Energy Management of Microgrid Considering Renewable Energy Sources and Electric Vehicles Using the Backtracking Search Optimization Algorithm
| Autor: | Alireza Rezvani, Goran Saman Nariman, Yong Li, Nahla Aljojo, Salim Qadir Mohammed, Sajjad Dadfar |
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| Rok vydání: | 2020 |
| Předmět: |
0303 health sciences
Mathematical optimization Optimization algorithm Renewable Energy Sustainability and the Environment Energy management Computer science business.industry Backtracking 020209 energy Mechanical Engineering Energy Engineering and Power Technology 02 engineering and technology Energy storage Renewable energy 03 medical and health sciences Fuel Technology Geochemistry and Petrology 0202 electrical engineering electronic engineering information engineering Microgrid business 030304 developmental biology |
| Zdroj: | Journal of Energy Resources Technology. 142 |
| ISSN: | 1528-8994 0195-0738 |
| DOI: | 10.1115/1.4046098 |
| Popis: | Different distributed generation (DG) technologies, active loads, and storage devices create an independent microgrid (MG). Scheduling of an MG is an important issue in renewable energy sources (RESs) based systems. In this paper, MGs include RESs, plug-in hybrid electric vehicles (PHEVs), and electrical energy storage systems. The proposed scheduling framework utilizes the Monte Carlo simulation (MCS) to characterize the uncertain parameters of PHEVs and RESs. Three different charging strategies are investigated for modeling the impact of different behaviors of PHEVs in MGs. These schemes are smart, controlled, and uncontrolled charging. Due to the nonlinear feature of the suggested optimization problem, it needs an efficient optimization tool to tackle the problem appropriately. So, this paper uses the backtracking search optimization (BSO) algorithm for the short-term scheduling of an MG. The proper performance of the offered scheme is investigated in two scenarios with different time horizons. The BSO algorithm and other optimization algorithms are used for comparing the results to verify the presented method in solving the energy management problem of the MGs. |
| Databáze: | OpenAIRE |
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