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.
Highlights
Recent technological advances in smart grids, communication technologies, and renewable energy sources (RESs) have led to significant changes in the management of energy resources
The amount and scheduling of AC power is determined by the home energy management system (HEMS) in response to the variations in the solar energy generated from PV panels, load demands at home, status of charging (SOC)
Note that the fuzzy rule base with the fuzzy sets defined by the modulated triangular membership functions (MTMF) is valid only if the centers of the MTMF defined in Equation (17) are in a strictly increasing sequence
Summary
Recent technological advances in smart grids, communication technologies, and renewable energy sources (RESs) have led to significant changes in the management of energy resources. The proposed fuzzy controller dynamically determines the power drawn from the grid to reduce the electricity cost of smart homes Both load scheduling and energy management allow the HEMS to save energy cost and participate in DR programs under dynamic electricity prices. The amount and scheduling of AC power is determined by the HEMS in response to the variations in the solar energy generated from PV panels, load demands at home, SOC of the ESS, and the RTP. Denote F(·) as the fuzzy controller in the HEMS, the rectified power from the grid at the j-th time step can be defined as: It is shown in Equation (2) that the HEMS does not need power from the grid if the solar energy is sufficient to self-support the load demand.
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