Two-Stage Energy Management Strategy of EV and PV Integrated Smart Home to Minimize Electricity Cost and Flatten Power Load Profile

Abstract

The efficient use of the incorporation of photovoltaic generation (PV) and an electric vehicle (EV) with the home energy management system (HEMS) can play a significant role in improving grid stability in the residential area and bringing economic benefit to the homeowner. Therefore, this paper presents an energy management strategy in a smart home that integrates an electric vehicle with/without PV generation. The proposed strategy seeks to reduce the household electricity costs and flatten the load curve based on time-of-use pricing, time-varying household power demand, PV generation profile, and EV parameters (arrival and departure times, minimum and maximum limit of the state-of-charge, and initial state-of-charge). The proposed control strategy is divided into two stages: Stage A, which operates in three operating modes according to the unavailability of PV power generation, and Stage B, which operates in five operating modes according to the availability of PV generation. In this study, the proposed strategy enables controlling the amount of energy absorbed by the EV from the grid and/or PV and the amount of energy injected from the EV to the load to ensure that the household electricity costs are minimized, and the household power load profile is flattened. The findings show that both household electricity costs reduction and flattening of the power load profile are achieved. Moreover, the corresponding simulation results exhibit that the proposed strategy for the smart home with EV and PV provides better results than the smart home with EV and without PV in terms of electricity costs reduction and power load profile flattening.

Optimal Energy Scheduling Based on Jaya Algorithm for Integration of Vehicle-to-Home and Energy Storage System with Photovoltaic Generation in Smart Home

“…where The required energy for the electric vehicle trip distance can be represented by the following equation [33].…”

“…The required energy for the electric vehicle trip distance can be represented by the following equation [ 33 ]. where represents vehicle efficiency (kWh/km), and D represents the vehicle travel distance (km).…”

Electric Vehicle Battery Storage Concentric Intelligent Home Energy Management System Using Real Life Data Sets

“…As a result, the objective of this work is to illustrate the power consumer's flexibility by allowing the use of ESSs in the form of EV batteries. To deal with the significant penetration of inconsistent RESs, the V2H idea is viewed as a potential option [15]. In a multi-microgrid system, the idea of an EV aggregator has been employed to deliver electricity in the event of a contingencies with a strong emphasis on thermal safety and the deterioration of the on board lithium-ion battery [16].…”

Strategy of Large-Scale Electric Vehicles Absorbing Renewable Energy Abandoned Electricity Based on Master-Slave Game

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