Optimal Setting of Thyristor Controlled Series Compensator with Brain Storm Optimization Algorithms for Available Transfer Capability Enhancement

Abstract:

Applications of Flexible AC Transmission Systems (FACTS) devices for enhancement of Available Transfer Capability (ATC) is gaining attention due to economic and technical limits of the conventional methods involving physical network expansions. FACTS allocation which is sine-qua-non to its performance is a major problem and it is being addressed in recent time with heuristic algorithms. Brain Storm Optimization Algorithms (BSOA) is a new heuristic and predicting optimization algorithms which revolutionizes human brainstorming process. BSOA is engaged for the optimum setting of FACTS devices for enhancement of ATC of a deregulated electrical power system network in this study. ATC enhancement, bus voltage deviation minimization and real power loss regulation are formulated into multi-objective problems for FACTS allocation purposes. Thyristor Controlled Series Capacitor (TCSC) is considered for simulation and analyses because of its fitness for active power control among other usefulness. ATC values are obtained for both normal and N-1-line outage contingency cases and these values are enhanced for different bilateral and multilateral power transactions. IEEE 30 Bus system is used for demonstration of the effectiveness of this approach in a Matlab software environment. Obtained enhanced ATC values for different transactions during normal evaluation cases are then compared with enhanced ATC values obtained with Particle Swarm Optimization (PSO) set TCSC technique under same trading. BSO behaved much like PSO throughout the achievements of other set objectives but performed better in ATC enhancement with 27.12 MW and 5.24 MW increase above enhanced ATC values achieved by the latter. The comparative of set objectives values relative to that obtained with PSO methods depict suitability and advantages of BSOA technique.

• Periodical: International Journal of Engineering Research in Africa (Volume 58)
• Pages: 225-246
• DOI: https://doi.org/10.4028/www.scientific.net/JERA.58.225
• Online since: January 2022
• Authors: Babatunde Olusegun Adewolu*, Akshay Kumar Saha
• Keywords: ATC Enhancement, Bus Voltage Profile, Clustering, Line Outage Contingency, Real Power Loss

References

[1] Y. H. Sing and A. T. Johns, Flexible AC Transmission Systems (FACTS), Power and Energy Series 30; Edited by Institution of Electrical Engineers, London, (1999).

[2] B. O. Adewolu and A. K. Saha, Determination and Analyses of Available Transfer Capability: Deregulated and Restructured Power Systems Perspective,, Proc. - 2019 South. African Univ. Power Eng. Conf. Mechatronics/Pattern Recognit. Assoc. South Africa, SAUPEC/RobMech/PRASA 2019, p.504–509, (2019).

DOI: 10.1109/robomech.2019.8704738

[3] S. Chirantan, S. C. Swain, P. C. Panda, and R. Jena, Enhancement of Power Profiles by Various FACTS Devices in Power System,, In IEEE Proceedings of the 2nd International Conference on Communication and Electronics Systems (ICCES), 2017, p.896 – 901.

DOI: 10.1109/cesys.2017.8321212

[4] V. Frolov, P. G. Thakurta, S. Backhaus, and J. Bialek, Operations and Uncertainty Aware Installation of FACTS Devices in a Large Transmission System,, IEEE Transaction Control Network Systems, vol. 6, no. 3, p.961 – 970, (2019).

DOI: 10.1109/tcns.2019.2899104

[5] B. O. Adewolu and A. K. Saha, Available transfer capability enhancement with FACTS: Perspective of performance comparison,, in 2020 International SAUPEC/RobMech/PRASA Conference, SAUPEC/RobMech/PRASA 2020, (2020).

DOI: 10.1109/saupec/robmech/prasa48453.2020.9040995

[6] M. B. Shafik, H. Chen, G. I. Rasheed, and R. A. El-Sehiemy, Adaptive Multi Objective Parallel Seeker Optimization Algorithm for Incorporating TCSC Devices into Optimal Power Flow Framework,, IEEE Access, vol. 7, p.36934 – 36947, (2019).

