基于改进蚁群算法的梯级水电站优化调度及竞价研究 

吕品 
(三峡大学 电气与新能源学院，湖北 宜昌 443000) 
 

摘 要： 针对电力市场中竞价制度和梯级水电站的特点，提出把梯级水电站作为一个发电实体在电力市场中统一竞价，并整体安排各级水电站的生产调度运行。考虑多个约束条件，建立了一个合理的梯级水电站调度模型。提出引用Metropolis 判据改进蚁群算法，修正了蚁群算法在复杂多维问题中的停滞问题，并用此算法求解调度模型。通过对松江河梯级水电站进行实例仿真，验证了改进后的蚁群算法的准确性，并指出了该调度模型的优点与不足。
关键词： 梯级水电站；优化调度；改进蚁群算法；Metropolis 判据
中图分类号：TM622 文献标识码：A 文章编号：1007-3175(2014)11-0047-05

Research of Optimal Dispatching and Bidding for Cascade Hydropower Stations Based on Improved Ant Colony Algorithm 

LV Pin 
（Electrical Engineering and New Energy College, China Three Gorges University, Yichang 443000, China） 
 

Abstract: Aiming at the characteristics of bidding institution and cascade hydropower stations, this paper proposed that the cascade hydropower stations were taken as a united generation company in electricity market for optimal dispatching and profits. Multiple constraints were considered to build a reasonable dispatching model for cascade hydropower stations in electricity market. The criterion of Metropolis was quoted into the ant colony algorithm for correcting the problem of stagnating in ant colony algorithm and the algorithm was used for dispatching model. Via the example simulation of Songjianghe cascade hydropower stations, accuracy of the improved ant colony algorithm was verified and the advantages and disadvantages of the constructed models were pointed out.
              Key words: cascade hydropower stations; optimal dispatching; improved ant colony algorithm; Metropolis criterion

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