An Effective Method for Maximizing Social Welfare in Electricity Market via Optimal TCSC Installation
Abstract
The evolving electricity market has increased power demand and has brought many social benefits. Meanwhile, the transmission systems are not developed to the same extent because building new lines is difficult for environmental and political reasons. Hence, the systems are driven close to their limits resulting in congestions and critical situations endangering the system’s security. Due to this, the study of enhancing the transfer capability of existing power networks to satisfy the increased power demand, maximum social welfare, and ensure its secure operation has become one of the challenges the Independent System Operator faces in the electricity market. In order to solve this problem without building more transmission lines, the installation of FACTS devices can be a better alternative. Among FACTS devices, thyristor-controlled series compensator (TCSC) is one that can redistribute power flow in the network to improve the transfer capability of the existing system effectively. However, it is very difficult to implement. This paper presents the implementation of the Cuckoo Optimization Algorithm (COA) to solve the OPF problem which is formulated as a nonlinear optimization problem with equality and inequality constraints in a power system for social welfare maximization via the optimal installation of TCSC devices. As Cuckoo Search Algorithm (CSA), the COA also starts with an initial population-based metaheuristic optimization inspired by the nature of brood parasitism of some cuckoo species. However, unlike CSA, COA uses the cuckoo’s style for egg-laying to optimize the local search instead of using Lévy flights. This model is tested in IEEE 14 and IEEE 30 bus systems. Simulations results are compared with GA and GWO and show that the COA is one useful method for TCSC installation to maximize social welfare.
Keywords:
cuckoo optimization algorithm, FACTS, TCSC, social benefits, electricity marketDownloads
References
J. D. Weber, T. J. Overbye, “An individual welfare maximization algorithm for electricity markets”, IEEE Transactions Power Systems, Vol. 17, No. 3, pp. 590-596, 2002 DOI: https://doi.org/10.1109/TPWRS.2002.800899
H. Liu, Y. Shen, Z. B. Zabinsky, C. C. Liu, A. Courts, S. K. Joo, “Social welfare maximization in transmission enhancement considering network congestion”, IEEE Transactions on Power Systems, Vol. 23, No. 3, pp. 1105-1114, 2008 DOI: https://doi.org/10.1109/TPWRS.2008.926717
K. Singh, N. P. Padhy, J. D. Sharma, “Social welfare maximization considering reactive power and congestion management in the deregulated environment”, Electric Power Components and System, Vol. 38, No. 1, pp. 50-71, 2010 DOI: https://doi.org/10.1080/15325000903273312
D. Gautam, N. Mithulananthan, “Locating distributed generator in the LMP-based electricity market for social welfare maximization”, Electric Power Components and Systems, Vol. 35, No. 5, pp. 489–503, 2007 DOI: https://doi.org/10.1080/15325000601078146
P. S. Georgilakis, P. G. Vernados, “Flexible AC transmission system controllers: An evaluation”, Materials Science Forum, Vol. 670, pp. 399-406, 2011 DOI: https://doi.org/10.4028/www.scientific.net/MSF.670.399
M. Y. A. Khan, U. Khalil, H. Khan, A. Uddin, S. Ahmed, “Power flow control by unified power flow controller”, Engineering, Technology & Applied Science Research, Vol. 9, No. 2, pp. 3900-3904, 2019 DOI: https://doi.org/10.48084/etasr.2587
Z. M. Zohrabad, “Application of hybrid HS and tabu search algorithm for optimal location of facts devices to reduce power losses in power systems”, Engineering, Technology & Applied Science Research, Vol. 6, No. 6, pp. 1217-1220, 2016 DOI: https://doi.org/10.48084/etasr.725
S. K. Verma, S. N. Singh, H. O. Gupta, “Location of unified power flow controller for congestion management”, Electric Power Systems Research, Vol. 58, No. 2, pp. 89–96, 2001 DOI: https://doi.org/10.1016/S0378-7796(01)00123-7
S. N. Singh, A. K. David, “Optimal location of facts devices for congestion management”, Electric Power Systems Research, Vol. 58, No. 2, pp. 71–79, 2001 DOI: https://doi.org/10.1016/S0378-7796(01)00087-6
N. Acharya, 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 DOI: https://doi.org/10.1016/j.epsr.2006.03.016
K. Soleimani, J. Mazloum, “Considering facts in optimal transmission expansion planning”, Engineering, Technology & Applied Science Research, Vol. 7, No. 5, pp. 1987-1995, 2017 DOI: https://doi.org/10.48084/etasr.1358
G. B. Shrestha, W. Feng, “Effects of series compensation on spot price power markets”, International Journal of Electric Power & Energy Systems, Vol. 27, No. 5, pp. 428–436, 2005 DOI: https://doi.org/10.1016/j.ijepes.2005.03.001
