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An agent-based model for optimal voltage control and power quality by electrical vehicles in smart grids

Hadizade, A ; Sharif University of Technology | 2019

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  1. Type of Document: Article
  2. DOI: 10.1007/978-3-319-99608-0_52
  3. Publisher: Springer Verlag , 2019
  4. Abstract:
  5. The electric power industry is the main part of Science development, and today, with the advent of technology, the demand for electric power has been expanded. On the other hand, smart grids are developing heavily. One of the notable features of these networks is the presence of a plug-in hybrid electric vehicle (PHEV). The addition of these cars to the network has its own advantages and disadvantages. One of the most important issues in smart grids is network management and control of critical system parameters. In this paper the effect of these cars on the grid is investigated. These vehicles impose an increase in production capacity in the uncontrolled charge mode. They also have the ability to inject power into the network and can assist the grid at peak consumption time, leading to peak shaving in daily load curve. Our main goal is to provide a way to manage the charge and discharge of these vehicles using the agent based model, in order to control the voltage of the system buses. © Springer Nature Switzerland AG 2019
  6. Keywords:
  7. Agent based model ; Optimal voltage control ; PHEV ; Power quality ; Smart grid ; Artificial intelligence ; Autonomous agents ; Computational methods ; Distributed computer systems ; Electric discharges ; Electric industry ; Electric power system control ; Plug-in hybrid vehicles ; Power control ; Power quality ; Quality control ; Simulation platform ; Vehicle-to-grid ; Voltage control ; Agent-based model ; Charge and discharge ; Electric power industries ; Network management and control ; Optimal voltages ; Plug in hybrid electric vehicles ; Smart grid ; Electric power transmission networks
  8. Source: 15th International Conference on Distributed Computing and Artificial Intelligence, DCAI 2018, 20 June 2018 through 22 June 2018 ; Volume 801 , 2019 , Pages 388-394 ; 21945357 (ISSN); 9783319996073 (ISBN)
  9. URL: https://link.springer.com/chapter/10.1007%2F978-3-319-99608-0_52