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Vehicle-to-Grid Technology meets Packetized Energy Management: A Co-Simulation Study

Freddy Tuxworth, Adnan Aijaz

TL;DR

The results demonstrate the capability of V2G EVs to act as an energy reservoir, effectively managing demand-side load, thus mitigating its fluctuation from available supply while maintaining quality-of-service.

Abstract

The global energy landscape is experiencing a significant transformation driven by increased awareness of climate change and rapid technological advancements in renewable energy and electric vehicles (EVs). Packetized energy management (PEM) schemes are gaining attention as a potential solution for power management for effective load control. This study presents the development of a co-simulation platform to investigate integration of vehicle-to-grid (V2G) with packetized energy trading (PET) in microgrid scenarios. The platform facilitates the interaction between EVs and prosumers, with a focus on responsive loads, and solar photovoltaic (PV) as intermittently available resources. Using the developed co-simulation, this study evaluates how V2G-capable EVs can enhance the stability and efficiency of PET-based microgrids. The results demonstrate the capability of V2G EVs to act as an energy reservoir, effectively managing demand-side load, thus mitigating its fluctuation from available supply while maintaining quality-of-service.

Vehicle-to-Grid Technology meets Packetized Energy Management: A Co-Simulation Study

TL;DR

The results demonstrate the capability of V2G EVs to act as an energy reservoir, effectively managing demand-side load, thus mitigating its fluctuation from available supply while maintaining quality-of-service.

Abstract

The global energy landscape is experiencing a significant transformation driven by increased awareness of climate change and rapid technological advancements in renewable energy and electric vehicles (EVs). Packetized energy management (PEM) schemes are gaining attention as a potential solution for power management for effective load control. This study presents the development of a co-simulation platform to investigate integration of vehicle-to-grid (V2G) with packetized energy trading (PET) in microgrid scenarios. The platform facilitates the interaction between EVs and prosumers, with a focus on responsive loads, and solar photovoltaic (PV) as intermittently available resources. Using the developed co-simulation, this study evaluates how V2G-capable EVs can enhance the stability and efficiency of PET-based microgrids. The results demonstrate the capability of V2G EVs to act as an energy reservoir, effectively managing demand-side load, thus mitigating its fluctuation from available supply while maintaining quality-of-service.
Paper Structure (24 sections, 9 figures, 2 algorithms)

This paper contains 24 sections, 9 figures, 2 algorithms.

Figures (9)

  • Figure 1: Illustration of the PEM concept (adapted from PEM_intro1. The first graph shows a peak in demand overloading grid supply, the second shows the same load packetized, and the third shows the same with excess demand shifted to times of higher supply availability.
  • Figure 2: Illustration of overall system model and simulation scenario for PET.
  • Figure 3: Locations of 30 EVs over a sample four-day period.
  • Figure 4: Battery discharge due to driving for 30 EVs (sample four-day period).
  • Figure 5: Scenario 1: (a) HVAC performance; (b) load breakdown; (c) price.
  • ...and 4 more figures