Dynamic Residential Energy Management for Real-Time Pricing

Leehter Yao, Fazida Hanim Hashim and Chien-Chi Lai
Additional contact information
Leehter Yao: Department of Electrical Engineering, National Taipei University of Technology, Taipei 10608, Taiwan
Fazida Hanim Hashim: Faculty of Engineering and Built Environment, National University of Malaysia, Selangor 43600, Malaysia
Chien-Chi Lai: Department of Electrical Engineering, National Taipei University of Technology, Taipei 10608, Taiwan

Energies, 2020, vol. 13, issue 10, 1-15

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 (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
https://www.mdpi.com/1996-1073/13/10/2562/pdf (application/pdf)
https://www.mdpi.com/1996-1073/13/10/2562/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:13:y:2020:i:10:p:2562-:d:359807

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().