基于改進蟻群算法的梯級水電站優化調度及競價研究
呂品
(三峽大學 電氣與新能源學院，湖北 宜昌 443000)
摘 要： 針對電力市場中競價制度和梯級水電站的特點，提出把梯級水電站作為一個發電實體在電力市場中統一競價，并整體安排各級水電站的生產調度運行。考慮多個約束條件，建立了一個合理的梯級水電站調度模型。提出引用Metropolis 判據改進蟻群算法，修正了蟻群算法在復雜多維問題中的停滯問題，并用此算法求解調度模型。通過對松江河梯級水電站進行實例仿真，驗證了改進后的蟻群算法的準確性，并指出了該調度模型的優點與不足。
關鍵詞： 梯級水電站；優化調度；改進蟻群算法；Metropolis 判據
中圖分類號：TM622 文獻標識碼：A 文章編號：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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