Economizing Generation Cost by Alleviating Congestion in DPS Employing FACTS Devices

International Journal of Electrical and Electronics Engineering

© 2024 by SSRG - IJEEE Journal

Volume 11 Issue 3

Year of Publication : 2024

Authors : Anubha Gautam, Rachna Dhir

10.14445/23488379/IJEEE-V11I3P105

How to Cite?

Anubha Gautam, Rachna Dhir, "Economizing Generation Cost by Alleviating Congestion in DPS Employing FACTS Devices," SSRG International Journal of Electrical and Electronics Engineering, vol. 11,  no. 3, pp. 65-75, 2024. Crossref, https://doi.org/10.14445/23488379/IJEEE-V11I3P105

Abstract:

The implementation of deregulation policies in modern power systems has intensified competition in the energy markets, introducing congestion in the system. This is a risk to the reliability and security of the system. In response to this challenge, one highly effective approach involves the rescheduling of generators, though at the cost of increased energy expenses. However, the emergence of Flexible AC Transmission System devices with the advancement of electronic power offers a promising opportunity to reduce the need for generator rescheduling significantly. FACTS devices assume a pivotal role in optimizing the overall power profile of the system by mitigating power losses. This research primarily focuses on the implementation of FACTS devices to curtail generation costs by alleviating congestion within the deregulated power system. Specifically, Static Var Compensators and Thyristor-Controlled Series Compensators are strategically integrated into the system to mitigate overloading. To identify the optimal locations for applied FACTS devices and fine-tune their parameters, we propose employing the teaching learning-based optimization algorithm. This approach aims to maximize the effectiveness of these devices. To validate the efficacy of the applied approach, SVC and TCSC are integrated into the IEEE 30 Bus system. Subsequently, a detailed comparison is conducted against Grey Wolf Optimization, which is documented in the existing literature, allowing us to verify the results and assess their significance.

Keywords:

Deregulation, Flexible AC Transmission Systems, Congestion mitigation, Teaching Learning Based Optimization, Generation cost.

References:

