Artificial Immune System based novel optimization approach is proposes for the solution of Economic Load Dispatch problem with valve point effect. The solution of constraint based Economic Load Dispatch problem is obtained taking valve point effect for thermal units. Artificial Immune System based clonal selection principle is successfully applied for the solution of Economic Load Dispatch Problem. The developed AIS technique uses the total operating cost as objective function and it is represented by affinity measure wherein cloning of antibodies is performed and followed by hyper mutation. Through genetic evolution, the affinity measures are produced and the best individuals are selected for the solution. The proposed algorithm is tested with multiple units (3 and 6) and multi fuel (wind, biodiesel) conditions, with multiple constraints like Nonconvex/non smooth cost functions, ramp rate limits, prohibited operating zones for thermal units results are compared with other prevalent methods like Lambada Iteration and Genentic Algorithm. The results divulge that the method is easy to implement, fast convergent and applicable for the solution of complex ELD problem.
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