Fractal and Fractional · 2024 · 11 citations · 37 references
ArchitectureElectrical EngineeringDesign OptimizationOptimizationRenewable Energy IntegrationEvolutionary ComputationEvolutionary OptimizationGenetic AlgorithmsPower Grid AnalysisPower OptimizationPower SystemsCompensatorsFirefly AlgorithmMinimizationOptimal DispatchOptimal Power DispatchPower System OptimizationReactive Power CompensationReactive Power Control
This research utilizes the innovative fractional-order Archimedean spiral moth–flame optimization (FO-AMFO) technique to address the issues of the optimal reactive power dispatch (ORPD) problem. The formulated fitness function aims to minimize power losses and determine the ideal flow of reactive power for the IEEE 30- and 57-bus test systems. The extensive functions of the fractional evolutionary computing strategy are utilized to address the minimization problem of ORPD. This involves determining the control variables, such as VAR compensators, bus voltages, and the tap setting of the transformers. The effective incorporation of reactive compensation devices into traditional power grids has greatly reduced power losses; however, it has resulted in an increase in the complexity of optimization problems. A comparison of the findings indicates that swarming fractional intelligence using FO-AMFO surpassed the state-of-the-art competitors in terms of minimizing power losses.
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Seeker Optimization Algorithm for Optimal Reactive Power Dispatch
Chaohua Dai, Weirong Chen, Yunfang Zhu et al. · IEEE Transactions on Power Systems · 2009 · 447 citations
A Survey of Bio inspired Optimization Algorithms
S Binitha, S. Siva Sathya · 2012 · 447 citations
Computing, Biology, Algorithms +13