Abstract
<p>In this paper optimal reactive power problem is solved by mountain zebra algorithm (MZA), augmented bat algorithm (AB) and improved kidney search (IKS) algorithm. In the proposed algorithm, an intermediate state has been established at first, and then explores the intermediate state in order to obtain the global optima. Iterative local search implemented in this proposed algorithm. This technique enhances the search procedure in rapid mode. Then in this work, IKS algorithm has been proposed for solving optimal reactive power problem. In initial phase, a random population of probable solutions is created and re-absorption, secretion, excretion are imitated in the search process to check various conditions entrenched to the algorithm. The algorithm has been built to advance the search even a potential solution moved to waste (W) and it will be brought back to the filtered blood (FB). Glomerular filtration rate (GFR) test is utilized to verify the fitness of kidneys. Better efficiency of the proposed MZA, AB and IKS algorithm confirmed by successful evaluation in standard IEEE 14-bus, 118-bus, and 300-bus test systems. The results show that active power loss has been reduced.</p><p> </p>
Highlights
To minimize the true power loss is key aim in this reactive power optimization problem
In this work mountain zebra algorithm (MZA), augmented bat algorithm (AB) and improved kidney search (IKS) algorithm is applied for solving reactive power optimization problem
Movements of the bats by toggle between local search and global search is controlled by the pulse rate r and receipt or refusal of a new-fangled engendered solution is controlled by loudness A
Summary
To minimize the true power loss is key aim in this reactive power optimization problem. Various techniques [1]-[6] have been applied to solve the reactive power optimization problem. After that many evolutionary techniques [7]-[16] applied to solve the reactive power problem, but many algorithms stuck in local optimal solution failed to balance the exploration and exploitation during the search of global solution. In this work mountain zebra algorithm (MZA), augmented bat algorithm (AB) and improved kidney search (IKS) algorithm is applied for solving reactive power optimization problem. In this work, IKS algorithm is proposed to solve the optimal reactive power problem. It imitates assorted progression of a biological kidney. Proposed MZA, AB and IKS algorithm efficiency is verified by testing it in standard IEEE 14-bus, 118-bus, and 300-bus test systems
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