Practical Analysis and Design of a Battery Management System for a Grid-Connected DC Microgrid for the Reduction of the Tariff Cost and Battery Life Maximization

Salas-Puente, Robert; Marzal, Silvia; González-Medina, Raúl; Figueres, E.; Garcerá, G.

doi:10.3390/en11071889

Cited by 7 publications

(2 citation statements)

References 56 publications

(88 reference statements)

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“…The battery management system (BMS) is one of the vital components of the microgrid EMS. Puente et al [90] highlighted the essential subsystems and control parameters based on the security operations center and the charging/discharging of batteries while designing the block diagram and charging algorithm of the BMS. To ensure dynamic power distribution among multiple energy storage packs, a virtual battery algorithm was formulated to evaluate their power characteristics [91].…”

Section: Storage System Managementmentioning

confidence: 99%

Review of Recent Developments in Microgrid Energy Management Strategies

et al. 2022

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The grid integration of microgrids and the selection of energy management systems (EMS) based on robustness and energy efficiency in terms of generation, storage, and distribution are becoming more challenging with rising electrical power demand. The problems regarding exploring renewable energy resources with efficient and durable energy storage systems demand side management and sustainable solutions to microgrid development to maintain the power system’s stability and security. This article mainly focuses on the overview of the recent developments of microgrid EMS within the control strategies and the implementation challenges of the microgrid. First, it provides energy management strategies for the major microgrid components, including load, generation, and energy storage systems. Then, it presents the different optimization approaches employed for microgrid energy management, such as classical, metaheuristic, and artificial intelligence. Moreover, this article sheds light on the major implementation challenges of microgrids. Overall, this article provides interactive guidelines for researchers to assist them in deciding on their future research.

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Section: Storage System Managementmentioning

confidence: 99%

Review of Recent Developments in Microgrid Energy Management Strategies

et al. 2022

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“…Energy management systems (EMSs) control the generation of each RES and power flow in the microgrid. Based on the optimal cost of operation, the EMS generates reference power values for various RESs, BESs, and power exchanges with the grid [11,12]. This economic power scheduling has been the focus of many previous studies [13][14][15].…”

Section: Introductionmentioning

confidence: 99%

Economic Load Dispatch of a Grid-Tied DC Microgrid Using the Interior Search Algorithm

et al. 2019

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This paper presents the effectiveness of the interior search algorithm in economic power scheduling of a grid-tied DC microgrid with renewable generation (wind and photovoltaic) and battery energy storage. The study presents the modelling and simulation of various DC/DC converters for tracking maximum power from wind and photovoltaic sources and the bidirectional power flow of battery energy storage. The DC microgrid and its controllers were modelled and simulated in MATLAB/Simulink. The generating units were dispatched economically using the interior search algorithm with the objective to minimize the operating cost of the microgrid. The simulated results verify the effectiveness of the interior search algorithm as the daily cost of microgrid operation was reduced by 11.25%.

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