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Hybridized Intelligent Home Renewable Energy Management System for Smart Grids

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  • Yonghong Ma

    (School of Economics and Management, Harbin Engineering University, Harbin 150001, China)

  • Baixuan Li

    (School of Economics and Management, Harbin Engineering University, Harbin 150001, China
    Academy of Agricultural Planning and Engineering, Beijing 100125, China)

Abstract

The incorporation of renewable energies and power storage at distribution facilities are one of the important features in the smart grid. In this paper, a hybridized intelligent home renewable energy management system (HIHREM) that combines solar energy and energy storage services with the smart home is planned based on the demand response and time of consumption pricing is applied to programs that offer discounts to consumers that reduce their energy consumption during high demand periods. The system is designed and handled with minimal energy requirements at home through installation of renewable energy, preparation, and arrangement of power stream during peak and off-peak periods. The best energy utilization of residential buildings with various overlapping purposes is one of the most difficult issues correlated with the implementation of intelligent micro-network systems. A major component of the smart grid, the domestic energy control system (HIHREM) provides many benefits, such as power bill reductions, reduction in wind generation, and demand compliance. This showed that the proposed energy scheduling method minimizes the energy consumption by 48% and maximizes the renewable energy consumed at the rate 65% of the total energy generated. A new model for smart homes with renewable energies is introduced in this report. The proposed HIHREM method achieves high performance and reduces cost-utility.

Suggested Citation

  • Yonghong Ma & Baixuan Li, 2020. "Hybridized Intelligent Home Renewable Energy Management System for Smart Grids," Sustainability, MDPI, vol. 12(5), pages 1-14, March.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:5:p:2117-:d:330418
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    References listed on IDEAS

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    1. Zhou, Bin & Li, Wentao & Chan, Ka Wing & Cao, Yijia & Kuang, Yonghong & Liu, Xi & Wang, Xiong, 2016. "Smart home energy management systems: Concept, configurations, and scheduling strategies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 61(C), pages 30-40.
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    Cited by:

    1. Jonas Sievers & Thomas Blank, 2023. "A Systematic Literature Review on Data-Driven Residential and Industrial Energy Management Systems," Energies, MDPI, vol. 16(4), pages 1-21, February.
    2. Ángeles Verdejo-Espinosa & Macarena Espinilla-Estévez & Francisco Mata Mata, 2020. "Smart Grids and Their Role in Transforming Human Activities—A Systematic Literature Review," Sustainability, MDPI, vol. 12(20), pages 1-26, October.
    3. Luis Gomes & António Coelho & Zita Vale, 2022. "Assessment of Energy Customer Perception, Willingness, and Acceptance to Participate in Smart Grids—A Portuguese Survey," Energies, MDPI, vol. 16(1), pages 1-16, December.
    4. Nakıp, Mert & Çopur, Onur & Biyik, Emrah & Güzeliş, Cüneyt, 2023. "Renewable energy management in smart home environment via forecast embedded scheduling based on Recurrent Trend Predictive Neural Network," Applied Energy, Elsevier, vol. 340(C).
    5. Sameh Mahjoub & Larbi Chrifi-Alaoui & Saïd Drid & Nabil Derbel, 2023. "Control and Implementation of an Energy Management Strategy for a PV–Wind–Battery Microgrid Based on an Intelligent Prediction Algorithm of Energy Production," Energies, MDPI, vol. 16(4), pages 1-26, February.

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