دانلود مقاله ISI انگلیسی شماره 141950
ترجمه فارسی عنوان مقاله

اعزام مطلوب چند هدفه از وسایل نقلیه الکتریکی حاوی میکروگرید

عنوان انگلیسی
Multi-objective optimal dispatch of microgrid containing electric vehicles
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
141950 2017 34 صفحه PDF
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Journal of Cleaner Production, Volume 165, 1 November 2017, Pages 1572-1581

ترجمه کلمات کلیدی
ریزشبکه، ارسال بار بهینه، چند هدفه، وسایل نقلیه الکتریکی، بهینه سازی ذرات ذرات،
کلمات کلیدی انگلیسی
Microgrid; Optimal load dispatch; Multi-objective; Electric vehicles; Particle swarm optimization;
پیش نمایش مقاله
پیش نمایش مقاله  اعزام مطلوب چند هدفه از وسایل نقلیه الکتریکی حاوی میکروگرید

چکیده انگلیسی

As an important part of smart grid optimizations, optimal dispatch of microgrid is of great significance to reduce energy consumption, environmental pollution and user's electricity costs. The development objective of microgrid is not only to meet the basic demand of power supply, but also to improve its economic efficiency and environmental protection. In this regard, this paper proposes a multi-objective optimal dispatch model for microgrid under grid-connected mode, which comprehensively considers the operation cost and the environmental protective cost of the microgrid system. Distribution generators in the microgrid system include photovoltaic array, wind turbine, diesel engine, micro turbine and electric vehicle. The batteries of the accessed electric vehicles are treated as a kind of mobile distributed energy storage device in the model. In order to solve the proposed model effectively, according to the configuration and characteristics of the model, this paper proposes an improved particle swarm optimization algorithm to solve the optimization model. Two different operation scheduling scenarios under grid-connected mode are researched, and the dispatch results of different optimization goals are discussed in this paper. The simulation results show that the effectiveness and superiority of the proposed model, which can effectively reduce the user's electricity costs and environmental pollution, promote the optimal operation of microgrid and achieve the economic management of the batteries of electric vehicles.