T. L. Duong, Y. J. Gang, L. A. T. Nguyen, G. Z. Wei, “Enhancing total transfer capability via optimal location of TCSC in deregulated electricity market”, Recent Advances in Electrical Engineering and Related Sciences, Vol. 282, pp. 47-56, 2013 DOI: https://doi.org/10.1007/978-3-642-41968-3_6
T. L. Duong, Y. J. Gang, K. Tong, “Optimal location of thyristor-controlled-series-capacitor using min cut algorithm”, TELKOMNIKA Indonesian Journal of Electrical Engineering, Vol. 12, No. 5, pp. 3649-3661, 2014 DOI: https://doi.org/10.11591/telkomnika.v12i5.4423
T. L. Duong, Y. J. Gang, T. V. Anh, “Application of min cut algorithm for optimal location of facts devices considering system loadability and cost of installation”, International Journal of Electrical Power & Energy Systems, Vol. 63, pp. 979–987, 2014 DOI: https://doi.org/10.1016/j.ijepes.2014.06.072
T. L. Duong, Y. J. Gang, V. A. Truong, “Improving the transient stability-constrained optimal power flow with thyristor controlled series capacitor”, Russian Electrical Engineering, Vol. 85, No. 12, pp. 777–784, 2014 DOI: https://doi.org/10.3103/S1068371214120165
T. L. Duong, Y. J. Gang, V. A. Truong, “A new method for secured optimal power flow under normal and network contingencies via optimal location of TCSC”, International Journal of Electrical Power & Energy Systems, Vol. 52, pp. 68–80, 2013 DOI: https://doi.org/10.1016/j.ijepes.2013.03.025
T. Kang, J. G. Yao, T. L. Duong, S. J. Yang, X. Q. Zhu, “A hybrid approach for power system security enhancement via optimal installation of flexible AC transmission system (facts) devices”, Energies, Vol. 10, No. 9, pp. 1305-1337, 2017 DOI: https://doi.org/10.3390/en10091305
D. T. Long, N. H. Q. Viet, V. A. Truong, V. T. Kien, “Optimal location of facts devices for congestion management and loadability enhancement”, Journal Electrical Systems, Vol. 13. No. 3, pp. 579-594, 2017
W. M. Lin, S. J. Che, Y. S. Su, “An application of interior-point based OPF for system expansion with facts devices in a deregulated environment”, IEEE International Conference on Power System Technology, Perth, Australia, December 4-7, 2000
Z. Yu, D. Lusan, “Optimal placement of facts devices in deregulated systems considering line losses”, International Journal of Electrical Power & Energy Systems, Vol. 26, No 10, pp. 813-819, 2004 DOI: https://doi.org/10.1016/j.ijepes.2004.07.003
S. K. Behera, N. K. Mohanty, “Social welfare maximization with thyristor-controlled series compensator using grey wolf optimization algorithm”, The International Journal of Electrical Engineering & Education, Vol. 56, No. 1, pp. 1-14, 2019
S. H. Song, J. U. Lim, S. Moon, “Installation and operation of facts devices for enhancing steady-state security”, Electric Power Systems Research, Vol. 70, No. 1, pp. 7–15, 2004 DOI: https://doi.org/10.1016/j.epsr.2003.11.009
S. M. H. Nabavi, A. Kazemi, M. A. S. Masoum, “Social welfare maximization with fuzzy based genetic algorithm by TCSC and SSSC in double-sided auction market”, Scientia Iranica, Vol. 19, No. 3, pp. 745–758, 2012 DOI: https://doi.org/10.1016/j.scient.2011.04.028
S. M. H. Nabavi, N. A. Hosseinipoor, “Social welfare maximization by optimal locating and sizing of TCSC for congestion management in deregulated power markets”, International Conference on Power System Technology, Hangzhou, China, October 24-28, 2010 DOI: https://doi.org/10.1109/POWERCON.2010.5666042
K. Balamurugan, R. Muralisachithanandam, V. Dharmalingam, “Performance comparison of evolutionary programming and differential evolution approaches for social welfare maximization by placement of multi type facts devices in pool electricity market”, International Journal of Electrical Power & Energy Systems, Vol. 67, pp. 517–528, 2015 DOI: https://doi.org/10.1016/j.ijepes.2014.12.007
R. Rajabioun, “Cuckoo optimization algorithm”, Applied Soft Computing, Vol. 11, No. 8, pp. 5508-5518, 2011 DOI: https://doi.org/10.1016/j.asoc.2011.05.008
T. N. L. Anh, D. N. Vo, W. Ongsakul, P. Vasant, T. Ganesan, “Cuckoo optimization algorithm for optimal power flow”, 18th Asia Pacific Symposium on Intelligent and Evolutionary Systems, Singapore, November 10-12, 2015
L. L. Lai, Power system restructuring and deregulation, John Wiley and Sons, 2001 DOI: https://doi.org/10.1002/0470846119
R. Zimmerman, D. Gan, MATPOWER: A matlab power system simulation package, Cornell University, 2016
T. Pend, K. Tomsovic, “Congestion influence on bidding strategies in an electricity market”, IEEE Transactions on Power Systems, Vol. 18, No. 3, pp. 1054–1061, 2003 DOI: https://doi.org/10.1109/TPWRS.2003.810893
Downloads
How to Cite
License
Authors who publish with this journal agree to the following terms:
- Authors retain the copyright and grant the journal the right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) after its publication in ETASR with an acknowledgement of its initial publication in this journal.
