Load frequency control of interconnected power system using grey wolf optimization
By Dipayan Guha, Provas Kumar Roy, Subrata Banerjee. Swarm and Evolutionary Computation, 2016
359 citations recorded by the source corpus.
Subfields: Control and Systems Engineering, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/1da0549c99cb7f183d4ad613a084692fc7ae48f6
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In Control and Systems Engineering
In Electrical and Electronic Engineering
Citations in the corpus
- A novel Random Walk Grey Wolf Optimizer (2019, methodology): “[15] GWO is used for solving load frequency control (LFC) problem in an interconnected power system.”
- Grasshopper optimization algorithm scaled fractional order PI-D controller applied to reduced order model of load frequency control system (2020, background): “In the literature, various metaheuristic evolutionary algorithms such as bacterial foraging optimization algorithm (BFOA) [2], harmony search algorithm (HSA) [4], grey wolf optimization (GWO) [5], teaching learning-based optimization (TLBO) [9,20], symbiotic organism search (SOS) [8], firefly algori”
- Disturbance observer aided optimised fractional‐order three‐degree‐of‐freedom tilt‐integral‐derivative controller for load frequency control of power systems (2020, background): “The rationalised communication delay model has been obtained using 2nd order Pade approximation, and the same is shown in the Appendix.”
- An efficient modified grey wolf optimizer with Lévy flight for optimization tasks (2017, methodology): “In [40], the simple GWO has been employed to explain the load frequency control (LFC) in power systems.”