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Design of Fractional Particle Swarm Optimization Gravitational Search Algorithm for Optimal Reactive Power Dispatch Problems | IEEE Journals & Magazine | IEEE Xplore

Design of Fractional Particle Swarm Optimization Gravitational Search Algorithm for Optimal Reactive Power Dispatch Problems


Graphical Abstract of Fractional FPSOGSA Model for ORPD Solution.

Abstract:

In fact, optimal RPD is one of the most critical optimization matters related to electrical power stability and operation. The minimization of overall real power losses i...Show More

Abstract:

In fact, optimal RPD is one of the most critical optimization matters related to electrical power stability and operation. The minimization of overall real power losses is obtained by adjusting the power systems control variables, for instance; generator voltage, compensated reactive power and tap changing of the transformer. In this search, a new heuristic computing method named as fractional particle swarm optimization gravitational search algorithm (FPSOGSA) is presented by introducing fractional derivative of velocity term in standard optimization mechanism. The designed FPSOGSA is implemented for the optimal RPD problems with IEEE-30 and IEEE-57 standards by attaining the near finest outcome sets of control variables along with minimization of two fitness objectives; active power transmission line losses ( P_{loss,} MW) and voltage deviation ( \text{V}_{\mathrm {D}} ). The superior performance of the proposed FPSOGSA is verified for both single and multiple runs through comparative study with state of art counterparts for each scenario of optimal RPD problems.
Graphical Abstract of Fractional FPSOGSA Model for ORPD Solution.
Published in: IEEE Access ( Volume: 8)
Page(s): 146785 - 146806
Date of Publication: 04 August 2020
Electronic ISSN: 2169-3536

Funding Agency:


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