No abstract

In this paper, a method to determine the multi-objective ORPD issue in an unbalanced bus system is presented. In contrast to conventional ORPD issue, the proposed method attains the improvement in voltage enhancement, maximization in loadability, enhancement in ATC, minimization of loss under the unbalanced criteria. In order to determine the optimal positioning and sizing of the UPFC, the ORPD is accomplished by utilizing a hybrid CSA and GWO algorithm. Finally, the simulation outcomes on the benchmark IEEE test bus systems under unbalanced conditions reveal the ORPD performance of the proposed method against the conventional methods. Even under the overloading circumstances, the proposed method has shown its performance in retaining an optimal trade-off between the multiple objectives. Here, the analysis also comprises an examination of the sensitivity of the method over the overloading conditions of the bus system. At last, the simulation outcomes assure that the proposed method is better than the traditional methods such as GWO and CSA.

No abstract

Power flow is nothing but the flow of active and reactive power .To achieve the steady state operating condition of a power system , power flow analysis (PFA) is used . In short , it is to find the approximate values of P,Q,V and ᵟ at various buses , lines flows , generators and loads under steady state condition .Heuristic methods are generally referred as experience based techniques for solving problem, learning and discovery. Heuristics are simple and efficient rules coded by evolutionary processes. In this paper , GA , genetic algorithm ,one of such heuristic algorithms have been used to do the power flow analysis in a simple three bus system.