Program of Smart network load response Based on the charging of electric vehicles Using game theory algorithm
Subject Areas : Electrical engineering (electronics, telecommunications, power, control)
Mozhde Heydarianasl
1
*
,
Hassan Ostovar
2
1 -
2 -
Keywords: Smart microgrid, solar cell, algorithmic game theory, microgrid production,
Abstract :
Since the charging of electric vehicles is one of the basic solutions for technical and economic management in the electricity distribution network, therefore, in the current research, a model for operating a smart microgrid including producers such as photovoltaic cells, wind turbine, energy storage system and Electric vehicle consumers are presented. The proposed micro-grid leads to reduction of losses, reduction of network peak load and also reduction of charging costs. This microgrid is designed in two modes, in the first stage it is completely isolated from the national network. In this modeling, for the uncertainties of wind production, solar production and the possibility of applying physical control of the equipment, the average radiation and wind data of the target area have been used. In the second stage, the demand response optimization program based on the game theory algorithm for the smart microgrid connected to the national network has been designed in the form of two proposals for load shedding and microgrid generation to reduce the load capacity in the problem. In order to validate the proposed method, two different modeling of smart microgrids have been done in MATLAB and GAMS software. According to the amount of energy cost obtained in the independent microgrid mode, the expected amount of unsupplied energy showed a decrease of 18%. In the case of a microgrid connected to the national grid, while improving the performance of the unsupplied energy of the grid, reducing the pollution of production units was achieved after optimization. In general, the results of both surveys indicate the superiority of the proposed methods over other conventional methods. |
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