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(lái)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(wú)錫供電公司,江蘇 無(wú)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(lèi)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
 
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