![]() ![]() The obtained results show that optimal management and scheduling of storage in the presence of DGs mutually benefit by minimizing consumption cost (customer) and grid load (utility) which show the efficacy of the proposed model. Case studies have been carried out considering the demand response strategies to analyze the proposed model. Among random parameters, solar irradiance and load have been taken into consideration. The framework has been validated under deterministic and stochastic environments. The subsequent nonlinear mathematical problem has been scheduled by mixed-integer nonlinear programming (MINLP) in MATLAB for saving energy cost and battery aging cost. To overcome the random nature of solar irradiance, station battery has been integrated as energy storage. ![]() Under the proposed setup, it contains campus owned nondispatchable DGs such as solar photovoltaic (PV) panels and microturbines (MTs) as dispatchable sources. Conventionally, it contains electricity from the national grid only as a supply to fulfil the energy demand. ![]() For this purpose, a Pakistani university has been investigated and an optimal solution has been proposed. The main focus of this paper is to propose an energy management system (EMS) approach for campus microgrid ( µG). These problems may be assuaged by participating distributed generators (DGs) and demand response (DR) policies in the distribution system (DS). Present power systems face problems such as rising energy charges and greenhouse gas (GHG) releases. ![]()
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