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

Article retrieval

文章檢索

首頁(yè) >> 文章檢索 >> 文章瀏覽排名

基于改進(jìn)潮流熵的含風(fēng)電場(chǎng)雙層協(xié)同調(diào)度

來(lái)源:電工電氣發(fā)布時(shí)間:2016-04-06 12:06 瀏覽次數(shù):20

基于改進(jìn)潮流熵的含風(fēng)電場(chǎng)雙層協(xié)同調(diào)度 

丁楠,胡呂龍 
東南大學(xué) 電氣工程學(xué)院,江蘇 南京 210096 
 

摘 要:在風(fēng)電滲透率較高時(shí),風(fēng)電場(chǎng)出力的波動(dòng)在電網(wǎng)中形成擾動(dòng),會(huì)引發(fā)風(fēng)電接入點(diǎn)的潮流局部涌動(dòng)和全區(qū)域電網(wǎng)的潮流全局竄動(dòng)。針對(duì)局部特性的潮流涌動(dòng)和全局性的潮流竄動(dòng),以常規(guī)機(jī)組出力和儲(chǔ)能為控制手段,提出了含風(fēng)電場(chǎng)的雙層協(xié)同調(diào)度模型。上層模型以調(diào)度周期內(nèi)電網(wǎng)改進(jìn)潮流熵的平均值最小為目標(biāo),下層模型以風(fēng)電場(chǎng)并網(wǎng)點(diǎn)在調(diào)度周期內(nèi)凈注入功率方差的平均值最小為目標(biāo)并采用NSGA-Ⅱ算法對(duì)所建模型交替迭代求解。含風(fēng)電場(chǎng)的IEEE39節(jié)點(diǎn)系統(tǒng)算例驗(yàn)證了調(diào)度方法的可行性和有效性。
關(guān)鍵詞:風(fēng)電場(chǎng);波動(dòng);潮流熵;雙層規(guī)劃
中圖分類號(hào):TM614 文獻(xiàn)標(biāo)識(shí)碼:A 文章編號(hào):1007-3175(2014)08-0015-06


Bilevel Cooperative Dispatch Considering Wind Power Penetration Based on Improved Power Flow Entropy 

DING Nan, HU Lv-long 
School of Electrical Engineering, Southeast University, Nanjing 210096, China 
 

Abstract: When the penetration of wind power is high, the fluctuations of wind farm output will form disturbance in the power grid, leading to local surge of power flow in the grid-connected point of wind farm and overall volatility of power flow in the regional power grid. Aiming at local surge and overall volatility of power flow and taking the output of conventional units and stored energy as the controlling means, this paper proposed the bilevel cooperative dispatching model considering wind farms. In the upper model, the target is to minimize the mean of improved power flow entropy in the scheduling period, while in the lower model, the target is to minimize the mean of variance of the net injection of active power in all of the grid-connected points of wind farm in the scheduling period. The NSGA-II algorithm was adopted to calculate the built models alternately and iteratively. The case of IEEE39 node system verifies the feasibility and effectiveness of the proposed dispatching method.
          Key words: wind farm; fluctuation; power flow entropy; bilevel programming


