Suzhou Electric Appliance Research Institute
期刊號: CN32-1800/TM| ISSN1007-3175

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基于改進蟻群算法的梯級水電站優(yōu)化調度及競價研究

來源:電工電氣發(fā)布時間:2016-04-06 14:06 瀏覽次數:15

基于改進蟻群算法的梯級水電站優(yōu)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(fā)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??紤]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(yōu)點與不足。
關鍵詞: 梯級水電站;優(yōu)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


參考文獻
[1] 呂清潔.含風/水/火電的電力系統動態(tài)經濟調度和節(jié)能調度[D].重慶:重慶大學,2012.
[2] 施展武,羅云霞,邱家駒. 基于Matlab 遺傳算法工具箱的梯級水電站優(yōu)化調度[J]. 電力自動化設備,2005,25(11):30-33.
[3] 楊春花,王先甲,陳炯宏.基于發(fā)電權交易的梯級水電站中長期優(yōu)化調度[J].武漢大學學報:工學版,2010,43(1):72-76.
[4] 梁偉,陳守倫,何春元,等.基于混沌優(yōu)化算法的梯級水電站水庫優(yōu)化調度[J]. 水電能源科學,2008,26(1):63-66.
[5] Basu M. An interactive fuzzy satisfying method based on evolutionary programming technique for multi-objective short-term hydrothermal scheduling[J].Electric Power Systems Research, 2004, 69(2):277-285.
[6] Kazarils S A, Bakirtzis A G, Petridis V.A genetic algorithm solution to the unit commitment problem[J].IEEE Transactions on Power Systems, 1996, 11(1):802-806.
[7] 付春梅.水火電優(yōu)化調度建模與算法研究[D].哈爾濱:哈爾濱工業(yè)大學,2011.
[8] 吳至復,曾鳴,劉寶華,等. 電力市場中的水火電優(yōu)化調度模型及其應用[J]. 電網技術,2006,30(15):45-49.
[9] 張強.考慮機組組合和電網安全約束的電力系統水火協調[D].南寧:廣西大學,2012.
[10] 韋化,李濱,杭乃善,等.大規(guī)模水-火電力系統最優(yōu)潮流的現代內點算法實現[J].中國電機工程學報,2003,23(6):13-18.
[11] 華揚松.火電廠實時發(fā)電成本分析與輔助報價研究[D].北京:華北電力大學,2006.