electric vehicle battery management and improvement Load consumption pattern with fuzzy modeling

Document Type : Original Article

Author

abru

Abstract

Currently, with the development of energy production technologies, increased attention to environmental issues and
Interest to improve the reliability of electrical energy distribution networks, the possibility and the necessary motivation for
Changing the distribution networks from passive to active mode and the desire to produce renewable energy
The level of distribution systems is provided. In this article, using the wolf optimization algorithm
To solve the problem of optimal planning of the distribution network in the presence of gray smart parking lots (GWO).
Electric cars are paid at the network level. The objective function of the distribution network optimal planning problem
In the presence of electric vehicles, minimizing the cost of network planning, including the cost of network operation,
The cost of power delivered by electric vehicles, reducing system losses, improving the quality of network power included
Reducing the network peak load and improving the load consumption pattern. In order to solve the multi-objective problem
Fuzzy method is used for it and fuzzy functions are extracted for each objective function
It resolves to IEEE. Sample distribution network of 54 standard buses Ⅿax−Ⅿin and with the help of operator
The title of the studied network is considered and the network development plans in two modes with and without
The presence of electric cars are compared to each other.

Keywords

References

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Fuzzy Systems and its Applications
Volume 5, Issue 2 - Serial Number 11
January 2023
Pages 247-270

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History

  • Receive Date: 14 September 2022
  • Revise Date: 11 December 2022
  • Accept Date: 11 January 2023

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