Hybrid shuffled frog leaping algorithm and Nelder–Mead simplex search for optimal reactive power dispatch

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Hybrid shuffled frog leaping algorithm and Nelder–Mead simplex search for optimal reactive power dispatch

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The optimal reactive power dispatch (ORPD) problem is a non-linear mixed-variable optimisation problem. This study employs a new evolutionary algorithm that expands the original shuffled frog leaping algorithm (SFLA) to solve this problem. In order to fully exploit the promising solution region, a local search algorithm known as Nelder–Mead (NM) algorithm is integrated with SFLA. The resultant NM-SFLA is very efficient in solving ORPD problem. The most important benefit of the proposed method is higher speed of convergence to a better solution. The proposed method is applied to ORPD problem on IEEE 30-bus, IEEE 57-bus and IEEE 118-bus power systems and compared with four versions of particle swarm optimisation algorithm, two versions of differential evolutionary algorithm and SFLA. The optimal setting of control variables including generator voltages, transformer taps and shunt VAR compensation devices for active power loss minimisation in a transmission system is determined while all the constraints are satisfied. The simulation results show the efficiency of the proposed method.

Inspec keywords: evolutionary computation; particle swarm optimisation; reactive power; power transformers

Other keywords: Nelder-Mead algorithm; Nelder-Mead simplex search; particle swarm optimisation algorithm; non-linear mixed-variable optimisation problem; IEEE 57-bus power systems; evolutionary algorithm; transformer taps; ORPD problem; IEEE 30-bus; IEEE 118-bus power systems; optimal reactive power dispatch; hybrid shuffled frog leaping algorithm

Subjects: Transformers and reactors; Optimisation techniques; Power systems

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