Due to ecological and economic benefits, variable energy sources are considered as a key factor in the world-wide energy security. The main operational problems associated with these sources are their variability and intermittency. Therefore, the inclusion in the fleet of the energy mix as the standard conventional generators is difficult. The wind energy is among the most dominant renewable source. Furthermore, this paper focuses on the inclusion of the wind energy impact on the Economic Dispatch (ED) optimization problem. The ED problem also considers the minimization of pollutant emissions from fossil-based sources. The Thunderstorm Algorithm (TA) is presented in this paper as a new intelligent computation technique for optimizing the Integrated Wind Energy and Pollutant Emissions into the Economic Dispatch (IWEPEED) problem. The algorithm is tested on the modified IEEE 62-bus system with wind energy integrated into the system as an area developing model of Java Bali Power Grid development. The results show the potential and success of the TA for solving the IWEPEED optimization problem with a short computational time and a fast convergence.
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