AccScience Publishing / AJWEP / Online First / DOI: 10.36922/ajwep.8393
Submit to AJWEP
Cite this article
11
Download
67
Views
Journal Browser
Volume | Year
Issue
Search
Forthcoming Issue
Current Issue
View All
News and Announcements
View All
ORIGINAL RESEARCH ARTICLE

An enhanced renewable energy integration system with improved power system stability

Vemireddy Suryanarayana Reddy1* ,  Busireddy Hemanth Kumar1
Show Less
1 Department of Electrical and Electronics Engineering, School of Engineering, Mohan Babu University, Tirupati, Andhra Pradesh, India
AJWEP, 8393 https://doi.org/10.36922/ajwep.8393
Submitted: 3 January 2025 | Revised: 22 March 2025 | Accepted: 24 March 2025 | Published: 17 April 2025
© 2025 by the Author(s). This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution 4.0 International License ( https://creativecommons.org/licenses/by/4.0/ )
Download PDF
Cite
XML
Abstract

The utilization of renewable energy sources for energy transition is gaining significant popularity due to pollution control and other environmental benefits. To move toward green energy generation, the integration of renewable energy sources with the existing conventional grid plays a key role. The performance of a modern interconnected power system, particularly with a high penetration of renewable energy sources, is significantly impacted by power system oscillations. Flexible Alternating Current Transmission System (FACTS) devices are recommended to improve control framework performance, and the power system stabilizer is the customary controller for damping such oscillations. FACTS offer a powerful strategy as they can control transport voltage, transmission line impedance, and power flows. This paper presents an efficient control scheme that combines four FACTS controllers: the static VAR compensator for controlling reactive power in control frameworks, the unified power flow controller for managing active and reactive power flows on transmission lines, the static synchronous compensator for maintaining system voltage stability, and the static synchronous series compensator for controlling transmission line impedance. To address the challenges posed by the variability of renewable energy sources such as wind and solar, the ant colony optimization algorithm is employed to optimally tune the controllers’ parameters. By generating controlled voltage and interfacing with the transmission line, these controllers enhance system stability, even under fluctuating renewable energy inputs. The IEEE 30-Bus system was used for simulation and control design, demonstrating the effectiveness of this approach in damping inter-area oscillations and improving the stability and resilience of a renewable-energy-integrated power system.

Keywords
Renewable energy sources
Pollution control
Integration of renewable energy
Ant colony optimization algorithm
Power stability
Funding
None.
Conflict of interest
The authors declare no competing interests.
References
  1. Hingorani NG. Flexible AC transmission system. IEEE Spectr. 1988;25(4):40-45.

 

  1. Bian B, Ramey HJ, Nelson RM. Susceptance model of SVC for power flow analysis. IEEE Trans Power Syst. 1997;12(1):200-206.

 

  1. Hussein NAK, Basel OM. Integrating renewable energy systems into urban planning for sustainable cities. ESTIDAMAA. 2024; 82:15-21. doi: 10.70470/ESTIDAMAA/2024/003

 

  1. Goel S, Jena B, Sharma R. A case study on optimal tilt angle and spacing for rooftop solar photovoltaic system at Bhubaneswar. J Mod Technol. 2024;121:121-131.

 

  1. Solanke AV, Verma SK, Kumar S, Oyinna B, Okedu KE. MPPT for hybrid energy system using machine learning techniques. J Mod Technol. 2024;121:19-37.

 

  1. Devarapalli R, Bhattacharyya B, Sinha NK, Dey B. Amended GWO approach based on multi-machine power system stability enhancement. ISA Trans. 2021;109:152-174. doi: 10.1016/j.isatra.2020.09.016

 

  1. Reddy KS, Babu KR. Optimal SVC placement using fuzzy logic and PSO for improved voltage stability. Electr Power Syst Res. 2008;78(5):837-844.

 

  1. Metavural S, Mehmattum O. A full power injection model for UPFC with modified Jacobian elements. Int J Electr Power Energy Syst. 2010;32(3):229-238.

 

  1. Chengaiah M, Marutheswar K. Power flow control using unified power flow controller (UPFC). J Electr Eng Technol. 2011;5(2):256-262.

 

  1. Kumar A, Nagaraju K. Minimization of transmission network losses using UPFC in power flow studies. Int J Power Energy Syst. 2012;29(3):189-196.

 

  1. Vanitha R, Sudhakaran R. Differential evolution algorithm for UPFC optimal placement and loss reduction. Energy Procedia. 2012;14:1791-1796.

 

  1. Del Valle Y, Venayagamoorthy GK, Mohagheghi S, Hernandez J, Harley RG. Particle swarm optimization: Basic concepts, variants and applications in power systems. IEEE Trans Evol Comput. 2008;12(2):171-195. doi: 10.1109/TEVC.2007.896686

 

  1. Sreedivya KM, Jeyanthy PA, Devaraj D. Improved design of interval type-2 fuzzy based wide area power system stabilizer for inter-area oscillation damping. Microprocess Microsyst. 2021;83:103957. doi: 10.1016/j.micpro.2021.103957

 

  1. Ghaedi S, Abazari S, Markadeh GA. Transient stability improvement of power system with UPFC control using transient energy function and sliding mode observer based on locally measurable information. Measurement. 2021;183:109842. doi: 10.1016/j.measurement.2021.109842

 

