The synergy of MPJSA: A novel meta-heuristic approach for optimizing distribution systems with DGs DOI Creative Commons

Pragya Guru,

Nitin Malik, Sheila Mahapatra

et al.

Facta universitatis - series Electronics and Energetics, Journal Year: 2024, Volume and Issue: 37(3), P. 541 - 560

Published: Jan. 1, 2024

This article uses an innovative approach to illustrate optimal distribution systems planning, incorporating DG systems. It intends decrease energy losses while enhancing voltage profiles and the net profit, crucially influenced by reactive active power injections. The recommended combines Marine Predator Algorithm (MPrA) Jellyfish Search (JSA) into a hybrid meta-heuristic optimization technique named MPrJSA. MPrA JSA draws inspiration from efficient hunting behavior of marine predators like sharks collective movement patterns jellyfish. By combining these strategies, it aims enhance algorithms exploration, exploitation, adaptability, robustness in solving complex problems. Motivated societal conduct jellyfish, this algorithm is employed assess consequences installing radial systems, considering techno-economic benefits. Multiple DGs are evaluated achieve goals. MPrJSA effectiveness illustrated using IEEE 33-bus system, showing significant reductions upgraded with total profit. Comparative analysis other natureinspired approaches highlights excellence proposed method.

Language: Английский

Optimization of stand-alone hybrid renewable energy system based on techno-socio-enviro-financial perspective using improved red-tailed hawk algorithm DOI
Asmita Ajay Rathod,

S. Balaji

Applied Energy, Journal Year: 2024, Volume and Issue: 376, P. 124137 - 124137

Published: Aug. 14, 2024

Language: Английский

Citations

9
Optimal Sizing of FACTS Controller through Hybrid Metaheuristic Algorithm for Static Security Enhancement in Transmission Power Systems DOI Creative Commons
Tayo Uthman Badrudeen, Funso Kehinde Ariyo, Nnamdi Nwulu

et al.

Scientific African, Journal Year: 2025, Volume and Issue: unknown, P. e02543 - e02543

Published: Jan. 1, 2025

Language: Английский

Citations

0
Fuzzy‐Based Multi‐Objective Optimal Allocation of Capacitors and DSTATCOMs to Minimize Installation Cost and Power Loss and Improve Voltage Profile by Optimal Control of Fuzzy Parameters DOI Creative Commons
Ali Solati, Abdollah Fallah Shojaeı, Sepehr Soltani

et al.

IET Renewable Power Generation, Journal Year: 2025, Volume and Issue: 19(1)

Published: Jan. 1, 2025

ABSTRACT Reducing power losses and improving voltage profile are among the most important concerns of distribution network operators. Since cause mentioned challenges is lack reactive power, these problems can be solved by installing compensators such as capacitors DSTATCOMs. On other hand, considering that installation resources based on just a few peak hours causes overdesigned uneconomical project, solution should provided for optimal allocation all study period. In this paper, method fuzzy logic developed to optimally allocate amount load in Another unique feature simulation time very short due need run multiple flows calculate variables. Therefore, first innovative contribution, DSTATCOMs done using standard logic. Then, second membership function parameters have been optimized has improved. The results showed efficiency network. Optimizing functions reduced total costs (improved profile) 2.4%, 4.4% 6% (by 1.3%, 3% 3.7%), respectively, one, two three

Language: Английский

Citations

0
Capacitor capacitance prediction based on VMD and ARIMA DOI Open Access
Hao Li, Jingjing Lyu, Hao Li

et al.

Journal of Physics Conference Series, Journal Year: 2025, Volume and Issue: 2971(1), P. 012005 - 012005

Published: Feb. 1, 2025

Abstract Capacitor capacitance prediction is an important means of analysing the reliability electronic systems. Although method based on physical models can theoretically explain aging process capacitors, its implementation complicated. To this end, a data-driven used in combination with time series model to predict capacitance. First, capacitor test system constructed, and acquired data pre-processed; then Autoregressive Integrated Moving Average Model (ARIMA) In order further improve accuracy, VMD-ARIMA combined constructed variational mode decomposition (VMD) extract characteristic components sequence, ARIMA each component. The results component are reconstructed obtain results. experimental show that compared single model, reduces MAE, RMSE, MAPE by 32.44%, 30.95%, 32.42%, respectively, effect significantly improved.

Language: Английский

Citations

0
Coverage and connectivity maximization for wireless sensor networks using improved chaotic grey wolf optimization DOI Creative Commons

Muhammad Suhail Shaikh,

Chang Wang, Senlin Xie

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: May 5, 2025

Language: Английский

Citations

0
Techno-economic analysis of Retired Electric Vehicle Batteries with Grid-Connected Hybrid Energy System DOI
Pankaj Sharma, R. Saravanakumar

Energy Conversion and Management, Journal Year: 2025, Volume and Issue: 339, P. 119870 - 119870

Published: May 21, 2025

Language: Английский

Citations

0
Innovative Hybrid Grey Wolf-Particle Swarm Optimization for Calculating Transmission Line Parameter DOI Creative Commons

Muhammad Suhail Shaikh,

Haoyue Lin,

Gengzhong Zheng

et al.

Heliyon, Journal Year: 2024, Volume and Issue: 10(19), P. e38555 - e38555

Published: Sept. 28, 2024

Language: Английский

Citations

1
Long Term Online Monitoring Technology for Mountain Transmission Lines Based on Heterogeneous Network Architecture DOI

Junyi Xie,

Yu Huang,

Guoyi Zhang

et al.

Proceedings of the 7th International Conference on Cyber Security and Information Engineering, Journal Year: 2024, Volume and Issue: unknown, P. 667 - 671

Published: Sept. 15, 2024

Language: Английский

Citations

0
The synergy of MPJSA: A novel meta-heuristic approach for optimizing distribution systems with DGs DOI Creative Commons

Pragya Guru,

Nitin Malik, Sheila Mahapatra

et al.

Facta universitatis - series Electronics and Energetics, Journal Year: 2024, Volume and Issue: 37(3), P. 541 - 560

Published: Jan. 1, 2024

This article uses an innovative approach to illustrate optimal distribution systems planning, incorporating DG systems. It intends decrease energy losses while enhancing voltage profiles and the net profit, crucially influenced by reactive active power injections. The recommended combines Marine Predator Algorithm (MPrA) Jellyfish Search (JSA) into a hybrid meta-heuristic optimization technique named MPrJSA. MPrA JSA draws inspiration from efficient hunting behavior of marine predators like sharks collective movement patterns jellyfish. By combining these strategies, it aims enhance algorithms exploration, exploitation, adaptability, robustness in solving complex problems. Motivated societal conduct jellyfish, this algorithm is employed assess consequences installing radial systems, considering techno-economic benefits. Multiple DGs are evaluated achieve goals. MPrJSA effectiveness illustrated using IEEE 33-bus system, showing significant reductions upgraded with total profit. Comparative analysis other natureinspired approaches highlights excellence proposed method.

Language: Английский

Citations

0