Integrated Isolation Niche and Immune Genetic Algorithm for solving Bid-Based Dynamic Economic Dispatch

This paper presents a novel algorithm-Isolation Niche Immune Genetic Algorithm for solving power system Bid-Based Dynamic Economic Dispatch (INIGA–BDED). Economic Dispatch determines the electrical power to be generated by the committed generating units in a power system so that the generation cost can minimized, while simultaneously satisfying various load demands. The Bid-Based Dynamic Economic Dispatch model is proposed in order to maximize the social profit under a competitive electricity market environment. This model synthetically considers various constraints on ramp rates, transmission line capacity and emission constraints. The Isolation Niche Immune Genetic Algorithm was induced as a new solution for this model. With the introduction of niche technology, the immune genetic algorithm capability in dealing with multi-peak model function optimization was enhanced. This paper proposes the Niche based on the Isolation mechanism which is based on biological possesses. The proposed method effectively ensures diverse group solutions and also has a strong ability to guide evolution. Using the immune genetic algorithm itself is a very good and innovative method for multi-peak model function solutions. A new improved method for this algorithm is also presented in this paper. This research integrated these two methods to enhance the evolutionary capability in seeking a more optimal solution for solving nonlinear programming. The test results from this integrated method were very good.

► Isolation Niche and Immune Genetic Algorithm can effectively improve the global search ability.
► It can achieve the real objective of the global optimal solutions.
► It can get the maximum social profit when compared with the other methods.
► The CPU computation time is less than that other algorithms adopted in this paper.