مشخصات پژوهش

صفحه نخست /Multi-objective modelling of ...
عنوان
Multi-objective modelling of day ahead scheduling of MMG-based distribution networks accompanied by DEA considering economics, emissions and power quality
نوع پژوهش مقاله چاپ شده
کلیدواژه‌ها
Smart distribution network, multi-micro grid, operation, data envelopment analysis, multi-objective modelling, efficiency
چکیده
This paper presents the state of the art relating to multi-objective modelling for day ahead scheduling of multi micro grid-based distribution networks, using optimal power flow (OPF) accompanied by data envelopment analysis (DEA). In this paper eco-reliability cost function, power quality enhancement and emission reduction are treated as the objective functions and the uncertainties of renewable distributed generations (DGs), load demand and market price are incorporated into the problem. This method is able to find the optimum operation of DGs in grid-connected or isolated MGs, power transaction between each MG and upstream networks/other MGs and hourly reconfiguration instants. For this purpose, firstly OPF is applied to the problem, then the obtained optimal solutions are prioritised by DEA and ranking is done, based on the efficiencies of the optimal solutions. Finally, the provided results validate the practicability of the proposed method and accuracy of the outcomes.
پژوهشگران توحید فرهودی (نفر اول)، محمدرضا جنتی اسکوئی (نفر دوم)، سجاد نجفی روادانق (نفر سوم)