WSEAS Transactions on Power Systems


Print ISSN: 1790-5060
E-ISSN: 2224-350X

Volume 12, 2017

Notice: As of 2014 and for the forthcoming years, the publication frequency/periodicity of WSEAS Journals is adapted to the 'continuously updated' model. What this means is that instead of being separated into issues, new papers will be added on a continuous basis, allowing a more regular flow and shorter publication times. The papers will appear in reverse order, therefore the most recent one will be on top.



Voltage Security Enhancement with Corrective Control Including Generator Ramp Rate Constraint

AUTHORS: P. Aruna Jeyanthy, D. Deveraj, J. D. Darwin

Download as PDF

ABSTRACT: Corrective action for voltage stability is one of the issues which the electrical utilities care most about. This paper deals with the development of optimization model that is capable of performing corrective control action. Though the preventive control approach is preferred for the secure operation of the system, corrective control can also be carried out as it is considered economical. Corrective control actions would maintain voltage stability of the system in case of severe and unforeseen contingencies. Under the corrective control strategy, control actions are not taken until the contingency actually occurs. But a contingency plan is prepared in advance for the identified severe cases. Corrective control is activated when a contingency has occurred endangering voltage stability. The objective of this paper is to achieve maximum voltage stability margin in the contingency state while satisfying system and equipment constraints. Also the generator ramp rate constraints are taken into account for the system’s corrective control capabilities after the outage has occurred. Particle Swarm Optimization (PSO) algorithm is applied to solve this optimization problem. The effectiveness of this algorithm is demonstrated through the Voltage Security Enhancement in the IEEE 30-bus and IEEE 57-bus test systems.

KEYWORDS: L-index, ramp rate, Particle swarm optimization (PSO), Optimal power flow (OPF)

REFERENCES:

[1] Mansour, Y. “Voltage Stability of Power Systems: Concepts, Analytical Tools and Industry Experience”, IEEE Press, 1990.

[2] Carpinelli, G., Lauria, D. and Varilone, P. “Voltage stability analysis in unbalanced power systems by optimal power flow”, IEE Proc. Generation Transmission Distribution, Vol. 153, No. 3, 2006, pp.261-268.

[3] Aumuller, C. and Saha, T. K. “Analysis and assessment of large scale power system voltage stability by a novel sensitivity based method”, Proc. of IEEE/PES Summer Meeting, Vol. 3, 2002, pp. 1621-1626.

[4] Berizzi, A., Bresesti, P., Marannino, P., Montagna, M., Corsi, S. and Piccini, G. “Security enhancement aspects in the reactive-voltage control”, IEEE Transactions of Power Systems, 1995, pp. 674–679.

[5] Berizzi, A., Finazzi, P. and Dosi, D. “First and second order methods for voltage collapse assessment and security enhancement”, IEEE Trans. Power System, Vol. 13, No. 2, 1998, pp.543-551.

[6] Nanba, M., Huang, Y., Kai, T. and Iwamoto, S. “Studies on VIPI based control methods for improving voltage stability”, Proc. PSCC, Vol.2, 1996, pp. 651–657.

[7] Cai Li-Jun and Erlich Istvan, “Power system static voltage stability analysis considering all active and reactive power controls - singular value approach”, Proc. of IEEE Power Tech, 2007, pp.367-373.

[8] Schlueter, R.A., Liu, S. Z. and Kilani, K. B. “Justification of the voltage stability security assessment and diagnostic procedure using a bifurcation subsystem method”, IEEE Trans. Power System, Vol. 15, No. 3, 2000, pp. 1105- 1111.

[9] Wang, Y., Da Silva, L. C. P., Xu, W. and Zhang, Y. “Analysis of ill-conditioned power-flow problems using voltage stability methodology”, IEE Proc. – Gener. Transm. Distribution, Vol.148, No. 5, 2001, pp. 384- 390.

[10] Tiranuchit, A. and Thomas, R.J. “A posturing strategy against voltage instability in Electric power systems”, IEEE Transactions on Power Systems, Vol. 3, No. 1, 1998, pp. 87- 93.

