Abstract

Based on the characteristics of electric vehicles (EVs), this paper establishes the load models of EVs under the autonomous charging mode and the coordinated charging and discharging mode. Integrating the EVs into a microgrid system which includes wind turbines (WTs), photovoltaic arrays (PVs), diesel engines (DEs), fuel cells (FCs) and a storage battery (BS), this paper establishes multi-objective economic dispatch models of a microgrid, including the lowest operating cost, the least carbon dioxide emissions, and the lowest pollutant treatment cost. After converting the multi-objective functions to a single objective function by using the judgment matrix method, we analyze the dynamic economic dispatch of the microgrid system including vehicle-to-grid (V2G) with an improved particle swarm optimization algorithm under different operation control strategies. With the example system, the proposed models and strategies are verified and analyzed. Simulation results show that the microgrid system with EVs under the coordinated charging and discharging mode has better operation economics than the autonomous charging mode. Meanwhile, the greater the load fluctuation is, the higher the operating cost of the microgrid system is.

Highlights

  • In recent years, people have been paying more and more attention to developing renewable energy resources due to the serious global energy shortage and environmental issues

  • On the basis of mathematical models of electric vehicles (EVs), considering the operating cost, pollutant treatment cost and carbon dioxide emissions as the dispatch objective functions of the microgrid system, this paper uses the judgment matrix method to convert the multi-objective functions to a single objective function, uses an improved particle swarm algorithm (PSO) to simulate an example of the microgrid system’s economic dispatch, including V2G under different operation control strategies

  • From 11:00 to 16:00, the costs of diesel engines (DEs) and fuel cells (FCs) are lower than the power grid, the excess electricity is fed to the power grid to improve the economics after meeting the load demand

Read more

Summary

Introduction

People have been paying more and more attention to developing renewable energy resources due to the serious global energy shortage and environmental issues. It is solved by dividing the dispatch cycle into small time intervals of 1 minute or 5 minutes, and a static economic dispatch is employed to solve the problem in each interval [11] This takes the coordination of the adjacent scheduling periods into account. This paper establishes a microgrid system which includes wind turbines (WTs), photovoltaic arrays (PVs), diesel engines (DEs), fuel cells (FCs), a storage battery (BS) and plug-in EVs. On the basis of mathematical models of EVs, considering the operating cost, pollutant treatment cost and carbon dioxide emissions as the dispatch objective functions of the microgrid system, this paper uses the judgment matrix method to convert the multi-objective functions to a single objective function, uses an improved particle swarm algorithm (PSO) to simulate an example of the microgrid system’s economic dispatch, including V2G under different operation control strategies. The simulation results verify the validity of the models and strategies

Spatial and Temporal Characteristics of EVs
The Load Model under Autonomous Charging Mode
The Load Model under Coordinated Charging and Discharging Mode
Multi-Objective Functions of the Microgrid System
Multi-Objective Function Handling Based on the Judgment Matrix Method
Dispatch Control Strategies
Basic PSO
Improved PSO
PSO Process
Example System
The Simulation Results of the Daily Load of EVs
Comparative Analysis of PSO Algorithms
Analysis of the Output of DGs
Analysis of the Objective Function Cost
The Influence of Load Uncertainty
Conclusions

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.