Optimal techno-economic energy management strategy for building’s microgrids based bald eagle search optimization algorithm
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Date
2021
Journal Title
Journal ISSN
Volume Title
Publisher
Université de M'sila
Abstract
This research proposes an effective energy management strategy (EMS) for the economic operation under
standalone and grid-connected operating modes of integrated solar renewables microgrid. The proposed
microgrid is composed of a photovoltaic generator (PV), a fuel cell system (FC), and a battery storage system. The
random nature of the renewable and the load power imposed some stability problems and economic problems,
including operating costs. The suggested technique was based on the bald eagle search optimization algorithm
(BES), which was designed for a one-day scheduling horizon. The key objectives of this paper were to satisfy the
load power with the lowest operating costs under a stable direct current (DC) bus voltage, enhance the overall
system efficiency and protect the battery from deep discharge and overcharge. To demonstrate the effectiveness
of the proposed strategy, the obtained results were compared with other optimizers, including particle swarm
optimization (PSO), salp swarm algorithm (SSA), artificial eco-system optimizer (AEO), COOT optimizer, and
political optimizer (PO). The comparison confirmed the superiority of the proposed strategy in terms of minimum
operating energy cost (0.1577c€/kW), high efficiency (87.395%) and final SoC (33.268%).
Description
Keywords
Microgrids Energy management strategy Energy efficiency Modern optimization