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

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    基于改進(jìn)天鷹優(yōu)化算法的微電網(wǎng)多目標(biāo)優(yōu)化調(diào)度研究

    來源:電工電氣發(fā)布時(shí)間:2023-12-28 13:28 瀏覽次數(shù):202

    基于改進(jìn)天鷹優(yōu)化算法的微電網(wǎng)多目標(biāo)優(yōu)化調(diào)度研究

    宗壽松1,萬俊杰2
    (1 江蘇安科瑞微電網(wǎng)研究院有限公司,江蘇 江陰 214432;
    2 安科瑞電氣股份有限公司,上海 201801)
     
        摘 要:微電網(wǎng)優(yōu)化調(diào)度對(duì)降低企業(yè)用電費(fèi)用,減少能源損耗和環(huán)境污染具有重要意義。研究了覆蓋光伏、風(fēng)電、儲(chǔ)能、燃?xì)廨啓C(jī)和柴油發(fā)電機(jī)的分布式電源,在微電網(wǎng)并網(wǎng)運(yùn)行的情況下,為協(xié)調(diào)系統(tǒng)內(nèi)部各微電源的出力情況,對(duì)光伏發(fā)電、風(fēng)力發(fā)電和用電負(fù)荷功率進(jìn)行預(yù)測,建立了以運(yùn)行成本和污染治理費(fèi)用最低的目標(biāo)函數(shù),并采用改進(jìn)天鷹優(yōu)化算法 (IAO) 進(jìn)行求解,求得不同分布式電源和大電網(wǎng)的出力情況。仿真結(jié)果表明,該模型在保證用戶持續(xù)供電的情況下,可以在一定程度上有效降低企業(yè)用戶的用電成本以及減少污染物的排放,為微電網(wǎng)實(shí)際運(yùn)行的功率分配提供指導(dǎo)。
        關(guān)鍵詞: 微電網(wǎng);多目標(biāo);改進(jìn)天鷹優(yōu)化算法;優(yōu)化調(diào)度
        中圖分類號(hào):TM711 ;TM73     文獻(xiàn)標(biāo)識(shí)碼:A     文章編號(hào):1007-3175(2023)12-0015-08
     
    Research on Multi-Objective Optimal Dispatch of Microgrid with
    Improved Aquila Optimizer Algorithm
     
    ZONG Shou-song1, WAN Jun-jie2
    (1 Jiangsu Acrel Microgrid Research Institute Co., Ltd, Jiangyin 214432, China;
    2 Acrel Electric Co., Ltd, Shanghai 201801, China)
     
        Abstract: The optimal dispatch of microgrid is an indispensable part of smart grid optimization, which is of great significance to reduce electricity costs of enterprises, energy consumption and environmental pollution. In this paper, the distributed power supply covering photovoltaic,wind power, energy storage, gas turbine and diesel generator is studied. In the case of grid-connected operation of microgrid, in order to coordinate the output of various micro power sources in the system, the photovoltaic power generation, wind power generation and electricity load power are predicted, and the objective function with the lowest operating cost and pollution control cost is established. The Improved Aquila Optimizer (IAO) algorithm is used to solve the problem to obtain the output of different distributed generators and large power grids. The simulation results show that the model can effectively reduce the electricity cost and pollutant emission of enterprise users to a certain extent under the condition of ensuring continuous power supply for users, and provide guidance for the power allocation of microgrid in actual operation.
        Key words: microgrid; multi-objective; improved aquila optimizer algorithm; optimal dispatch
     
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