,北京,100044 |
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| 摘 要： | 采用混合遗传—模拟退火算法求解基于经济性与系统安全性为目的的日前购电优化数学模型。通过IEEE-30系统,实例验证混合遗传—模拟退火算法用于日前购电决策问题是可行的,同时与传统遗传算法比较表明,混合遗传—模拟退火算法结果较优。
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| 关 键 词： | 电力市场 日前购电决策 混合遗传-模拟退火 |
| 文章编号： | 1000-7709（2007）05-0149-05 |
| 修稿时间： | 2007-06-12 |
Study On The Day-Ahead Purchase Strategy Based On Hybrid Genetic/Simulated-Annealing Algorithm |
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| WANG Xinxing,ZHOU Hui.Study On The Day-Ahead Purchase Strategy Based On Hybrid Genetic/Simulated-Annealing Algorithm[J].International Journal Hydroelectric Energy,2007,25(5):149-153. |
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| Authors: | WANG Xinxing ZHOU Hui |
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| Affiliation: | School of Electric Eng. ,Beijing Jiao Tong Univ. ,Beijing 100044,China |
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| Abstract: | This paper presents a hybrid genetic/simulated annealing algorithm to solve the mathematic model of the day-ahead purchase strategy based on economics and security.It takes IEEE-30 node power system as an example and shows that the proposed algorithm is feasible.Comparison with classical genetic algorithm,the results obtained by the proposed method are much better. |
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| Keywords: | electricity market day-ahead purchase strategy hybrid genetic/simulated annealing |
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