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

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考慮風(fēng)電接入的電力系統(tǒng)動(dòng)態(tài)隨機(jī)環(huán)境/經(jīng)濟(jì)調(diào)度

來源:電工電氣發(fā)布時(shí)間:2017-04-21 14:21 瀏覽次數(shù):8
考慮風(fēng)電接入的電力系統(tǒng)動(dòng)態(tài)隨機(jī)環(huán)境/經(jīng)濟(jì)調(diào)度
 
王銳1,朱超2,張帥3
(1 國(guó)網(wǎng)江蘇省電力公司泰州供電公司,江蘇 泰州 225300;2 國(guó)網(wǎng)江蘇省電力公司檢修分公司,江蘇 南京 211102;
3 國(guó)網(wǎng)江蘇省電力公司無錫供電公司,江蘇 無錫 214000)
 
    摘 要:考慮風(fēng)電固有的隨機(jī)性、波動(dòng)性和間歇性,兼顧環(huán)境污染和經(jīng)濟(jì)性的多優(yōu)化目標(biāo),針對(duì)不同時(shí)間斷面,構(gòu)建風(fēng)電接入后的電力系統(tǒng)動(dòng)態(tài)隨機(jī)環(huán)境/經(jīng)濟(jì)調(diào)度模型。引入機(jī)會(huì)約束規(guī)劃理論,設(shè)計(jì)基于非劣排序的隨機(jī)多目標(biāo)粒子群優(yōu)化算法,應(yīng)用模糊集合理論和熵權(quán)法建立綜合最優(yōu)解的提取方法。算例分析驗(yàn)證了該模型和算法的可行性和有效性。
    關(guān)鍵詞:大規(guī)模風(fēng)電;環(huán)境/經(jīng)濟(jì)調(diào)度;多目標(biāo)優(yōu)化;機(jī)會(huì)約束規(guī)劃
    中圖分類號(hào):TM614;TM734      文獻(xiàn)標(biāo)識(shí)碼:A      文章編號(hào):1007-3175(2017)04-0010-07
 
Dynamic and Stochastic Environmental Economic Dispatch for Power Systems Integrated with Large-Scale Wind Power
 
WANG Rui1, ZHU Chao2, ZHANG Shuai3
(1 Taizhou Power Supply Company of Jiangsu Electric Power Co., Ltd , Taizhou 225300, China;
2 Jiangsu Electric Power Maintenance Branch Company, Nanjing 2111 02, China;
3 Wuxi Power Supply Company of Jiangsu Electric Power Co., Ltd, Wuxi 214000, China)
 