DOI: 10.1109/access.2019.2905266

[7] B. O. Adewolu and A. K. Saha, FACTS Devices Loss Consideration in Placement Approach for Available Transfer Capability Enhancement,, Int. J. Eng. Res. Africa, vol. 49, p.104–129, (2020).

DOI: 10.4028/www.scientific.net/jera.49.104

[8] A. R. Jordehi, J. Jasni, N. A. Wahab, M. Z. Kadir, and M. S. Javadi, Enhanced Leader PSO (ELPSO): A New Algorithm for Allocating Distributed TCSC's in Power Systems,, Elsevier Electric Power and Energy Systems, vol.64, p.771 – 784, (2015).

DOI: 10.1016/j.ijepes.2014.07.058

[9] M. K. Meenaamathi, S. R. Charles, and P. Venkatesh, Enhancement of Available Transfer Capability using TCSC Devices in Deregulated Power Marke,, IEEE International Conference on Innovations in Power and Advanced Computing Technologies (i-PACT2017), 2017, p.1 – 7.

DOI: 10.1109/ipact.2017.8244904

[10] J. G. Jamnani, and M. Pandya, Coordination of SVC and TCSC for Management of Power Flow by Particle Swarm Optimization,, Elsevier Energy Procedia, vol. 156, p.321 – 326, (2019).

DOI: 10.1016/j.egypro.2018.11.149

[11] M. N. Dazahra, F. Elmariami, A. Belfqih, and J. Boukherouaa, Optimal Location of SVC using Particle Swarm Optimization and Voltage Stability Indexes,, International Journal of Electrical and Computer Engineering (IJECE), vol. 6, no. 6, p.2581 – 2588, (2016).

DOI: 10.11591/ijece.v6i6.11921

[12] K. Bavinthra, S. C. Raja, and P. Venkatesh, Optimal Setting of FACTS Devices using Particle Swarm Optimization for ATC Enhancement in Deregulated Power System,, Elsevier Science Direct IFAC-PapersOnLine, vol. 49, no. 1, p.450 – 455, (2016).

DOI: 10.1016/j.ifacol.2016.03.095

[13] K. Karthikeyan, and P. K. Dhal, Optimal Location of STATCOM based Dynamic Stability Analysis Turning of PSS using Particle Swarm Optimization,, Elsevier Science Direct Proceedings, vol. 5, p.588 – 595, (2018).

DOI: 10.1016/j.matpr.2017.11.122

[14] A. R. Jordehi, Particle Swarm Optimization (PSO) for Allocation of FACTS Devices in Electric Transmission Systems: A Review,, Elsevier Renewable and Sustainable Energy Review, vol. 52, p.1260 – 1267, (2015).

DOI: 10.1016/j.rser.2015.08.007

[15] T. Nireekshanna, G. K. Rao, and S. S. Raju, Available Transfer Capability Enhancement with FACTS using Cat Swarm Optimization,, Elsevier Ain Sharms Engineering Journal, vol. 7, p.159 – 167, (2016).

DOI: 10.1016/j.asej.2015.11.011

[16] M. V. Rao, S. Sivanagaraju, and C. V. Suresh, Available Transfer Capability Evaluation and Enhancement using various FACTS Controllers: Special Focus on System Security,, Elsevier Ain Sharms Engineering Journal, vol. 7, p.191 – 207, (2016).

DOI: 10.1016/j.asej.2015.11.006

[17] B. Bhattacharyya, V. K. Gupta, and S. Kumar, UPFC with Series and Shunt FATCS Controllers for the Economic Operation of a Power System,, Elsevier Ain Shams Engineering Journal, vol. 5, p.775 – 787, (2014).

DOI: 10.1016/j.asej.2014.03.013

[18] J. A. Momoh, and S. S. Reddy, Optimal Location of FACTS for ATC Enhancement,, IEEE PES General Meeting, Conference and Exposition, 2014, p.1 – 5.

DOI: 10.1109/pesgm.2014.6939507

[19] A. Gupta, and A. Kumar, ATC Determination with Heuristic Techniques and Comparison with Sensitivity Based Methods and GAMS,, Elsevier Procedia Computer Science, vol. 125, p.389 – 397, (2018).

