Microgrids control strategies: A survey of available literature

Meje, Kelebogile Confidence; Bokopane, Lindiwe; Kusakana, K.

doi:10.1109/icsgce49177.2020.9275651

Cited by 9 publications

(2 citation statements)

References 77 publications

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“…Microgrids are increasingly being used around the world to supply local and small-scale electricity as an alternative/supplement to large central power systems [5]. If fact, several studies investigate the positive impact of applying a microgrid system [6][7][8][9]. Microgrids are developed by transmission and distribution grids.…”

Section: Introductionmentioning

confidence: 99%

Techno-Environmental Analysis of a Microgrid Energy System in a University Office Complex

Almohaimeed

2023

Sustainability

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The world is undergoing an irreversible shift towards clean energy. Microgrids are recognized as a key technology that holds significant potential to make a substantial difference in this regard. The paper provides a comprehensive overview of how microgrids work and their impact on climate. The research presented in this paper focuses on reducing carbon dioxide (CO2) in the main campus of Qassim University, Saudi Arabia, through the development and implementation of an engineering model that facilitates the installation of a microgrid system designed to meet the university’s sustainability goals. The study aims to explore possible solutions that can reduce emissions in the administrative building (A7) at Qassim University and meet the university environmental plan. Therefore, a comprehensive study is conducted to investigate the potential reduction in emissions associated with the installation of a microgrid system. This microgrid system operates in a grid-connected mode and comprises three main components: the load, a photovoltaic (PV) system, and batteries. The results of the study indicate that the microgrid reveals a notable transition in the primary sources of electricity. Moreover, the microgrid system proves its capability to meet a substantial portion of the daily energy requirements, highlighting its efficiency and effectiveness in addressing energy needs. The findings of this study highlight the significant potential of the proposed model in curbing carbon emissions, as it demonstrates a reduction from 615.8 to 147.4 Mt of CO2. This reduction aligns with the university’s commitment to sustainability and green initiatives. The computed decrease in carbon footprint emphasizes the possibility of the suggested model to encourage sustainable practices among the university community and mitigate the environmental consequences of energy usage.

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Section: Introductionmentioning

confidence: 99%

Techno-Environmental Analysis of a Microgrid Energy System in a University Office Complex

Almohaimeed

2023

Sustainability

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“…As Microgrids oferecem mais capacidade de gerenciamento e coordenac ¸ão em func ¸ão da incorporac ¸ão dos benefícios das tecnologias da informac ¸ão e comunicac ¸ão [Singh and Gore 2021]. Essas redes são de pequeno porte, podendo integrar diferentes tipos de fontes de energia [Meje et al 2020]. Essas características, tornam possível a eletrificac ¸ão de áreas remotas, implantac ¸ão de recursos energéticos renováveis e descarbonizac ¸ão do fornecimento de energia [Papageorgiou et al 2020].…”

Section: Introduc ¸ãOunclassified

KaspaFog: uma abordagem na névoa para o gerenciamento de fontes e cargas de eletricidade de uma Microgrid com foco na redução energética

Barros¹,

Souza²,

Barbosa³

et al. 2021

Anais Do XXXIX Simpósio Brasileiro De Redes De Computadores E Sistemas Distribuídos (SBRC 2021)

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Em Microgrids a produção de energia é realizada combinando fontes renováveis e não renováveis de geração de energia. Desse modo, é fundamental o controle da geração não renovável para evitar o desperdício. Esse tipo de problema tem sido investigado por várias pesquisas, que empregam variações do ajuste do controlador Proporcional-Integral-Derivativo (PID) para evitar perdas de energia. Entretanto, nenhum dos trabalhos empregou uma estratégia para reduzir o tempo de equilíbrio entre os geradores de energia. Nesse contexto, este trabalho apresenta o KaspaFog, uma abordagem que emprega uma estratégia de predição de dados utilizando o modelo SARIMA e uma rede neural com aprendizado por reforço para ajustar o controle da geração de energia. O KaspaFog é uma infraestrutura na névoa apoiada pela nuvem, devido à necessidade de processamento e tempos de respostas rápidos. Com o uso do KaspaFog, foi alcançada uma redução de 18% na produção de energia não renovável em comparação ao ajuste Ziegler-Nichols.

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