    Abstract: Giving consideration to the randomness, volatility and intermittent, multi-optimization objective of environmental pollution and economy, and aiming at fracture surface at different time, this paper established a dynamic and stochastic environmental economic dispatch model for power system integrated with large-scale wind power. The chance constraint planning theory was introduced. This paper designed a superior multi-objective particle swarm optimization algorithm based on Pareto non-dominated sorting mechanism and used the fuzzy set theory and entropy weights to extract the comprehensive optimal solution. The calculated example analysis verifies the feasibility and validity of this model and its algorithm.
    Key words: large-scale wind power; environmental economic dispatch; multi-objective optimization; chance-constrained 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] 張粒子,周娜,王楠. 大規(guī)模風(fēng)電接入電力系統(tǒng)調(diào)度模式的經(jīng)濟(jì)性比較[J]. 電力系統(tǒng)自動(dòng)化,2011,35(22):105-109.
[3] 吳棟梁,王揚(yáng),郭創(chuàng)新,等. 電力市場(chǎng)環(huán)境下考慮風(fēng)電預(yù)測(cè)誤差的經(jīng)濟(jì)調(diào)度模型[J]. 電力系統(tǒng)自動(dòng)化,2012,36(6):23-28.
[4] 任博強(qiáng),彭鳴鴻,蔣傳文,等. 計(jì)及風(fēng)電成本的電力系統(tǒng)短期經(jīng)濟(jì)調(diào)度建模[J]. 電力系統(tǒng)保護(hù)與控制,2010,38(14):67-72.
[5] HETZER J, YU D C, BHATTARAI K.An economic dispatch model incorporating wind power[J]. IEEE Transactions on Energy Conversion,2008,
23(2):603-611.
[6] 張昭遂,孫元章,李國(guó)杰,等. 計(jì)及風(fēng)電功率不確定性的經(jīng)濟(jì)調(diào)度問題求解方法[J]. 電力系統(tǒng)自動(dòng)化,2011,35(22):125-130.
[7] MIRANDA V, HANG P S.Economic dispatch model with fuzzy wind constraints and attitudes of dispatchers[J].IEEE Transactions on Power Systems,2005,20(4):2143-2145.
[8] WANG L, SINGH C.PSO-based multi-criteria economic dispatch considering wind power penetration subject to dispatcher’s attitude[C]//Proceeding of IEEE North American Power Symposium,2006:269-276.
[9] 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.
[10] 江岳文,陳沖,溫步瀛. 含風(fēng)電場(chǎng)的電力系統(tǒng)機(jī)組組合問題隨機(jī)模擬粒子群算法[J]. 電工技術(shù)學(xué)報(bào),2009,24(6):129-137.
[11] 孫元章,吳俊,李國(guó)杰. 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.
[12] 趙俊華,文福拴,薛禹勝,等. 計(jì)及電動(dòng)汽車和風(fēng)電出力不確定性的隨機(jī)經(jīng)濟(jì)調(diào)度[J]. 電力系統(tǒng)自動(dòng)化,2010,34(20):22-29.
[13] 田廓,曾鳴,鄢帆,等. 考慮環(huán)保成本和風(fēng)電接入影響的動(dòng)態(tài)經(jīng)濟(jì)調(diào)度模型[J]. 電網(wǎng)技術(shù),2011,35(6):55-59.
[14] DUTTA P, SINHA A K.Environmental economic dispatch constrained by voltage stability using PSO[C]//IEEE Internayional Conference on Industrial Technology,2007:1879-1884.
[15] KING R T F A, RUGHOOPUTH H C S, DEB K.Stochastic evolutionary multiobjective environmental/economic dispatch[C]//IEEE Congress on Evolutionary Computation,2006:946-953.
[16] 劉盛松,邰能靈,侯志儉,等. 基于最優(yōu)潮流與模糊貼近度的電力系統(tǒng)環(huán)境保護(hù)研究[J]. 中國(guó)電機(jī)工程學(xué)報(bào),2003,23(4):21-26.
[17] 彭春華,孫惠娟. 基于非劣排序微分進(jìn)化的多目標(biāo)優(yōu)化發(fā)電調(diào)度[J]. 中國(guó)電機(jī)工程學(xué)報(bào),2009,29(34):71-76.
[18] 文瑛,元昌安. 改進(jìn)的多目標(biāo)粒子群優(yōu)化方法[J].計(jì)算機(jī)工程與設(shè)計(jì),2010,31(12):2846-2848.
[19] ALVAREZ-BENITEZ J, EVERSON R, FIELDSEND J.A MOPSO algorithm based exclusively on pareto dominance concepts[C]//Third International Conference, Evolutionary Malti-Criterion Optimization,2005:459-473.
[20] 吳亞麗,徐麗青. 基于差分演化的改進(jìn)多目標(biāo)粒子群優(yōu)化算法[J]. 系統(tǒng)仿真學(xué)報(bào),2011,23(10):2211-2215.
[21] 徐麗青,吳亞麗. 求解環(huán)境經(jīng)濟(jì)調(diào)度問題的多目標(biāo)差分粒子群優(yōu)化算法[J]. 西安理工大學(xué)學(xué)報(bào),2011,27(1):62-68.
[22] DEB K, PRATAP A, AGARWAL S, et al.A fast and elitist multiobjective genetic algorithm: NSGA-II[J].IEEE Transactions on Evolutionary Computation,2002,6(2):182-197.