چكيده به لاتين
In this thesis, a program is presented for energy consumption of subscribers, without losing their load and only by changing their energy consumption in smart grids.
In this thesis, after reviewing the related researches, the game theory, game models, Nash equilibrium points and the best respond have been addressed. Then, the smart grid is examined and it introduces the history and benefits of this network than the traditional network in terms of economic and functional reasons for moving to the intelligent network and its infrastructure.
One of the most important parts of grid management is the load response program. Its implementation in the intelligent network is more responsive than the traditional network, based on the price, incentive payments and its subsets, and expressing the model with mathematical formulas. is a minimization issue. The minimization problem is solved by the games theory and considering two types of fossil and renewable power plants with the assumption of a second-rate charge and designed to optimize the cost of common energy consumption. Each subscriber uses a solar cell and battery that can save energy in different hours, save energy in battery at nonpeak hours, and use in in peak hours. The simulation results in the dissertation indicate a decrease in the energy consumption of the grid and reduce the cost of paying users.
Keywords: Demand Side Management, Smart Grid, Game Theory, Fossil Power Plant, Renewable Power Plant
