Substantial Transformative Control Algorithm Coordinated with Facts Devices Constrained for Optimal Power Flow Control

International Journal of Electrical and Electronics Engineering

© 2023 by SSRG - IJEEE Journal

Volume 10 Issue 8

Year of Publication : 2023

Authors : A. V. Sunil Kumar, R. Prakash, Shivakumara R S Aradhya, G. Swetha

10.14445/23488379/IJEEE-V10I8P113

How to Cite?

A. V. Sunil Kumar, R. Prakash, Shivakumara R S Aradhya, G. Swetha, "Substantial Transformative Control Algorithm Coordinated with Facts Devices Constrained for Optimal Power Flow Control," SSRG International Journal of Electrical and Electronics Engineering, vol. 10,  no. 8, pp. 137-147, 2023. Crossref, https://doi.org/10.14445/23488379/IJEEE-V10I8P113

Abstract:

By enhancing load capability and improving voltage profile by putting the Flexible AC Transmission System (FACTS) device in the most effective zone, the ultimate goal is to improve power system stability while lowering generation costs and transmission losses. This technique is applied by considering the FACTS operation ranges and their best use in the system. The IEEE30 bus power system is used to simulate varied enhanced load capacities. The primary goal is determining the method’s Efficiency based on power generating costs, FACTS investment costs, and reduction of transmission loss. The Substantial Transformative Control (STC) Algorithm executes the system, producing better simulation results. In the power system, the Optimum Power Flow (OPF) control will deliberately meet the demands and compensate for the power fluctuation throughout the transmission system. Usually, OPF will improve power stability and reduces the operation cost. The primary goal of the OPF controller is to stabilize the power demand with less cost and time. The OPF and FACTS controller hybrid devices have been implemented to compensate for the system power. The secondary goal is the minimal cost data with Mega Watt (MW) transactions and auxiliary support voltage through the Mega Volt Ampere Reactive (MVAR) support. The OPF controller will monitor the over and under voltage fluctuations.

Keywords:

Optimum power flow, Mega volt ampere reactive, Substantial transformative control, Active power, Reactive power.

References:

