Load frequency control based on an improved Chimp optimization algorithm using adaptive weight strategy

Purpose This study aims to implement an improved version of the Chimp algorithm (IChimp) for load frequency control (LFC) of power system. Design/methodology/approach This work was adopted by IChimp to optimize proportional integral derivative (PID) controller parameters used for the LFC of a two ar...

Celý popis

Uložené v:
Podrobná bibliografia
Vydané v:Compel Ročník 41; číslo 5; s. 1618 - 1648
Hlavní autori: Ranjitha, K, Sivakumar, P, Monica, M
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Bradford Emerald Publishing Limited 26.08.2022
Emerald Group Publishing Limited
Predmet:
Adaptive algorithms
Adaptive control
Control theory
Controllers
Convergence
Electricity distribution
Frequency control
Heuristic
Optimization
Optimization algorithms
Optimization techniques
Proportional integral derivative
Systems stability
Benchmark functions
Chimp optimization
Optimal control
Improved Chimp optimization
Interconnected power system
IEEE 39 bus system
Load frequency control
Energy harvesting
Adaptive control
ISSN:0332-1649, 2054-5606, 0332-1649
On-line prístup:Získať plný text
Tagy: Pridať tag
Žiadne tagy, Buďte prvý, kto otaguje tento záznam!
Popis
Shrnutí:Purpose This study aims to implement an improved version of the Chimp algorithm (IChimp) for load frequency control (LFC) of power system. Design/methodology/approach This work was adopted by IChimp to optimize proportional integral derivative (PID) controller parameters used for the LFC of a two area interconnected thermal system. Findings The supremacy of proposed IChimp tuned PID controller over Chimp optimization, direct synthesis-based PID controller, internal model controller tuned PID controller and recent algorithm based PID controller was demonstrated. Originality/value IChimp has good convergence and better search ability. The IChimp optimized PID controller is the proposed controlling method, which ensured better performance in terms of converging behaviour, optimizing controller gains and steady-state response.
Bibliografia:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:0332-1649
2054-5606
0332-1649
DOI:10.1108/COMPEL-07-2021-0231