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

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基于人工蜂群算法的微電網(wǎng)環(huán)保經(jīng)濟(jì)調(diào)度

來源:電工電氣發(fā)布時間:2016-10-19 08:19 瀏覽次數(shù):8
基于人工蜂群算法的微電網(wǎng)環(huán)保經(jīng)濟(jì)調(diào)度
 
薛貴挺,張健
(國網(wǎng)北京市電力公司,北京 100031)
 
    摘 要:為解決含多種分布式能源的微電網(wǎng)負(fù)荷優(yōu)化分配問題,建立了以系統(tǒng)總成本最小為目標(biāo)函數(shù),以系統(tǒng)安全運(yùn)行為約束條件的微電網(wǎng)環(huán)保經(jīng)濟(jì)調(diào)度模型。將人工蜂群算法應(yīng)用到模型求解中,通過14 節(jié)點(diǎn)系統(tǒng)驗(yàn)證該模型和方法的有效性。算例結(jié)果分析表明,通過合理安排微電網(wǎng)內(nèi)部“可控”分布式電源(DG)的出力和分布式儲能(DS) 的充放電功率,實(shí)現(xiàn)了負(fù)荷轉(zhuǎn)移,有效降低了微電網(wǎng)系統(tǒng)總成本。
    關(guān)鍵詞:分布式電源;分布式儲能;微電網(wǎng);運(yùn)行優(yōu)化;人工蜂群算法
    中圖分類號:TM714     文獻(xiàn)標(biāo)識碼:A     文章編號:1007-3175(2016)10-0057-04
 
Environmental and Economic Dispatch of Microgrid Based on
Artificial Bee Colony Algorithm
 
XUE Gui-ting, ZHANG Jian
(State Grid Beijing Electric Power Company, Beijing 100031, China)
 
    Abstract: In order to solve the optimal load distribution problem of microgrid with multiple distributed energy resource, this paper established the function taking the minimum total cost as its objective and the environmental economic dispatch model of microgrid with the system security operation as its constraints. Artificial bee colony algorithm was applied in the solution method for model and the validity of this method was verified by the 14-node system. The result analysis of algorithm case shows that the reasonable arrangement capacity of microgrid interior controllable distributed generation and the charging and discharging power of distributed energy storage realizes the load transfer and reduces the total cost of microgrid system.
    Key words: distributed generation; distributed energy storage; microgrid; operation optimization; artificial bee colony algorithm
 
參考文獻(xiàn)
[1] 苗軼群,江全元,曹一家. 考慮電動汽車隨機(jī)接入的微網(wǎng)優(yōu)化調(diào)度[J]. 電力自動化設(shè)備,2013,33(12):1-7.
[2] 張美霞,陳潔,楊秀,等. 微網(wǎng)經(jīng)濟(jì)運(yùn)行研究綜述[J]. 華東電力,2012,40(9):1480-1485.
[3] 陳健,王成山,趙波,等. 考慮儲能系統(tǒng)特性的獨(dú)立微電網(wǎng)系統(tǒng)經(jīng)濟(jì)運(yùn)行優(yōu)化[J]. 電力系統(tǒng)自動化,2012,36(20):25-31.
[4] 石慶均,耿光超,江全元. 獨(dú)立運(yùn)行模式下的微網(wǎng)實(shí)時能量優(yōu)化調(diào)度[J]. 中國電機(jī)工程學(xué)報,2012,32(16):26-35.
[5] 王銳,顧偉,吳志. 含可再生能源的熱電聯(lián)供型微網(wǎng)經(jīng)濟(jì)運(yùn)行優(yōu)化[J]. 電力系統(tǒng)自動化,2011,35(8):22-27.
[6] 邢龍, 張沛超, 方陳, 等. 基于廣義需求側(cè)資源的微網(wǎng)運(yùn)行優(yōu)化[J]. 電力系統(tǒng)自動化,2013,37(12):7-12.
[7] 薛貴挺,張焰,劉玉嬌,等. 基于克隆選擇算法的微電網(wǎng)多目標(biāo)運(yùn)行優(yōu)化[J]. 電力自動化設(shè)備,2014,34(3):16-21.
[8] 萬術(shù)來. 基于改進(jìn)粒子群算法的微網(wǎng)環(huán)保經(jīng)濟(jì)運(yùn)行的優(yōu)化[D]. 廣州:華南理工大學(xué),2012.
[9] KARABOGA D.An idea based on honey bee swarm for numerical optimization[R].Kayseri:ErciyesUniversity,2005.