含分布式电源及电动汽车的园区微网优化运行方法

TM732; 随着分布式发电技术的不断成熟和电动汽车的普及,多能互补微网越来越广泛地应用于各类工业区、商业综合区等独立园区.为实现园区微网内的优化运行,针对含风、光、气、电动汽车的微网,建立了考虑经济性和环保性的两阶段优化模型,计及了分布式电源发电约束、电动汽车的充放电约束、出行约束等条件,以达到园区微网内经济性最好且可再生能源利用率最高的优化目标.采用自适应遗传算法对优化目标进行求解,通过对算例进行仿真计算,验证了上述模型在不同运行方式下均能实现经济环保优化运行....

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Published in电测与仪表 Vol. 60; no. 4; pp. 27 - 33
Main Authors 徐琪森, 陈炯, 徐广鹦
Format Journal Article
LanguageChinese
Published 上海电力大学电气工程学院,上海200090%国网上海市电力公司检修公司,上海200063 15.04.2023
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ISSN1001-1390
DOI10.19753/j.issn1001-1390.2023.04.004

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Abstract TM732; 随着分布式发电技术的不断成熟和电动汽车的普及,多能互补微网越来越广泛地应用于各类工业区、商业综合区等独立园区.为实现园区微网内的优化运行,针对含风、光、气、电动汽车的微网,建立了考虑经济性和环保性的两阶段优化模型,计及了分布式电源发电约束、电动汽车的充放电约束、出行约束等条件,以达到园区微网内经济性最好且可再生能源利用率最高的优化目标.采用自适应遗传算法对优化目标进行求解,通过对算例进行仿真计算,验证了上述模型在不同运行方式下均能实现经济环保优化运行.
AbstractList TM732; 随着分布式发电技术的不断成熟和电动汽车的普及,多能互补微网越来越广泛地应用于各类工业区、商业综合区等独立园区.为实现园区微网内的优化运行,针对含风、光、气、电动汽车的微网,建立了考虑经济性和环保性的两阶段优化模型,计及了分布式电源发电约束、电动汽车的充放电约束、出行约束等条件,以达到园区微网内经济性最好且可再生能源利用率最高的优化目标.采用自适应遗传算法对优化目标进行求解,通过对算例进行仿真计算,验证了上述模型在不同运行方式下均能实现经济环保优化运行.
Author 徐琪森
陈炯
徐广鹦
AuthorAffiliation 上海电力大学电气工程学院,上海200090%国网上海市电力公司检修公司,上海200063
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Chen Jiong
Xu Qisen
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Title 含分布式电源及电动汽车的园区微网优化运行方法
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