In this paper, an Economic Dispatch (ED) model is developed for the system consisting of both thermal generators and wind turbines. The inclusion of a significant amount of wind energy into power systems has resulted in additional constraints on ED to accommodate the intermittent nature of the output. The probability of stochastic wind power based on the Weibull probability density function is ...

With the growing environmental depletion, shift in focus towards minimizing emissions of gases released conventional generators and further incorporation a cleaner alternate renewable source energy such as wind or solar to existing system is utmost importance. The research paper aims build an environmentally resilient electric power system. Real coded genetic algorithm- powerful optimization te...

Abstract Climate change and environmental protection have a significant impact on thermal plants. So, the main principles of combined economic-emission dispatch (CEED) problem are indeed to reduce greenhouse gas emissions fuel costs. Many approaches demonstrated their efficacy in addressing CEED problem. However, designing robust algorithm capable achieving Pareto optimal solutions under its mu...

Microgrids are a type of restricted power distribution systems in which electricity is generated, transmitted, and distributed within small geographic region. They used to ensure that renewable energy sources their full potential. provide further benefits, such as lowering transmission losses the expenses associated with them. This research compares contrasts aims economic dispatch, emission fr...

Economic dispatch problem is an optimization problem where objective function is highly non linear, non-convex, non-differentiable and may have multiple local minima. Therefore, classical optimization methods may not converge or get trapped to any local minima. This paper presents a comparative study of four different evolutionary algorithms i.e. genetic algorithm, bacteria foraging optimizatio...