Abstract

Using Electric Vehicles (EV) as Flexible Resources (FR) to increase surplus Photovoltaic (PV) power utilisation is a well-researched topic. Our previous study showed that EVs are viable as supplementary FRs in large capacity PV power systems, where EVs are likely to gather (i.e., workplaces). However, that study assumed all EVs to have identical arrival and departure times (availability), and battery capacities. As these characteristics may vary between EVs and affect their performance as FRs, this study expands the modelling of EVs to consider a variety of availabilities and battery capacities. To effectively utilise a variety of EVs as FRs, an Optimisation Electric-load Dispatching model is used to formulate priority schemes for charging and discharging the EVs based on their potential to contribute to the power system. The priority schemes are evaluated by simulating the annual operation of the power system both with and without the priority schemes, and comparing results. The power system is simulated using a Unit-Scheduling and Time-series Electric-load Dispatching model. The priority schemes reduced annual CO2 emissions by nearly 1%, compared to the case without the priority schemes. The performances of different EVs as FRs when the priority schemes are used and not used are also analysed.

Highlights

  • Even though the Electric Vehicles (EV) are only usable as Flexible Resources (FR) for a limited amount of time, the results show that the EVs and the Battery Energy Storage System (BESS) are comparable to the single large capacity BESS at reducing the annual CO2 emissions of the workplace

  • This section investigates the impact on power system performance caused by increasing the variety of EVs being considered during the power system simulation, and the effectiveness of the formulated priority schemes towards curtailing that impact

  • To maximise the potential of each EV as a flexible resource, this study proposes a method for formulating EV charging/discharging priority schemes

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Summary

Introduction

Especially Photovoltaic (PV) systems, are being installed on a large scale to reduce emissions resulting from energy production. According to IEA’s ‘Net-Zero Emissions by 2050’ report, solar PV and wind power will supply around 40% of total energy demands by 2030 [1]. PV systems, in particular, have to be installed in capacities greater than the peak demand due to their low capacity factor. This will result in large quantities of surplus power in the grid, especially in power systems with high ratios of PV systems. With many businesses pledging to satisfy their energy demands via renewables [2], PV systems will likely be installed in workplaces, office buildings, etc., in much greater capacities

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