April 27, 2024
Mehdi Ahmadi Jirdehi

Mehdi Ahmadi Jirdehi

Academic rank: Associate professor
Address: Kermanshah University of Technology, Imam Khomeini Highway, Kermanshah, Iran
Education: Ph.D in Power Electrical Engineering
Phone: 0838305001
Faculty: Faculty ofٍٍ Electrical Engineering

Research

Title
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
Type Article
Keywords
Global Optimization; INVELOX Wind Turbine; Microgrid Energy Management; Portable Resources; Smart Control; Tie Line Limitation.
Researchers mohammad shater abadi، Mehdi Ahmadi Jirdehi

Abstract

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.