18 مرداد 1401
مهدي احمدي جيردهي

مهدی احمدی جیردهی

مرتبه علمی: استادیار
نشانی: ایران- کرمانشاه- بزرگراه امام خمینی- دانشگاه صنعتی کرمانشاه
تحصیلات: دکترای تخصصی / مهندسی برق- قدرت
تلفن: 0838305001
دانشکده: دانشکده انرژی

مشخصات پژوهش

عنوان
Smart scheduling of transmission line switching: optimization of multi-objective microgrid’s day-ahead energy scheduling with considering high penetration of green energies and INVELOX
نوع پژوهش مقاله چاپ شده
کلیدواژه‌ها
Global Optimization; INVELOX Wind Turbine; Microgrid Energy Management; Portable Resources; Smart Control; Tie Line Limitation.
پژوهشگران محمد شاطر ابادی (نفر اول)، مهدی احمدی جیردهی (نفر دوم)

چکیده

In recent years, distributed generation resources, especially renewable energies, have utilized in different situations; to solve the environmental pollution problems and lack of sufficient energies. In this regard, microgrid’s bi-objective energy scheduling and management are considered with INVELOX wind turbine, micro-turbine, Boiler, CHP, Photovoltaic, wind turbines, and also energy storage systems to enhance the reliability of the network. Moreover, portable resources have been used to manage the demand side. The remarkable innovation of this paper is to control the transmission line circuit breakers, and as a result, control the ecological contamination and microgrid’s cost; by variation in exchangeable power. In this strategy, the microgrid is capable of changing the tie line capacity and achieve the top-selling or buying electricity to/from the power system by switching the circuit breakers, (circuit breakers can switch by operator decision or smart devices if required, at all-time intervals). The proposed strategy is modeled as mixed-integer linear programming (MILP). All out expense and ecological contamination of under study’s microgrid is considered as the objective function. The EPC technique and fuzzy methodology have been used to tackle the problem and select the ideal arrangement and solution, respectively. The outcomes display the improvement of microgrid operation with the presented energy management strategy, so that, cost decreased by about 48.76 % and 38.6 %, in the last two scenarios, respectively.