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Research on hybrid modified pathfinder algorithm for optimal reactive power dispatch

Suresh V., Senthil Kumar S.

Bulletin of the Polish Academy of Sciences. Technical Sciences

2021

Vol. 69, nr 4

art. no. e137733

Hybridization of meta-heuristic algorithms plays a major role in the optimization problem. In this paper, a new hybrid meta-heuristic algorithm called hybrid pathfinder algorithm (HPFA) is proposed to solve the optimal reactive power dispatch (ORPD) problem. The superiority of the Differential Evolution (DE) algorithm is the fast convergence speed, a mutation operator in the DE algorithm incorporates into the pathfinder algorithm (PFA). The main objective of this research is to minimize the real power losses and subject to equality and inequality constraints. The HPFA is used to find optimal control variables such as generator voltage magnitude, transformer tap settings and capacitor banks. The proposed HPFA is implemented through several simulation cases on the IEEE 118-bus system and IEEE 300-bus power system. Results show the superiority of the proposed algorithm with good quality of optimal solutions over existing optimization techniques, and hence confirm its potential to solve the ORPD problem.

A hybridized approach for design and optimization of ORPD under unbalanced conditions

Shareef S. M., Rao R. S.

Control and Cybernetics

2018

Vol. 47, no. 4

309--328

The issue of ORPD (Optimal Reactive Power Dispatch) for enhancing security and economy of a power system has been given substantial consideration in recent days. The major inspiration behind deploying an ORPD system for enhancing power system eﬃciency is to reallocate the RP (reactive power) in such a manner that power loss be minimized, and voltage proﬁles get enhanced. Hence, this paper concerns the major objectives, namely, reduction of power loss and voltage deviation that are related to solving ORPD problem under unbalanced condition. To attain these objectives, an amalgamation of two algorithms, called CS (Cuckoo Search) and GWSO (Glow Worm Swarm), is adopted for optimizing, and hence the proposed model is referred to as CP-GWSO. This algorithm functions with the control parameters, namely load reactance, voltage and transformer tap settings that are tuned to attain the optimum outcome. The entire empirical part of the investigations is performed on two IEEE standard test bus systems, the IEEE 14 and the IEEE 39 bus systems. Finally, the proposed scheme is compared to the conventional methods, and its eﬃciency is conﬁrmed.