Feasibility Investigation for Residential Battery Sizing Considering EV Charging Demand

Abstract

Photovoltaic (PV) systems along with battery energy storage systems (BESS) are an increasing trend for residential users due to the increasing cost of energy and environmental factors. Future sustainable grids will also have electric vehicles (EVs) integrated into these residential microgrids. However, this large-scale deployment of EVs and PV systems could mean several problems in terms of power quality, hosting capacity and as well economic implications. This paper aims to provide input to more optimal design and management of domestic PV and BESS for residential users with EVs. In this work, a measurement-based data set from a low-voltage distribution network in a rural area has been used. Investigation sees different household and PV-EV penetration levels to propose the BESS capacity and use cases. An economic analysis has been performed to check the feasibility of the proposed systems. The payback period is found to be between 13 to 15 years of the proposed systems.

An Optimal Distributed RES Sizing Strategy in Hybrid Low Voltage Networks Focused on EVs’ Integration

“…Table IX presents the values of the resultant weights for both optimization Scenarios. It is recalled that the first objective function concerns the cumulative energy costs of the residents (25), while the second objective function calculates their average energy costs (26). The weights w1, w2 and w3 are related to the EVs of each household.…”

“…To this end, two different objective functions are examined. The first approach (Opt RES -Objective 1) is defined by the sum of the total costs of each household (25), while the second one (Opt RES -Objective 2) takes into consideration the mean total costs of the households (26).…”

“…Scenario 3.A -Opt RES (Objective 1) -In this scenario the adoption of the proposed optimization algorithm is made, aiming to minimize the total energy cost (25), while the energy needs of the users are fully covered. Scenario 3.B -Opt RES (Objective 2) -In the last scenario, the adoption of the proposed optimization algorithm is made, aiming to minimize the mean energy cost (26), while the energy needs the users are fully covered.…”

“…The optimization is achieved by minimizing the payback period of the BESSs' investment costs. An investigation about the feasibility of residential BESS sizing, including EVs charging demands, has been studied in [26]. The residential consumption profiles and the EVs' charging profiles are added for the calculation of total energy consumption.…”

Mechatronics Technology and Transportation Sustainability

“…The included research work by Iqbal et al [7] focuses on estimating time-dependent charging and power quality aspects of grid-connected EVs. The research questions related to the charging demand of the EVs discussed in the contribution by Shabbir et al [8] extended the scope of the current SI. Sustainable electrical grids of the future include EVs as an essential part of consuming and producing electricity to the grid.…”