Abstract
This paper is concerned with the application of hybrid fuzzy-JAYA optimization algorithm to find the solution of non-linear optimal reactive power dispatch (ORPD) problem in power systems. The proposed hybrid optimization algorithm combines the merits of fuzzy principle and the Jaya optimizer. Fuzzification of the ORPD variables is employed by pseudo goal strategy. Two technical objectives are minimized individually and simultaneously to enhance the overall power systems performance. These objectives are transmission active power losses and voltage deviation at load buses. The ORPD objectives are optimized considering both inequality and equality constraints that reflect the operation needs. The hybrid fuzzy-JAYA is established as efficient optimization method that is achieving the global optimal solution. The effectiveness of the proposed hybrid algorithm for solving the ORPD problem is proven by using three standard IEEE test networks. An assessment of the proposed hybrid algorithm is carried out compared with other optimization algorithms those reported in the literature. The simulation results assure that the fuzzy Jaya hybrid algorithm leads to significant power system performance enhancement for different scale power systems.
Highlights
Solving the optimal reactive power dispatch (ORPD) problem is an urgent task in the era of power systems
The ORPD is non-linear complex optimization problem that was resolved by many classical methods [7]–[12] including linear programming (LP) [7], interior point method [8], quadratic programming (QP) [9], dynamic programming (DP) and Newton-Raphson [10]
It is observed that fuzzy-Jaya algorithm is able to reduce the real power loss by 21.7363% with respect to initial power loss [56], against 21.5109% with CLPSO [57], 21.61% with DE [18], 21.69% with BBO [58], 21.37% with FA [59], 20.80% with ABC [60], 20.44% with BFOA [61] and 19.80% with particle swarm optimization (PSO) [62]
Summary
Solving the optimal reactive power dispatch (ORPD) problem is an urgent task in the era of power systems This problem has several objectives to be optimized such as the minimization of the transmission power losses, enhancing the voltage profile at load buses by reducing the voltage deviation. Continuous development of modern optimization techniques led to the existence of wide range of optimization solvers that have been solved for different applications in power systems. A new hybrid optimization algorithm called fuzzy-JAYA algorithm is investigated for optimizing the settings of control variables defined in the ORPD problem. The effects of this algorithm on the control variables and objective functions are introduced.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have