DOI: 10.1016/j.procs.2017.12.051

[20] R. Agrawal, S. K. Bharadwaj, and D. P. Kothari, Population Based Evolutionary Optimization Techniques for Optimal Allocation and Sizing of Thyristor Controlled Series Capacitor,, Elsevier Journal of Electrical Systems and Information Technology, vol. 5, p.484 – 501, (2018).

DOI: 10.1016/j.jesit.2017.04.004

[21] K. Kavitha, and R. Neela, Optimal Allocation of Multi-type FACTS Devices and Its Effect in Enhancing System Security using BBO, WIPSO & PSO,, Elsevier Journal of Electrical Systems and Information Technology, vol. 5, p.777 – 793, (2018).

DOI: 10.1016/j.jesit.2017.01.008

[22] S. Chansareewittaya, and P. Jirapong, Optimal Allocation of Multi-type FACTS Controllers by using Hybrid PSO for Total transfer Capability Enhancement,, Journal of Department of Electrical Engineering, Chiang Mai University, Chiang Mai, Thailand, p.55 – 63, (2015).

DOI: 10.37936/ecti-cit.201591.54404

[23] S. R. Inkollu, and V. R. Kota, Optimal Setting of FACTS Devices for Voltage Stability Improvement using PSo adaptive GSA Hybrid Algorithm,, Elsevier International Journal of Engineering Science and Technology, vol. 19, pp.1166-1176, (2016).

DOI: 10.1016/j.jestch.2016.01.011

[24] K. Ravi, and M. Rajaram, Optimal Location of FACTS Devices using Enhanced Particle Swarm Optimization,, IEEE International Conference on Advanced Communication Control and Computing Technologies (ICACCCT), 2012, p.414 – 419.

DOI: 10.1109/icaccct.2012.6320813

[25] S. Cheng, Y. Sun, J. Chen, Q. Qin, X. Chu, X. Lei, and Y. A. Shi, A Comprehensive Survey of Brain Storm Optimization Algorithms,, IEEE Congress on Evolutionary Computation (CEC), 2017, p.1637 – 1644.

DOI: 10.1109/cec.2017.7969498

[26] J. Xue, Y. Wu, Y. Shi, S. Cheng, Brain Storm Optimization Algorithm for Multi-objective Optimization Problems,, Springer – Verlag Berlin Heidelberg, p.513 – 519, (2012).

DOI: 10.1007/978-3-642-30976-2_62

[27] Z. Beldi, and M. Bessedik, A New Brainstorming Based Algorithm for the Community Detection Problem,, IEEE Congress on Evolutionary Computation (CEC), 2019, p.2958 – 2965.

DOI: 10.1109/cec.2019.8789897

[28] S. Cheng, J. Chen, X. Lei, and Y. Shi, Locating Multiple Optima via Brain Storm Optimization Algorithms,, IEEE Access, vol. 6, p.17039 – 17049, (2018).

DOI: 10.1109/access.2018.2811542

[29] L. A. Ke, A Brain Storm Optimization Approach for the Cumulative Capacitated Vehicle Routing Problem,, Springer – Verlag GmbH Germany, part of Spring Nature, vol. 10, p.411 – 421, (2018).

DOI: 10.1007/s12293-018-0250-0

[30] N. G. Hingorani, and L. Gyugyi, Understanding FACTS Concepts and Technology of Flexible AC Transmission Systems, IEEE Press, by Institute of Electrical and Electronic Engineers, Inc., New York, (2000).

[31] R. Agrawal, S. K. Bharadwaj, and D. P. Kothari, Transmission Loss and TCSC Cost Minimization in Power System using Particle Swarm Optimization,, International Journal of Innovation Resoruces in Electrical, Electronic, Instrumentation and Control Engineering, vol. 4, no. 3, p.226 – 231, (2016).

[32] A. F. Attia, Y. A. Al-Turki, and A. M. Abusorrah, Optimal Power Flow Using Adapted Genetic Algorithm with Adjusting Population Size,, Taylor & Francis Electrical Power, Computers and Systems, vol. 40, no. 11, p.1285 – 1299, (2012).

DOI: 10.1080/15325008.2012.689417