Electric Vehicles Aggregation for Frequency Control of Microgrid under Various Operation Conditions Using an Optimal Coordinated Strategy

Iqbal, Sheeraz; Habib, Salman; Khan, Noor Habib; Ali, Muhammad; Aurangzeb, Muhammad; Ahmed, Emad M.

doi:10.3390/su14053108

Cited by 27 publications

(19 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…One of the most important aspects of making use of the energy resources spread across a network is improving power quality (PQ), which has become a hot subject in recent scientific literature. This study [15] is aimed at suggesting a practical solution to some of the more common and potentially hazardous PQ issues and voltage sags in light of the increasing popularity of electric cars. The feasibility of the vehicle-togrid (V2G) function as a means of compensating for PQ i. Initialize the battery output voltage V i to the grid voltage V g .…”

Section: Related Workmentioning

confidence: 99%

A Novel Hybrid Approach for Power Quality Improvement in a Vehicle-to-Grid Setup Using Droop-ANN Model

Aurangzeb

Xin

Iqbal

et al. 2023

International Journal of Energy Research

Self Cite

View full text Add to dashboard Cite

The integration of electric vehicles (EVs) in the power grid has attracted considerable attention due to its potential benefits, such as demand response and power quality improvement. However, the intermittent and unpredictable nature of EVs’ charging and discharging behavior can cause significant challenges to the grid’s stability and power quality. This research study explores the use of a droop-ANN model to improve power quality in vehicle-to-grid (V2G) systems. The proposed approach integrates an artificial neural network (ANN) into the droop control technique to accurately predict the voltage and frequency of the charger. Through simulations, the model’s effectiveness in reducing power fluctuations and enhancing power quality was validated. The results indicate that the droop-ANN model significantly improves power quality across various battery state of charge (SoC) and charging/discharging scenarios. The findings highlight the potential of the droop-ANN model to enhance stability and reliability in V2G systems. Further research is needed to validate the model in real-world applications and explore its full potential. Overall, the droop-ANN model offers a promising solution for improving power quality in V2G systems.

show abstract

Section: Related Workmentioning

confidence: 99%

A Novel Hybrid Approach for Power Quality Improvement in a Vehicle-to-Grid Setup Using Droop-ANN Model

Aurangzeb

Xin

Iqbal

et al. 2023

International Journal of Energy Research

Self Cite

View full text Add to dashboard Cite

show abstract

“…Energy storage and an SFCL can be used in a flexible DC system powered by renewable sources to smooth out voltage swings under normal conditions and limit current spikes in the case of a malfunction [25,26]. Few studies have looked at the self-acting protection of power electronic equipment and DC-DC converters utilising a low-cost SFCL device for their applications in renewable-based microgrids (fault durations are generally from hundreds to thousands of milliseconds; [27][28][29]).…”

Section: Related Workmentioning

confidence: 99%

Utilizing Parallel Superconducting Element as a Novel Approach of Flux-Coupled Type SFCL to Limit DC Current in the System

et al. 2022

Self Cite

View full text Add to dashboard Cite

To lessen the amount of energy lost during transmission, electricity is increasingly being sent using high-voltage lines. Transmission loss in a DC system is lower than in an AC system over long distances. The DC system can improve the efficiency of long-distance transmission by connecting power grids with different requirements. The DC method is becoming popular since it helps to keep the grid stable. Managing and blocking DC flow is crucial to system functionality. In this study, we explore the operation of a flux-coupled type superconducting fault current limiter (SFCL) in a DC system, where the two windings are connected in parallel to limit the fault current flow. A flux-coupled type SFCL is built by connecting two coils in parallel and a superconducting element (SE) in series with the secondary coil. The functions of an SFCL of the flux-coupled kind are equivalent in both direct and alternating current systems. Because of the opposing magnetic fluxes produced by the two coils, the voltage generated by the parallel connection of the coils is always zero. Inadequate SE leads to an increase in resistance, inhibiting the cancellation of opposing magnetic fluxes and hence a loss in power. Connecting the two coils in series allows voltage to be generated while the fault current is limited. To further validate the performance of SFCL with varying resistance and inductance, the system is additionally tested on the IEEE 39 bus system. The MATLAB/SIMULINK software suite is used to run the test system.

show abstract

“…Microgrids have a different time frame and implementation environment than lowerlevel control frameworks, and this study [16] investigates how these discrepancies in the EMS affect the microgrid. The average effects of renewables and loads, for instance, and the possibility of time shifting, and magnitude variation are only a few examples.…”

Section: Related Workmentioning

confidence: 99%

A Resilience-Oriented Bidirectional ANFIS Framework for Networked Microgrid Management

et al. 2022

Self Cite

View full text Add to dashboard Cite

This study implemented a bidirectional artificial neuro-fuzzy inference system (ANFIS) to solve the problem of system resilience in synchronized and islanded grid mode/operation (during normal operation and in the event of a catastrophic disaster, respectively). Included in this setup are photovoltaics, wind turbines, batteries, and smart load management. Solar panels, wind turbines, and battery-charging supercapacitors are just a few of the sustainable energy sources ANFIS coordinates. The first step in the process was the development of a mode-specific control algorithm to address the system’s current behavior. Relative ANFIS will take over to greatly boost resilience during times of crisis, power savings, and routine operations. A bidirectional converter connects the battery in order to keep the DC link stable and allow energy displacement due to changes in generation and consumption. When combined with the ANFIS algorithm, PV can be used to meet precise power needs. This means it can safeguard the battery from extreme conditions such as overcharging or discharging. The wind system is optimized for an island environment and will perform as designed. The efficiency of the system and the life of the batteries both improve. Improvements to the inverter’s functionality can be attributed to the use of synchronous reference frame transformation for control. Based on the available solar power, wind power, and system state of charge (SOC), the anticipated fuzzy rule-based ANFIS will take over. Furthermore, the synchronized grid was compared to ANFIS. The study uses MATLAB/Simulink to demonstrate the robustness of the system under test.

show abstract

Electric Vehicles Aggregation for Frequency Control of Microgrid under Various Operation Conditions Using an Optimal Coordinated Strategy

Cited by 27 publications

References 35 publications

A Novel Hybrid Approach for Power Quality Improvement in a Vehicle-to-Grid Setup Using Droop-ANN Model

A Novel Hybrid Approach for Power Quality Improvement in a Vehicle-to-Grid Setup Using Droop-ANN Model

Utilizing Parallel Superconducting Element as a Novel Approach of Flux-Coupled Type SFCL to Limit DC Current in the System

A Resilience-Oriented Bidirectional ANFIS Framework for Networked Microgrid Management

Contact Info

Product

Resources

About