A NEW APPROACH TO ECONOMIC LOAD DISPATCH BASED ON IMPROVED EVOLUTIONARY PROGRAMMING

This paper suggests an improved evolutionary programming to solve econ omic load dispatch problems with non-smooth fuel cost functions. Evolu tionary programming (EP), unlike mathematics-based methods, has the ca pability of adapting to nonlinearities and discontinuities found in po wer systems and can offer a tool for optimal operation of power system s. Until now, evolutionary programming based approaches have not focus ed on the strategies that cart deal with infeasible solutions. The pro posed approach combines EP with traditional mathematical techniques to consider linear equality constraints and nonlinear inequality constra ints and evolve population rapidly by introducing quadratic fit-line s earch technique. An improved EP algorithm has been tested in ELD probl ems with non-smooth fuel cost functions. Simulation results have shown the superiority of the proposed method to the conventional algorithms .