An enhanced multi-objective reactive power dispatch for hybrid Wind-Solar power system using Archimedes optimization algorithm

•Improved ORPD using Archimedes Optimization (AOA) for power loss and voltage control.•Models wind and solar uncertainties via Weibull and lognormal distributions.•AOA outperforms other metaheuristic algorithms on IEEE 57-bus system with faster convergence.•Achieves 15.7% power loss reduction and 83...

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Bibliographic Details
Published in:International journal of electrical power & energy systems Vol. 168; p. 110676
Main Authors: Megantoro, Prisma, Halim, Syahirah Abd, Mohamed Kamari, Nor Azwan, Awalin, Lilik Jamilatul, Mohamed, Ramizi, Rosli, Hazwani Mohd
Format: Journal Article
Language:English
Published: Elsevier Ltd 01.07.2025
Elsevier
Subjects:
Archimedes optimization algorithm
Distribution generation
Metaheuristics optimization
Optimal reactive power dispatch
Voltage stability index
RES
DG
MOALO
Distribution generation
PV
HHO
WF
CSA
AOA
PDF
MA
PLoss
FOA
AVOA
EA
NSA
GWO
PSA
PSH
AHOA
LISA
WOA
MW
Archimedes optimization algorithm
Optimal reactive power dispatch
VSI
RE-ORPD
VD
ORPD
TF
RE
Metaheuristics optimization
Voltage stability index
MCS
MWh
ISSN:0142-0615
Online Access:Get full text
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Summary:•Improved ORPD using Archimedes Optimization (AOA) for power loss and voltage control.•Models wind and solar uncertainties via Weibull and lognormal distributions.•AOA outperforms other metaheuristic algorithms on IEEE 57-bus system with faster convergence.•Achieves 15.7% power loss reduction and 83.9% VSI improvement using AOA.•Handles RE uncertainty in ORPD using scenario-based AOA modelling. Optimal reactive power dispatch (ORPD) is essential for addressing power system challenges related to distributed generation (DG), particularly from renewable energy (RE) sources such as wind and solar. The intermittent nature and uncertainty of these energy sources, influenced by varying wind speeds and solar irradiation, complicate their integration into power systems. This paper proposes a solution to the ORPD problem in systems with RE-DG integration using the Archimedes Optimization Algorithm (AOA). The uncertainties of wind and solar power generation were modelled using Weibull and lognormal probability density functions (PDFs), respectively, and the optimization model was tested using a scenario-based method. The AOA was applied to the IEEE 57 bus system to minimize power loss, voltage deviation, and voltage stability index (VSI). The results demonstrated that AOA contributed to a 15.7% reduction in power loss, and an 83.9% enhancement in VSI compared to the base case. In the multi-objective optimization scenario, AOA achieved a 7.1% reduction in power loss, with an additional 11.6% improvement upon the integration of DGs. The performance of AOA was also compared with other metaheuristic algorithms, demonstrating superior results in terms of tracking accuracy and convergence speed. AOA outperformed the multi-objective ant lion optimization (MOALO) and the Levy-based Interior Search Algorithm (LISA) in terms of power loss reduction and voltage stability. AOA achieved a 1.83% lower power loss and a 29.67% lower VSI compared to MOALO. When compared to LISA, AOA achieved a 1.68% lower power loss, demonstrating its superior optimization capabilities. These findings confirm that AOA is a highly effective method for solving the ORPD problem, accounting for renewable energy uncertainties and improving overall system performance.
ISSN:0142-0615
DOI:10.1016/j.ijepes.2025.110676