Iraj Sahraei - Islamic Azad University of Ardabil, Ardabil, Iran
Aref Jalili - Islamic Azad University of Ardabil, Ardabil, Iran
Hamid Asadi Bagal - Young Researchers and Elite Club, Ardabil Branch, Islamic Azad University, Ardabil, Iran

The aim of this study is to incorporate solar and wind-based systems into load management such that this collective performance benefit both energy suppliers and consumers. In this modelling, initially equations of the system in market are written and merged with each other. Uncertainty is also considered to increase profit and it will be shown that uncertainty can affect the profit of system. The utilized method for price forecast is day-ahead price forecasting and the main goal is to increase system’s profit. The selected software for system simulation is MATLAB and a mathematical method will be used to optimize market. Furthermore, hybrid GAPSO algorithm Has been used to problem optimization.

Demand response,Load uncertainty,Distribution network,GAPSO algorithm,Renewable energy