{"title":"Optimal Placement and Sizing of SVC for Load Margin Improvement Using BF Algorithm","authors":"Santi Behera, M. Tripathy, J. K. Satapathy","volume":94,"journal":"International Journal of Electrical and Computer Engineering","pagesStart":1660,"pagesEnd":1666,"ISSN":"1307-6892","URL":"https:\/\/publications.waset.org\/pdf\/10000935","abstract":"
Power systems are operating under stressed condition
\r\ndue to continuous increase in demand of load. This can lead to
\r\nvoltage instability problem when face additional load increase or
\r\ncontingency. In order to avoid voltage instability suitable size of
\r\nreactive power compensation at optimal location in the system is
\r\nrequired which improves the load margin. This work aims at
\r\nobtaining optimal size as well as location of compensation in the 39-
\r\nbus New England system with the help of Bacteria Foraging and
\r\nGenetic algorithms. To reduce the computational time the work
\r\nidentifies weak candidate buses in the system, and then picks only
\r\ntwo of them to take part in the optimization. The objective function is
\r\nbased on a recently proposed voltage stability index which takes into
\r\naccount the weighted average sensitivity index is a simpler and faster
\r\napproach than the conventional CPF algorithm. BFOA has been
\r\nfound to give better results compared to GA.<\/p>\r\n","references":"[1] T. V. Cutsem, and C. Vournas, \u201cVoltage Stability of Electric Power\r\nSystems\u201d, Norwell, M. A. Kuwer, 1998.\r\n[2] Zhihong Feng, Venkataramana Ajjarapu, and Dominic J. Maratukulam,\r\n\u201cA Comprehensive Approach for Preventive and Corrective Control to\r\nMitigate Voltage Collapse\u201d, IEEE Ttrans, Power Systems, vol. 15, no. 2,\r\nMay 2000. pp. 791-797.\r\n[3] Fernando L. Alvarado, Jianping Meng, Christopher L. De Marco, and\r\nWellington S. Mota, \u201cStability Analysis of Interconnected Power\r\nSystems Coupled with Market Dynamics\", IEEE Trans. Power Systems,\r\nvol. 16, no. 4, Nov. 2001 pp. 695-701.\r\n[4] M. V. Reddy, Yemula Pradeep, V. S. K. Murthy Balijepalli, S.A.\r\nKhaparde, and C. V. Dobaria, \u201cImprovement of Voltage Stability Based\r\non Static and Dynamic Criteria\u201d, in Proceedings of 16th National Power\r\nSystems Conference, 15th-17th Dec, 2010, pp.715\r\n[5] Kundur P, Power System Stability and Control, McGraw-Hill, 1994\r\n[6] Shraddha Udgir, Sarika Varshney, and Laxmi Srivastava, \u201cOptimal\r\nPlacement and Sizing of SVC for Voltage Security Enhancement\u201d,\r\nInternational Journal of Computer Applications, vol 32, no.6, October\r\n2011, pp. 44-51.\r\n[7] Zhihong Feng, Venkataramana Ajjarapu, and Dominic J. Maratukulam,\r\n\u201cA Comprehensive Approach for Preventive and Corrective Control to\r\nMitigate Voltage Collapse\u201d, IEEE Trans. Power Systems, vol. 15, no. 2,\r\nMay 2000, pp.791-797.\r\n[8] M. Nanba, Y. Huang, T. Kai and S. Iwamoto, \u201cStudies on VIPI based\r\ncontrol methods for improving voltage stability\u201d, Electrical Power &\r\nEnergy Systems, vol. 20, no. 2, 1998, pp. 141\u2013146.\r\n[9] D. Thukaram, and Abraham Lomi, \u201cSelection of static VAR\r\ncompensator location and size for system voltage stability\r\nimprovement,\u201d Electric Power Systems Research, vol. 54, 2000, pp.\r\n139\u2013150.\r\n[10] Wei Yan, Juan Yu, David C. Yu, and Kalu Bhattarai, \u201cA New Optimal\r\nReactive Power Flow Model in Rectangular Form and its Solution by Predictor Corrector Primal Dual Interior Point Method\u201d, IEEE Trans.\r\nPower Systems, vol. 21, no. 1, Feb. 2006, pp. 61-67.\r\n[11] Kenji Iba, \u201cReactive Power Optimization by Genetic Algorithm\u201d, IEEE\r\nTrans. Power Systems, vol. 9, no. 2, May 1994, pp. 685-691.\r\n[12] M. Kowsalya, K. K. Ray and D. P. Kothari, \u201cLoss Optimization for\r\nVoltage Stability Enhancement Incorporating UPFC Using Particle\r\nSwarm Optimization\u201d, Journal of Electrical Engineering & Technology,\r\nvol. 4, 2009, pp.492- 498.\r\n[13] M. Tripathy, and S. Mishra, \u201cBacteria Foraging based solution to\r\noptimize both real power loss and voltage stability limit\u201d, IEEE Trans.\r\nPower Systems, vol. 22, no. 1, Feb. 2007, pp. 240-248.\r\n[14] K. M. Passino, \u201cBiomimicry of bacterial foraging for distributed\r\noptimization and control\u201d, IEEE Control System, June-2002, pp.52-67.","publisher":"World Academy of Science, Engineering and Technology","index":"Open Science Index 94, 2014"}