基于改進(jìn)蟻群算法的梯級(jí)水電站優(yōu)化調(diào)度及競(jìng)價(jià)研究 

呂品 
(三峽大學(xué) 電氣與新能源學(xué)院，湖北 宜昌 443000) 
 

摘 要： 針對(duì)電力市場(chǎng)中競(jìng)價(jià)制度和梯級(jí)水電站的特點(diǎn)，提出把梯級(jí)水電站作為一個(gè)發(fā)電實(shí)體在電力市場(chǎng)中統(tǒng)一競(jìng)價(jià)，并整體安排各級(jí)水電站的生產(chǎn)調(diào)度運(yùn)行?？紤]多個(gè)約束條件，建立了一個(gè)合理的梯級(jí)水電站調(diào)度模型。提出引用Metropolis 判據(jù)改進(jìn)蟻群算法，修正了蟻群算法在復(fù)雜多維問(wèn)題中的停滯問(wèn)題，并用此算法求解調(diào)度模型。通過(guò)對(duì)松江河梯級(jí)水電站進(jìn)行實(shí)例仿真，驗(yàn)證了改進(jìn)后的蟻群算法的準(zhǔn)確性，并指出了該調(diào)度模型的優(yōu)點(diǎn)與不足。
關(guān)鍵詞： 梯級(jí)水電站；優(yōu)化調(diào)度；改進(jìn)蟻群算法；Metropolis 判據(jù)
中圖分類號(hào)：TM622 文獻(xiàn)標(biāo)識(shí)碼：A 文章編號(hào)：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(xiàn)
[1] 呂清潔.含風(fēng)/水/火電的電力系統(tǒng)動(dòng)態(tài)經(jīng)濟(jì)調(diào)度和節(jié)能調(diào)度[D].重慶：重慶大學(xué)，2012.
[2] 施展武，羅云霞，邱家駒. 基于Matlab 遺傳算法工具箱的梯級(jí)水電站優(yōu)化調(diào)度[J]. 電力自動(dòng)化設(shè)備，2005，25(11)：30-33.
[3] 楊春花，王先甲，陳炯宏.基于發(fā)電權(quán)交易的梯級(jí)水電站中長(zhǎng)期優(yōu)化調(diào)度[J].武漢大學(xué)學(xué)報(bào)：工學(xué)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(jí)水電站水庫(kù)優(yōu)化調(diào)度[J]. 水電能源科學(xué)，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(diào)度建模與算法研究[D].哈爾濱：哈爾濱工業(yè)大學(xué)，2011.
[8] 吳至復(fù)，曾鳴，劉寶華，等. 電力市場(chǎng)中的水火電優(yōu)化調(diào)度模型及其應(yīng)用[J]. 電網(wǎng)技術(shù)，2006，30(15)：45-49.
[9] 張強(qiáng).考慮機(jī)組組合和電網(wǎng)安全約束的電力系統(tǒng)水火協(xié)調(diào)[D].南寧：廣西大學(xué)，2012.
[10] 韋化，李濱，杭乃善，等.大規(guī)模水-火電力系統(tǒng)最優(yōu)潮流的現(xiàn)代內(nèi)點(diǎn)算法實(shí)現(xiàn)[J].中國(guó)電機(jī)工程學(xué)報(bào)，2003，23(6)：13-18.
[11] 華揚(yáng)松.火電廠實(shí)時(shí)發(fā)電成本分析與輔助報(bào)價(jià)研究[D].北京：華北電力大學(xué)，2006.