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Energies
Volume 13
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10.3390/en13102562
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Article

Dynamic Residential Energy Management for Real-Time Pricing

by
Leehter Yao
1,*,
Fazida Hanim Hashim
2 and
Chien-Chi Lai
1
1
Department of Electrical Engineering, National Taipei University of Technology, Taipei 10608, Taiwan
2
Faculty of Engineering and Built Environment, National University of Malaysia, Selangor 43600, Malaysia
*
Author to whom correspondence should be addressed.
Energies 2020, 13(10), 2562; https://doi.org/10.3390/en13102562
Submission received: 4 May 2020 / Revised: 12 May 2020 / Accepted: 12 May 2020 / Published: 18 May 2020
(This article belongs to the Section G: Energy and Buildings)
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Abstract

A home energy management system (HEMS) was designed in this paper for a smart home that uses integrated energy resources such as power from the grid, solar power generated from photovoltaic (PV) panels, and power from an energy storage system (ESS). A fuzzy controller is proposed for the HEMS to optimally manage the integrated power of the smart home. The fuzzy controller is designed to control the power rectifier for regulating the AC power in response to the variations in the residential electric load, solar power from PV panels, power of the ESS, and the real-time electricity prices. A self-learning scheme is designed for the proposed fuzzy controller to adapt with short-term and seasonal climatic changes and residential load variations. A parsimonious parameterization scheme for both the antecedent and consequent parts of the fuzzy rule base is utilized so that the self-learning scheme of the fuzzy controller is computationally efficient.
Keywords: fuzzy controller; home energy management system; genetic algorithm; photovoltaic panel; real-time price fuzzy controller; home energy management system; genetic algorithm; photovoltaic panel; real-time price

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MDPI and ACS Style

Yao, L.; Hashim, F.H.; Lai, C.-C. Dynamic Residential Energy Management for Real-Time Pricing. Energies 2020, 13, 2562. https://doi.org/10.3390/en13102562

AMA Style

Yao L, Hashim FH, Lai C-C. Dynamic Residential Energy Management for Real-Time Pricing. Energies. 2020; 13(10):2562. https://doi.org/10.3390/en13102562

Chicago/Turabian Style

Yao, Leehter, Fazida Hanim Hashim, and Chien-Chi Lai. 2020. "Dynamic Residential Energy Management for Real-Time Pricing" Energies 13, no. 10: 2562. https://doi.org/10.3390/en13102562

APA Style

Yao, L., Hashim, F. H., & Lai, C.-C. (2020). Dynamic Residential Energy Management for Real-Time Pricing. Energies, 13(10), 2562. https://doi.org/10.3390/en13102562

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