[1] Anurag Gautam et al., “Methods and Methodologies for Congestion Alleviation in the DPS: A Comprehensive Review,” Energies, vol. 16, no. 4, pp. 1-28, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[2] S. Surender Reddy, “Optimal Placement of FACTS Controllers for Congestion Management in the Deregulated Power System,” International Journal of Electrical and Computer Engineering (IJECE), vol. 8, no. 3, pp. 1336-1344, 2018.
[CrossRef] [Google Scholar] [Publisher Link]
[3] Anwar S. Siddiqui, and Tanmoy Deb, “Congestion Management Using FACTS Devices,” International Journal of System Assurance Engineering and Management, vol. 5, no. 4, pp. 618-627, 2014.
[CrossRef] [Google Scholar] [Publisher Link]
[4] Yogasree Manganuri et al., “Optimal Location of TCSC Using Sensitivity and Stability Indices for Reduction in Losses and Improving the Voltage Profile,” 2016 IEEE 1st International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES), Delhi, India, pp. 1-4, 2016.
[CrossRef] [Google Scholar] [Publisher Link]
[5] 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]
[6] S.N. Singh, and A.K. David, “Optimal Location of FACTS Devices for Congestion Management,” Electric Power Systems Research, vol. 58, no. 2, pp. 71-79, 2001.
[CrossRef] [Google Scholar] [Publisher Link]
[7] Divya Gupta, and Sanjay Kumar Jain, “Available Transfer Capability Enhancement by FACTS Devices Using Metaheuristic Evolutionary Particle Swarm Optimization (MEEPSO) Technique,” Energies, vol. 14, no. 4, pp. 1-28, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[8] Hossein Hashemzadeh, and Seyed Hamid Hosseini, “Locating Series FACTS Devices Using Line Outage Sensitivity Factors and Particle Swarm Optimization for Congestion Management,” 2009 IEEE Power & Energy Society General Meeting, Calgary, Canada, pp. 1-6, 2009.
[CrossRef] [Google Scholar] [Publisher Link]
[9] K. Vijayakumar, “Optimal Location of FACTS Devices for Congestion Management in Deregulated Power Systems,” International Journal of Computer Applications, vol. 16, no. 6, pp. 29-37, 2011.
[CrossRef] [Google Scholar] [Publisher Link]
[10] Naresh Acharya, and N. Mithulananthan, “Locating Series FACTS Devices for Congestion Management in Deregulated Electricity Markets,” Electric Power Systems Research, vol. 77, no. 3-4, pp. 352-360, 2007.
[CrossRef] [Google Scholar] [Publisher Link]
[11] Manasarani Mandala, and C.P. Gupta, “Congestion Management by Optimal Placement of FACTS Device,” 2010 Joint International Conference on Power Electronics, Drives and Energy Systems & 2010 Power India, New Delhi, India, pp. 1-7, 2010.
[CrossRef] [Google Scholar] [Publisher Link]
[12] Anwar Shahzad Siddiqui, Mohd Tauseef Khan, and Fahad Iqbal, “Determination of Optimal Location of TCSC and STATCOM for Congestion Management in Deregulated Power System,” International Journal of System Assurance Engineering and Management, vol. 8, pp. 110-117, 2017.
[CrossRef] [Google Scholar] [Publisher Link]
[13] Akash Sharma, and Rajive Tiwari, “Voltage Profile Enhancement Using FACTS Devices,” Intelligent Computing Techniques for Smart Energy Systems, pp. 119-132, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[14] Arun Kumar Reddy K., and Shiv P. Singh, “Congestion Mitigation Using UPFC,” IET Generation, Transmission & Distribution, vol. 10, no. 10, pp. 2433-2442, 2016.
[CrossRef] [Google Scholar] [Publisher Link]
[15] Akanksha Mishra, and G. Venkata Nagesh Kumar, “Congestion Management of Deregulated Power Systems by Optimal Setting of Interline Power Flow Controller Using Gravitational Search Algorithm,” Journal of Electrical Systems and Information Technology, vol. 4, no. 1, pp. 198-212, 2017.
[CrossRef] [Google Scholar] [Publisher Link]
[16] K. Bavithra, S. Charles Raja, and P. Venkatesh, “Optimal Setting of FACTS Devices Using Particle Swarm Optimization for ATC Enhancement in Deregulated Power System,” IFAC-PapersOnLine, vol. 49, no. 1, pp. 450-455, 2016.
[CrossRef] [Google Scholar] [Publisher Link]
[17] B. Chong et al., “Optimal Location of Unified Power Flow Controller for Congestion Management,” European Transactions on Electrical Power, vol. 20, no. 5, pp. 600-610, 2009.
[CrossRef] [Google Scholar] [Publisher Link]
[18] A.Vengadesan, “Transmission Congestion Management through Optimal Placement and Sizing of TCSC Devices in a Deregulated Power Network,” Turkish Journal of Computer and Mathematics Education, vol. 12, no. 6, pp. 5390-5403, 2021.
[Google Scholar] [Publisher Link]
[19] Debasish Mondal, Abhijit Chakrabarti, and Aparajita Sengupta, “Application of FACTS Controller,” Power System Small Signal Stability Analysis and Control, pp. 197-242, 2020.
[Google Scholar]
[20] R.V. Rao, V.J. Savsani, and D.P. Vakharia, “Teaching-Learning-Based Optimization: A Novel Method for Constrained Mechanical Design Optimization Problems,” Computer-Aided Design, vol. 43, no. 3, pp. 303-315, 2011.
[CrossRef] [Google Scholar] [Publisher Link]
[21] L.J. Cai, I. Erlich, and G. Stamtsis, “Optimal Choice and Allocation of FACTS Devices in Deregulated Electricity Market Using Genetic Algorithms,” IEEE PES Power Systems Conference and Exposition, New York, USA, vol. 1, pp. 201-207, 2004.
[CrossRef] [Google Scholar] [Publisher Link]
[22] Ahmed A. Shehata et 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]