Study of Tent Map Differential Evolution Algorithm for optimal Reactive Power Planning in Power Systems

Abstract

Optimal Reactive Power planning (ORPP) is one of the highest exciting complications in power systems. Dissimilar methods including classical and experimental methods have been utilized to address the problem successfully. It is detected that achievement of heuristic techniques largely be contingent on the selection of some user control parameters. Numerous turns are essential to discovery the optimal values of control parameters. Again these parameters are usually problematic needy. In other words, for different problems these parameters are to be selected separately. A wrong parameter selection may even lead to premature convergence. No particular rule is available for setting these parameters. A new improved hybrid algorithm for optimal reactive power planning (ORPP) problem combining with chaos theory is proposed in this paper. A self-adaptive parameter automation strategy is adopted is this paper. For the present work, tent map chaotic sequence is used and the proposed technique is termed as tent map differential evolution (TMDE). The possible locations for installation reactive power compensating devices are found using New Voltage Stability Index (NVSI) method. Minimization of loss and system cost are taken into account in problem formulation. The planned algorithm is beneficial on IEEE-30 bus system in order to verify its success and efficiency. A comparison result with other recent methods is presented which shows the capability of the proposed technique in producing good quality solutions