  1. Da Silva GS, de Oliveira EJ, de Oliveira LW, de Paula AN, Ferreira JS, Honorio LM. Load frequency control and tie-line damping via virtual synchronous generator. Int J Electr Power Energy Syst. 2021;132:107108. doi: 10.1016/j.ijepes.2021.107108

 

  1. Fathollahi A, Kargar A, Derakhshandeh SY. Enhancement of power system transient stability and voltage regulation performance with decentralized synergetic TCSC controller. Int J Electr Power Energy Syst. 2022;135:107533. doi: 10.1016/j.ijepes.2021.107533

 

  1. Therattil JP, Jose J, Prasannakumari PRN, et al. Hybrid control of a multi-area multi-machine power system with FACTS devices using non-linear modelling. IET Gener Transm Distrib. 2020;14(10):1993-2003. doi: 10.1049/iet-gtd.2019.1165

 

  1. Guha D, Roy PK, Banerjee S. Performance evolution of different controllers for frequency regulation of a hybrid energy power system employing chaotic crow search algorithm. ISA Trans. 2022;120:128-146. doi: 10.1016/j.isatra.2021.03.017

 

  1. Saidi AS. Impact of grid-tied photovoltaic systems on voltage stability of Tunisian distribution networks using dynamic reactive power control. Ain Shams Eng J. 2022;13(2):101537. doi: 10.1016/j.asej.2021.06.023

 

  1. Shehata AA, Tolba MA, El-Rifaie AM, Korovkin NV. Power system operation enhancement using a new hybrid methodology for optimal allocation of FACTS devices. Energy Rep. 2022;8:217-238. doi: 10.1016/j.egyr.2021.11.24

 

  1. Khawaja AW, Kamari NAM, Zainuri MAAM. Design of a damping controller using the SCA optimization technique for the improvement of small signal stability of a single machine connected to an infinite bus system. Energies. 2021;14(11):2996. doi: 10.3390/en14112996

 

  1. Behzadpoor S, Davoudkhani IF, Abdelaziz AY, Geem ZW, Hong J. Power system stability enhancement using robust FACTS-based stabilizer designed by a hybrid optimization algorithm. Energies. 2022;15(22):8754. doi: 10.3390/en15228754

 

  1. Pathan MIH, Rana MJ, Shahriar MS, Shafiullah M, Zahir MH, Ali A. Real-time LFO damping enhancement in electric networks employing PSO optimized ANFIS. Inventions. 2020;5(4):61. doi: 10.3390/inventions5040061

 

  1. Behera S, Barisal AK, Dhal N, Lal DK. Mitigation of power oscillations using hybrid DE-PSO optimization-based SSSC damping controller. J Electr Syst Inf Technol. 2019;6(1):1-17. doi: 10.1186/s43067-019-0007-y

 

  1. Solomon E, Khan B, Boulkaibet I, et al. Mitigating low-frequency oscillations and enhancing the dynamic stability of power system using optimal coordination of power system stabilizer and unified power flow controller. Sustainability. 2023;15(8):6980. doi: 10.3390/su15086980

 

  1. Mahadevan J, Rengaraj R, Bhuvanesh A. Application of multi-objective hybrid artificial bee colony with differential evolution algorithm for optimal placement of microprocessor based FACTS controllers. Microprocess Microsyst. 2021:104239. doi: 10.1016/j.micpro.2021.104239

 

  1. Kotsampopoulos P, Georgilakis P, Lagos DT, Kleftakis V, Hatziargyriou N. FACTS providing grid services: Applications and testing. Energies. 2019;12(13):2554. doi: 10.3390/en12132554

 

  1. Naderi E, Pourakbari-Kasmaei M, Abdi H. An efficient particle swarm optimization algorithm to solve optimal power flow problem integrated with FACTS devices. Appl Soft Comput. 2019;80:243-262. doi: 10.1016/j.asoc.2019.04.012

 

  1. Khamari D, Sahu RK, Gorripotu TS, Panda S. Automatic generation control of power system in deregulated environment using hybrid TLBO and pattern search technique. Ain Shams Eng J. 2020;11(3):553-573. doi: 10.1016/j.asej.2019.10.012

 

  1. Sahu PR, Hota PK, Panda S. Modified whale optimization algorithm for coordinated design of fuzzy lead-lag structure-based SSSC controller and power system stabilizer. Int Trans Electr Energy Syst. 2019;29(4):e2797. doi: 10.1002/etep.2797

 

  1. Lee Y, Song H. A reactive power compensation strategy for voltage stability challenges in the Korean power system with dynamic loads. Sustainability. 2019;11(2):326. doi: 10.3390/su11020326

 

  1. Ćalasan M, Konjić T, Kecojević K, Nikitović L. Optimal allocation of static var compensators in electric power systems. Energies. 2020;13(12):3219. doi: 10.3390/en13123219

 

  1. Zhang G, Hu W, Cao D, et al. A data-driven approach for designing STATCOM additional damping controller for wind farms. Int J Electr Power Energy Syst. 2020;117:105620. doi: 10.1016/j.ijepes.2019.105620

 

  1. Zhang Y, Su Y. Towards a sustainable future: Exploring innovative financing models for renewable energy. MEDAAD. 2024;2024:34-40. doi: 10.70470/MEDAAD/2024/006
Next article in this issue
Share
Back to top
Asian Journal of Water, Environment and Pollution, Electronic ISSN: 1875-8568 Print ISSN: 0972-9860, Published by AccScience Publishing
We use cookies on our website to ensure you get the best experience.
Read more about our cookies here
Accept