Mohammad Hadi Eskandari Sani - Department of Electrical Engineering , Technical and Vocational University (TVU), Tehran, Iran
Alireza Norouzpour Shahrbejari - Department of Electrical Engineering , Technical and Vocational University (TVU), Tehran, Iran

The smart grid is widely considered as the power grid information. As a fundamental feature of the smart grid, demand response can reschedule users' energy consumption to reduce the operating costs of expensive generators and further delay capacity expansion in the long term. The aim of this paper is to present a method to reduce consumption power that is formulated with a customer-aware pricing and a single-part demand response program (RTP) and by integrating wind and photovoltaic resources of a consumer with elasticity of -۱ and in a humid geographical area and The balance is solved by genetic algorithm in MATLAB in such a way that from the consumer's point of view the lowest price and from the network's point of view the lowest amount of power is received from the grid, and after the implementation of the proposed plan, the results before and after the demand response program are compared until the result of the plan A proposal should be specified

optimization, smart grid, Demand response, elasticity