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Design of a voting based smart energy management system of the renewable energy based hybrid energy system for a small community

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  • Bhattacharjee, Somudeep
  • Nandi, Champa

Abstract

To reduce greenhouse gas emissions from the conventional power plant, the role of renewable energy-based hybrid systems is essential. These hybrid systems require a proficient energy management system for efficiently managing the energy from different energy sources to maintain the load-supply power balance. This is vital to save energy, diminish energy costs and attain global emission targets. This paper proposes the design of a voting based smart energy management system (VSEMS) of a grid-connected solar-wind-biomass based hybrid energy system. VSEMS utilizes a novel rule-based energy management algorithm (EMA) for taking its decisions. The proposed approach increases customer participation in the decision-making related to their energy supply and also control the intermittency of renewable energy sources efficiently. The efficacy of the proposed algorithm in the real-world environment is validated by doing a case study analysis using yearly usage profile. Results demonstrate the viability and effectiveness of the proposed algorithm in energy management operation. Additionally, results show that the proposed system is economical and quite nature-friendly.

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  • Bhattacharjee, Somudeep & Nandi, Champa, 2021. "Design of a voting based smart energy management system of the renewable energy based hybrid energy system for a small community," Energy, Elsevier, vol. 214(C).
    • Handle: RePEc:eee:energy:v:214:y:2021:i:c:s0360544220320843
    DOI: 10.1016/j.energy.2020.118977
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    1. Schaefer, Jones Luís & Mairesse Siluk, Julio Cezar & Stefan de Carvalho, Patrícia & Maria de Miranda Mota, Caroline & Pinheiro, José Renes & Nuno da Silva Faria, Pedro & Gouvea da Costa, Sergio Eduard, 2023. "A framework for diagnosis and management of development and implementation of cloud-based energy communities - Energy cloud communities," Energy, Elsevier, vol. 276(C).
    2. Razmjoo, Armin & Mirjalili, Seyedali & Aliehyaei, Mehdi & Østergaard, Poul Alberg & Ahmadi, Abolfazl & Majidi Nezhad, Meysam, 2022. "Development of smart energy systems for communities: technologies, policies and applications," Energy, Elsevier, vol. 248(C).
    3. Bhattacharjee, Somudeep & Das, Ivan & Nandi, Champa, 2023. "A data-centric analysis of climate change in India: A reflection on electricity sector," Technological Forecasting and Social Change, Elsevier, vol. 190(C).

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