A novel Hybrid Harris hawk sine cosine optimization algorithm for reactive power optimization problem

Reactive power optimisation can effectively reduce active power loss and improve voltage quality, which is a great significance for power system planning. When the reactive power optimisation problem is solved by Harris Hawk optimisation (HHO) algorithm, there are slow convergence and falling into l...

Full description

Saved in:
Bibliographic Details
Published in:Journal of experimental & theoretical artificial intelligence Vol. 36; no. 6; pp. 901 - 937
Main Authors: Jiao, Shangbin, Wang, Chen, Gao, Rui, Li, Yuxing, Zhang, Qing
Format: Journal Article
Language:English
Published: Abingdon Taylor & Francis 17.08.2024
Taylor & Francis Ltd
Subjects:
Algorithms
Convergence
Distributed generation
dynamic adaptive inertia weights
Electric potential
Electric power loss
Harris hawk optimisation
improved logistic chaotic mapping
Optimization
Rank tests
Reactive power
reactive power optimisation problem
sine and cosine algorithm
Trigonometric functions
Voltage
ISSN:0952-813X, 1362-3079
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Reactive power optimisation can effectively reduce active power loss and improve voltage quality, which is a great significance for power system planning. When the reactive power optimisation problem is solved by Harris Hawk optimisation (HHO) algorithm, there are slow convergence and falling into local optima. This is caused by the multiple random parameters in HHO's exploration phase. To solve this problem, the Improved Logistic Chaotic mapping, Sine and Cosine Algorithm (SCA), the dynamic adaptive inertia weights and greedy strategy are introduced; the aim is to speed up convergence, reduce blind spots and improve the search capability. The improved algorithm was tested on the classical 23 benchmark functions; Wilcoxon's signed-rank test and Friedman test were tested, the results show that the improved algorithm can obtain better performance. The improved algorithm is applied to the reactive power optimisation problem in distribution networks with distributed generators (DG). When the reactive power optimisation problem is solved by the improved algorithms HHO, WOA, CSO, CS and PSO, respectively, the improved algorithm can obtain the lowest active power loss. Compared with no optimisation, active power loss is reduced by 33.19%. Finally, the node voltage quality ensures the safe operation of the system.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:0952-813X
1362-3079
DOI:10.1080/0952813X.2022.2115144