Optimization of power balance transaction based on renewable energy sources using artificial salmon tracking algorithm for modeling the interconnected grid development

Abstract

Since environmental requirements penetrate engineering processes to keep global warming and to reduce pollutant emissions, the system operation should be designed based on environmentally approach friendly. Operationally, the system processes are supported by energy suppliers to meet continuously energy transaction while clean and green energies are also targeted to keep the environmental conditions. In other word, the renewable energy source becomes an opportunity integration of a potential natural source inclusion into conventional energy producers. Technically, the energy balance is also important to optimize to get an optimal power portion during the operating period. These works are prioritized to search the balanced combination of the integrated energy mix composition. The works also present the novel computational intelligence to find out the energy portion using Artificial Salmon Tracking Algorithm. By considering technical requirements and tested on the integrated renewable energy plants, this algorithm is applied to optimize the economic power production. The works show dynamically the total power for feeding the energy consumption through local loads. The power production is also balanced in various combination portions of energy sources in accordance with the power demand as similar as discharged pollutants. Moreover, the computation has been obtained clearly for optimal solutions within 24 hours using a proposed algorithm.