Energy Management and Techno-Economic analysis of Solar, Wind, and Grid-connected EV Charging station: A Case Study in India

Abstract

Globally, electric mobility is growing in popularity. The charging station appears to be an integral part of the overall strategy. A solar photovoltaic (PV) and wind energy system as local energy sources to deliver power for an electric vehicle charging station becomes crucial to generating profit and environmental benefits compared to a local grid-powered charging station. An economic and technical evaluation of a charging station that draws power from multiple sources will be carried out to assess the economic factors for charging station operators. This investigation makes reference to the city of Santalpur in the Indian state of Gujarat. The various types of power flow are developed based on the production of power in real time. The system is designed to charge 60 electric vehicles at various times throughout the day. In MATLAB, the proposed system is evaluated. The proposed method is contrasted with an electric vehicle (EV) charging station that uses only grid electricity. The results demonstrate that the proposed method yields a 21% increase in daily profit. In addition, there has been a 44% reduction in grid stress. The proposed system has a payback period of three and a half years and reduces annual carbon emissions by eighty-two tonnes.

Introduction: The transition to electric mobility is one potential global strategy for lowering greenhouse gas emissions in the transportation sector. The worldwide EV3030 movement, which has set the target of having at least 30% of all newly sold cars be electric by 2030, is supported by just a select few nations, including India.

Objectives: To reduce grid burdern. Increse profit for charging station owner. Reduce carbon emission.

Methods: As per renewable energy assessment, the four modes of energy flow are designed.

To verify that the PV-wind hybrid system meets the load power requirement, the PPV and PW must be calculated. The goal function is developed by taking dependability into account.

The difference between produced and demanded power is computed as follows:

In the event that generation from these sources is insufficient to meet load demand, electricity is drawn from the grid at a cost of Pg (t). In addition, the excess electricity from the sources after fulfilling the load demand is sold to the grid at Pg (t). On the grid side, it is considered that there are no constraints on selling and buying electricity. The instances are generated as follows with respect to DP (t).

Conclusions: In the context of the Indian power market, this paper examines energy management and techno-economic analysis in relation to the cost-effective strategy of solar, wind, and grid-powered EV charging stations (SWGP-EVCS). The proposed approach is contrasted with a baseline EV charging station that only uses grid electricity (GP-EVCS). The dynamic demand from EVs and the real-time forecasted energy from renewable sources have been taken into consideration while creating the four modes of energy flow. As per the techno-economic analysis, the proposed SWGP-EVCS base system has the following key findings against GP-EVCS:

• Has a 21% increase in profit on an exercised day.


• There has been a 44% reduction in grid stress.


• It reduces carbon emissions by 82 tones in a year.

However, GP-EVCS has a payback period of 2.3 years, whereas a SWGP-EVCS has a 3.5 year payback due to the higher initial investment.

The proposed system can be applied to large scale EV charging networks.