This paper proposes a new optimization algorithm called JAYA algorithm for solving the optimal reactive power dispatch (ORPD) problem. Minimizing the real power losses is one of main objective functions of (ORPD) problem. The ORPD problem is subjected to non-linear equality and inequality operational constraints. The proposed JAYA is a recently developed optimization algorithm. The main merit of Jaya algorithm is that the algorithm performance is liberated of specific control parameters adjustment. Therefore, it overcomes the limitations of previous optimization algorithms in terms of achieving the global optima atless computational efforts. The effectiveness of the proposed Jaya algorithm is proven on three standard systems namely IEEE 14-bus, 30-bus and 118-bus test systems. Added to that, Jaya is successively tested on the West Delta Real Network (WDRN) as a real part of the Egyptian grid. The obtained simulation results prove that the proposed JAYA algorithm has significant reduction in power losses for the tested system compared with other optimization algorithms. The obtained results confirm that the proposed JAYA optimization algorithm can make a noticeable enhancement on solving the ORPD problem for small and large-scale power systems.

This paper employs a comparative study between three recent versions of particle swarm optimization (PSO) algorithm to find the optimal scheduling of reactive power resources. Scheduling of reactive power resources is formulated as non-linear complex optimal reactive power dispatch (ORPD) problem. The main objective function of ORPD is to minimize the transmission power losses (Ploss). For this target, three modified versions, which present three variations applied on velocity equation of PSO algorithm, are considered. To achieve fair comparative study, the competitive versions are checked through 13 studied cases on IEEE 14-, 30-, 57- and 118-bus test systems. The effectiveness of these variations is proven for the non-linear complex optimization ORPD problem with different decision variables according to the system size. The obtained results confirm that these variations on PSO algorithm can make a noticeable reduction of Ploss at acceptable level in terms of power system operation view point.

No abstract

No abstract

No abstract