New Algorithms for Classic Economic Load Dispatch

Abstract
This paper presents efficient and reliable algorithms to solve the classic economic load dispatch problem. In the conventional equal incremental method, an ambiguity exists for selecting a value of a relaxation coefficient. Since the value of the relaxation coefficient can be determined only from experience, there exist some examples whose convergence is very slow or convergence is not accomplishable. In order to overcome this defect, three algorithms are proposed, i.e., the parametric quadratic programming, the modified parametric quadratic programming and the recursive quadratic programming algorithm. A number of numerical tests for real system have been carried out to demonstrate the effectiveness of the proposed algorithms. The numerical results show that the proposed algorithms are practical for real-time applications.

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