Abstract
Reactive power management is very crucial for stable operation of the system. The ultimate aim of reactive power dispatch (RPD) is to set the control variables to its optimal values to minimize the objective function of real power losses in lines and voltage deviation satisfying all the equality and inequality constraints. The multi-objective function is also proposed to solve both the objective functions simultaneously. This paper presents hybridization of two optimization techniques, one is particle swarm optimization (PSO) and the other is firefly algorithm (FA) represented as hybridization of particle swarm optimization with firefly algorithm (HPSOFA), which is used to yield a better result. This hybridization is carried out in MATLAB for IEEE 14 and 30 bus systems.
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Power system test case archive. https://labs.ece.uw.edu/pstca/
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Kunapareddy, M., Rao, B.V. (2020). Hybridization of Particle Swarm Optimization with Firefly Algorithm for Multi-objective Optimal Reactive Power Dispatch. In: Deepak, B., Parhi, D., Jena, P. (eds) Innovative Product Design and Intelligent Manufacturing Systems. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-15-2696-1_64
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DOI: https://doi.org/10.1007/978-981-15-2696-1_64
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