[1] Ayoade Benson Ogundare, and Isaiah Adediji Adejumobi, “Transmission Expansion Planning using Power Transfer Distribution Factor Index,” 2019 IEEE PES/IAS Power Africa, Abuja, Nigeria, pp. 6-11, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[2] Anant S. Shelke, and Anita A. Bhole, “A Review on Different Facts Devices used in Electrical Power System,” International Journal of Engineering Research & Technology, vol. 10, no. 4, pp. 309-312, 2021.
[Publisher Link]
[3] Omar G. A. Mrehel, and Seraj Al Fellah, “Using of TCSC and SSSC to Control the Power Flow and Oscillation Damping,” The Second World Congress on Computing and Information Technology (WCIT2014), Kuala Lumpur, Malaysia, pp. 199-204, 2020.
[4] Niharika Agrawal, and Mamatha Gowda, “Power Flow Enhancement by TCSC using Two Different Types of Pulse Generators,” International Journal of Recent Engineering Science, vol. 9, no. 1, pp. 31-38, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[5] M. Karthikeyan, and P. Ajay D. Vimalraj, “Optimal Location of Shunt Facts Devices for Power Flow Control,” 2011 International Conference on Emerging Trends in Electrical and Computer Technology, Nagercoil, India, pp. 154-159, 2011.
[CrossRef] [Google Scholar] [Publisher Link]
[6] Wensi Cao, Xi Chen, and Zhaohui Li, “Locating Natural Frequency Faults in HVDC Transmission Systems Based on the Rotation-Invariant Technology Signal Parameter Estimation Algorithm and the Total Least Squares Method,” Mathematical Problems in Engineering, vol. 2022, pp. 1-12, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[7] Shaista Parveen et al., “The Possibility of Enhanced Power Transfer in a Multi-Terminal Power System through Simultaneous AC–DC Power Transmission,” Electronics, vol. 11, no. 1, pp. 1-19, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[8] Jennifer Morris et al., “Future Energy: in Search of a Scenario Reflecting Current and Future Pressures and Trends,” Environmental Economics and Policy Studies, vol. 25, pp. 31-61, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[9] Sai Ram Inkollu, and Venkata Reddy Kota, “Optimal Setting of FACTS Devices for Voltage Stability Improvement using PSO Adaptive GSA Hybrid Algorithm,” Engineering Science and Technology, an International Journal, vol. 19, no. 3, pp. 1166-1176, 2016.
[CrossRef] [Google Scholar] [Publisher Link]
[10] Shukla Anupama, and Arti Bhandakkar, “Steady State Voltage Stability Improvement by Determination of Best Location of SVC with Minimum Losses,” International Journal of Engineering Research & Technology, vol. 2, no. 12, pp. 216-222, 2013.
[Google Scholar] [Publisher Link]
[11] Khaled M. Metweely et al., “Optimization of Optimal Power Flow Problems with FACTS Devices using PSO Technique,” 2017 Nineteenth International Middle East Power Systems Conference (MEPCON), Cairo, Egypt, pp. 181-189, 2017.
[CrossRef] [Google Scholar] [Publisher Link]
[12] Ahmed A. Shehataet al., “Power System Operation Enhancement using a New Hybrid Methodology for Optimal Allocation of FACTS Devices,” Energy Reports, vol. 8, pp. 217-238, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[13] Ritu Verma, and Arun Rathore, “Optimal Placement of Facts Device Considering Voltage Stability and Losses using Teaching Learning Based Optimization,” Journal of The Institution of Engineers (India): Series B, vol. 102, pp. 771-776, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[14] Ahmed A. Shehata et al., “Optimal Placement and Sizing of Facts Devices Based on Autonomous Groups Particle Swarm Optimization Technique,” Archives of Electrical Engineering, vol. 70, no. 1, pp. 161-172, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[15] Mithilesh Das, Ramesh Kumar, and Rajib Kumar Mandal, “Neural Network Based Facts Controller for Enhancement of Power System Dynamic Stability,” International Journal of Engineering Science and Innovative Technology, vol. 3, no. 1, pp. 159-170, 2014.
[Google Scholar] [Publisher Link]
[16] E. Nanda Kumar, and R. Dhanasekaran, “Optimal Power Flow with Facts Controller using Hybrid PSO,” Arabian Journal for Science and Engineering, vol. 39, pp. 3137-3146, 2014.
[CrossRef] [Google Scholar] [Publisher Link]
[17] Hamza Yapici, and Nurettin Çetinkaya, “An Improved Particle Swarm Optimization Algorithm using Eagle Strategy for Power Loss Minimization,” Mathematical Problems in Engineering, vol. 2017, pp. 1-11, 2017.
[CrossRef] [Google Scholar] [Publisher Link]
[18] J. Alla Bagash, and S. Praveen Kumar Reddy, “Optimum Power Flow with Multi-Types of Facts by using Particle Swarm Optimization (PSO),” International Journal of Engineering Research & Technology), vol. 2, no. 3, pp. 1-7, 2013.
[CrossRef] [Publisher Link]
[19] Aqeel Sakhy Jaber, Khalid S. Mohammed, and Nadheer A. Shalash, “Optimization of Electrical Power Systems using Hybrid PSO-GA Computational Algorithm: A Review,” International Review of Electrical Engineering, vol. 15, no. 6, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[20] Khaled N. Nusair, and Muwaffaq I. Alomoush, “Optimal Reactive Power Dispatch using Teaching Learning Based Optimization Algorithm with Consideration of Facts Device ‘STATCOM’,” 2017 10th Jordanian International Electrical and Electronics Engineering Conference, Amman, Jordan, pp. 1-12, 2017.
[CrossRef] [Google Scholar] [Publisher Link]
[21] Rucha P. Khadatkar, and D. B. Waghmare, “Damping Power System Oscillations with Controller using STATCOM,” International Journal of Recent Engineering Science, vol. 5, no. 1, pp. 1-7, 2018.
[CrossRef] [Google Scholar] [Publisher Link]
[22] Imene Cherki et al., “A Sequential Hybridization of Genetic Algorithm and Particle Swarm Optimization for the Optimal Reactive Power Flow,” Sustainability, vol. 11, no. 14, pp. 1-12, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[23] Bindeshwar Singh, V. Mukherjee, and Prabhakar Tiwari, “GA-Based Optimization for Optimally Placed and Properly Coordinated Control of Distributed Generations and Static Var Compensator in Distribution Networks,” Energy Reports, vol. 5, pp. 926-959, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[24] Stita Pragnya Dash, K. R. Subhashini, and J. K. Satapathy, “Optimal Location and Parametric Settings of Facts Devices Based on Jaya Blended Moth Flame Optimization for Transmission Loss Minimization in Power Systems,” Microsystem Technologies, vol. 26, pp. 1543-1552, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[25] Jagadeesh Kumar Muthukrishnan et al., “Comparison of Optimization Techniques to Find the Optimal Location of Facts Controllers for the Transmission Line,” American Journal of Applied Sciences, vol. 11, no. 2, pp. 280-290, 2014.
[CrossRef] [Google Scholar] [Publisher Link]
[26] V. K. Gupta, S. Kumar, and B. Bhattacharyya, “Enhancement of Power System Loadability with Facts Devices,” Journal of the Institution of Engineers (India): Series B, vol. 95, pp. 113-120, 2014.
[CrossRef] [Google Scholar] [Publisher Link]
[27] Max Bodenstein et al., “Optimized Power Flow Control to Minimize Congestion in a Modern Power System,” Energies, vol. 16, no. 12, pp. 1-19, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[28] M. Kamalakkannun, and N. D. Sridhar, “Optimum Power Flow Model and LMP for Unified Power Flow Controller,” International Journal of Engineering Trends and Technology, vol. 71, no. 2, pp. 21-26, 2023.
[CrossRef] [Publisher Link]
[29] Partha P. Biswas et al., “Optimal Placement and Sizing of Facts Devices for Optimal Power Flow in a Wind Power Integrated Electrical Network,” Neural Computing and Applications, vol. 33, pp. 6753-6774, 2021.
[CrossRef] [Google Scholar] [Publisher Link]