Abstract
In this study, a home energy management system structure is developed in order to determine the optimal commitment of a smart-household. Two types of loads are explicitly modeled: non-thermostatically controllable (electric vehicle, shiftable appliances) and thermostatically controllable loads (air conditioner, electric water heater). Furthermore, small-scale self-production is considered by means of a photovoltaic system. A test case using realistic data is presented in order to investigate the combined effect of the aforementioned assets under real-time pricing demand response.
Keywords
Demand response
Photovoltaic system
Air conditioning
Computer science
Automotive engineering
Dynamic pricing
Order (exchange)
Scale (ratio)
Simulation
Engineering
Electricity
Electrical engineering
Business
Mechanical engineering
Economics
Microeconomics
Subject Areas
Smart Grid Energy Management
·Electrical and Electronic Engineering ·Physical Sciences
Energy Efficiency and Management
·Renewable Energy, Sustainability and the Environment ·Physical Sciences
Electric Vehicles and Infrastructure
·Electrical and Electronic Engineering ·Physical Sciences
Citations by Year
2017: 1
2019: 2
2020: 1
2021: 2
2022: 1
OpenAlex SDG Match
SDGs auto-classified by OpenAlex (score ≥ 0.4 shown).
Affordable and clean energy 82%
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