參考文獻(xiàn)
[1] 雷亞洲.與風(fēng)電并網(wǎng)相關(guān)的研究課題[J].電力系統(tǒng)自動(dòng)化,2003,27(8):84-89.
[2] 孫元章,吳俊,李國(guó)杰,等.基于風(fēng)速預(yù)測(cè)和隨機(jī)規(guī)劃的含風(fēng)電場(chǎng)電力系統(tǒng)動(dòng)態(tài)經(jīng)濟(jì)調(diào)度[J].中國(guó)電機(jī)工程學(xué)報(bào),2009,29(4):41-47.
[3] 孫欣,呂躍春,高軍,等.電網(wǎng)經(jīng)濟(jì)性與安全性的精益協(xié)調(diào)方法[J].電網(wǎng)技術(shù),2009,33(11):12-17.
[4] 陳寧,于繼來(lái).基于電氣剖分信息的風(fēng)電系統(tǒng)有功調(diào)度與控制[J].中國(guó)電機(jī)工程學(xué)報(bào),2008,28(16):51-58.
[5] 王卿然,謝國(guó)輝,張粒子.含風(fēng)電系統(tǒng)的發(fā)用電一體化調(diào)度模型[J].電力系統(tǒng)自動(dòng)化,2011,35(5):15-18.
[6] 陳海焱,陳金富,段獻(xiàn)忠.含風(fēng)電場(chǎng)電力系統(tǒng)經(jīng)濟(jì)調(diào)度的模糊建模及優(yōu)化算法[J].電力系統(tǒng)自動(dòng)化,2006,30(2):22-26.
[7] 陳道君,龔慶武,張茂林,等.考慮能源環(huán)境效益的含風(fēng)電場(chǎng)多目標(biāo)優(yōu)化調(diào)度[J].中國(guó)電機(jī)工程學(xué)報(bào),2011,31(13):10-17.
[8] 王成山,于波,肖峻,等.平滑可再生能源發(fā)電系統(tǒng)輸出波動(dòng)的儲(chǔ)能系統(tǒng)容量?jī)?yōu)化方法[J].中國(guó)電機(jī)工程學(xué)報(bào),2012,32(16):1-8.
[9] 王成山,于波,肖峻,等.平滑微電網(wǎng)聯(lián)絡(luò)線功率波動(dòng)的儲(chǔ)能系統(tǒng)容量?jī)?yōu)化方法[J].電力系統(tǒng)自動(dòng)化,2013,37(3):12-17.
[10] 丁明,徐寧舟,畢銳,等.用于平抑可再生能源功率波動(dòng)的儲(chǔ)能電站的建模及評(píng)價(jià)[J].電力系統(tǒng)自動(dòng)化,2011,35(2):66-72.
[11] 洪海生,江全元,嚴(yán)玉婷.實(shí)時(shí)平抑風(fēng)電場(chǎng)功率波動(dòng)的電池儲(chǔ)能系統(tǒng)優(yōu)化控制方法[J].電力系統(tǒng)自動(dòng)化,2013,37(1):103-109.
[12] 姚偉鋒,趙俊華,文福拴,等.基于雙層優(yōu)化的電動(dòng)汽車充放電調(diào)度策略[J].電力系統(tǒng)自動(dòng)化,2012,36(11):30-37.
[13] 屈剛,程浩忠,馬則良,等.考慮聯(lián)絡(luò)線傳輸功率的雙層分區(qū)多目標(biāo)輸電網(wǎng)規(guī)劃[J].中國(guó)電機(jī)工程學(xué)報(bào),2009,29(31):40-46.
[14] 張節(jié)潭,苗淼,范宏,等.含風(fēng)電場(chǎng)的雙層電源規(guī)劃[J].電網(wǎng)技術(shù),2011,35(11):43-49.
[15] 王淑芬,萬(wàn)仲平,樊恒,等.基于二層規(guī)劃的無(wú)功優(yōu)化模型及其混合算法[J].電網(wǎng)技術(shù),2005,29(9):22-25.
[16] 丁明,吳義純,張立軍.風(fēng)電場(chǎng)風(fēng)速概率分布參數(shù)計(jì)算方法的研究[J].中國(guó)電機(jī)工程學(xué)報(bào),2005,25(10):107-110.
[17] 石東源,蔡德福,陳金富,等.計(jì)及輸入變量相關(guān)性的半不變量法概率潮流計(jì)算[J].中國(guó)電機(jī)工程學(xué)報(bào),2012,32(8):104-113.
[18] 曹一家,王光增,曹麗華,等.基于潮流熵的復(fù)雜電網(wǎng)自組織臨界態(tài)判斷模型[J].電力系統(tǒng)自動(dòng)化,2011,35(7):1-6.
[19] 劉寶碇,趙瑞清,王綱.不確定規(guī)劃及應(yīng)用[M].北京:清華大學(xué)出版社,2003.
[20] 陳偉,石晶,任麗,等.微網(wǎng)中的多元復(fù)合儲(chǔ)能技術(shù)[J].電力系統(tǒng)自動(dòng)化,2010,34(1):112-115.
[21] 馮士剛,艾芊.帶精英策略的快速非支配排序遺傳算法在多目標(biāo)無(wú)功優(yōu)化中的應(yīng)用[J].電工技術(shù)學(xué)報(bào),2007,22(12):146-151.