[11] Song, H. “Reactive Reserve-Based Contingency Constrained optimal Power Flow for Enhancement of Voltage Stability Margins”, IEEE Transaction on Power System, Vol. 18, No. 4, 2003.

[12] Banislal, Thukaram, D. and Parthasarathy, K, “Optimal reactive power dispatch algorithm for voltage stability improvement”, Electrical power and energy systems. Vol. 18, no.7, 1996, pp.461-468.

[13] Kessel, P. and Glavitch, H. “Estimating the voltage stability of a power system”, IEEE Trans. Power Delivery, Vol.1, No. 3, 1986 pp. 346- 354.

[14] Gao, B., Morisan G.K. and Kundur, P. “Voltage Stability Evaluation using Modal Analysis”, IEEE Transactions on Power Systems, Vol.7, No.1992, pp. 1529-1542.

[15] Yue Yuan, Kejun Qian and Xuehong Wen. “Discussion about the corrective control for voltage stability of complex power systems based on Primal – Dual Interior point method”, Int. Conference on PST, , 2006, pp. 1-6.

[16] Sarosh TaluMar and Ramesh, V. C. “A multi-agent technique for contingency constrained optimal power flows”, IEEE Transactions on Power Systems, Vol. 9, No. 2, 1994, pp. 855-861.

[17] Angel, L.Trigo, Jose, L.Martinez, Jesus Riqueline and Esther Romero. “A heuristic technique to determine corrective actions for reactive power flows”, Electric Power System Research, Vol. 81, issue 1, January 2011.

[18] Florin Capitanescu, Thireey Vancutsen, and Loiyis Wehenkel, “Coupling optimization and dynamic simulation for preventive, corrective control of voltage instability” Transactions on power systems, Vol. 24, No.2, 2009.

[19] Paranjothi S R, and Anburaja K,”Optimal power flow using refined genetic algorithm”, Electric power components and systems, Vol.30,2002, pp.1055-1063.

[20] Yuryvich J and Wong K P,”Evolutionary programming based optimal power flow algorithm”, IEEE Transactions on Power System, Vol.14, No.4, 1999, pp.1245-50.

[21] Somasundaram P , Kuppusamy K and Devi,R.P.K,” Evolutionary programming based security constrained optimal power flow”, Electric power system research, Vol.72, 2004 pp.137-145.

[22] Ali E and ABD-Elazim S ,”Power system stability Enhancement Via Bacteria foraging optimization algorithm”, International Arabian Journal of Science and Engineering, Vol.38,No.3,March2013, pp.599-611.

[23] Kennedy J. “The particle swarm: social adaptation of knowledge,” Proc 1997 IEEE International Conf. Evolutionary Computing. ICEC, 97, Indianapolis, IN, USA, 1997 pp. 303-308.

[24] Kennedy, J. and Eberhart, R. “Particle Swarm Optimization, Proc. IEEE Int. Conf. Neural Networks”, Vol. 4, 1995, pp.1942- 1948.

[25] Oshaba A S and Ali E S “Speed control of induction motor fed from wind turbine via PSO based PI controller,” Research Journal of Applied Sciences, Engineering and Technology (Maxwell Science Publications), Vol, 5 No.18, May 2013, pp.4594-4606.

[26] Oshaba A S and Ali E S ,”Swarming speed control for dc permanent magnet drive via pulse width modulation technique and dc/dc converter”, International Research journal of Applies sciences, Engineering and Technology(Maxwell Science Publication),Vol. 5 No.18,May 2013, pp.4576-4583.

[27] Abd –Elazim S and Ali E,”Synergy of PSO and Bacteria Foraging for TCSC Damping Controller Design”, International journal of WSEAS Transactions on Power Systems, Vol.8, No.2, April 2013, pp.74-84.

[28] Alsac O and Scott B,” Optimal load flow with steady state security”, IEEE Transaction on Power Systems. PAS -1973, pp. 745-751.

WSEAS Transactions on Power Systems, ISSN / E-ISSN: 1790-5060 / 2224-350X, Volume 12, 2017, Art. #32, pp. 269-277


Copyright © 2017 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution License 4.0

Bulletin Board

Currently:

The editorial board is accepting papers.


WSEAS Main Site