Risk-based Static and Dynamics Security Assessment and Its Enhancement with Particle Swarm Optimization Generation Realloca
Subject Areas : electrical and computer engineering
1 - Tarbiat Modares University
2 - Tarbiat Modares University
Abstract :
Security assessment is traditionally checked using a deterministic criterion. Based on that, the system may be considered as secured or unsecured. If an unsecured condition is detected, preventive actions are foreseen to make it secure. Recently, risk based security assessment is used in power systems. In this paper, risk-based static and dynamic security assessment is proposed and a new transient stability index is defined. In this paper, the risk index is used as an objective function in the generation reallocation algorithm. In this algorithm, the security is maintained using the generation reallocation. The algorithm is tested on IEEE 24-bus test system and its capabilities are assessed in comparison with a traditional OPF, in which the security is maintained based on a deterministic criterion. Particle Swarm Optimization (PSO) algorithm is used as the optimization tool.
[1] J. D. McCalley, et al., "Probabilistic security assessment for power system operations," in Proc. Power Engineering Society General Meeting, IEEE, vol. 1, pp. 212-220, Jun. 2004.
[2] N. Ming, J. D. McCalley, V. Vittal, and T. Tayyib, "Online risk - based security assessment," IEEE Trans. on Power Systems, vol. 18, no. 1, pp. 258-265, Feb. 2003.
[3] IEEE Reliability Test System Task Force of Applications of Probability Methods Subcommittee, "IEEE reliability test system - 96," IEEE Trans. on Power Systems, vol. 14, no. 3, pp. 1010-1020, Aug. 1999.
[4] H. He, J. Guo, Y. Song, and D. Zhang, "Risk based probabilistic security evaluation algorithm of bulk power system," in Proc. 3rd Int. Conf. on Electric Utility Deregulation and Restructuring and Power Technologies, DRPT 2008, pp. 1231-1236, 6-9 Apr. 2008.
[5] K. Bell and M. Rios, Value of Security - User Guide, Manchester Centre for Electrical Energy, Manchester, UK, Oct. 1999.
[6] D. Z. Fang, Y. Xiaodong, S. Jingqiang, Y. Shiqiang, and Z. Yao, "An optimal generation rescheduling approach for transient stability enhancement," IEEE Trans. on Power Systems, vol. 22, no. 1, pp. 386-394, Feb. 2007.
[7] E. Vaahedi, W. Li, T. Chia, and H. Dommel, "Large scale probabilistic transient stability assessment using B. C. Hydro's on - line tools," IEEE Trans. on Power Systems, vol. 15, no. 2, pp. 661-667, May 2000.
[8] W. Li and J. K. Korczynski, "Risk evaluation of transmission systems operation modes: concept, method, and application," in Proc. IEEE Power Engineering Society Winter Meeting, vol. 2, pp. 1124-1129, Jan. 2002.
[9] W. Li and J. K. Korczynski, "A reliability based approach to transmission maintenance planning and its application in BC hydro system," IEEE Trans. on Power Delivery, vol. 19, no. 1, pp. 303-308, Jan. 2004.
[10] A. L. Bettiol, D. Ruiz - Vega, D. Ernst, L. Wehenkel, and M. Pavella, "Transient stability - constrained optimal power flow," in Proc. IEEE Power Tech Conf., p. 62, Budapest, Hungary, Aug. 1999.
[11] L. Chen, Y. Tada, H. Okamoto, R. Tanabe, and A. Ono, "Optimal operation solutions of power systems with transient stability constraints," IEEE Trans. Circuits Syst., vol. 48, no. 3, pp. 327-339, Mar. 2001.
[12] L. Nepomuceno and P. S. da Silva, "An active/reactive predispatch model incorporating ramp rate constraints solved by dual decomposition/Lagrangian relaxation," in Proc. IEEE/PES Transmission and Distribution Conf. and Exposition: Latin America, pp. 633-638, Nov. 2004.
[13] L. D. Aryaa, L. S. Titareb, and D. P. Kotharic, "An approach to mitigate the risk of voltage collapse accounting uncertainties using improved particle swarm optimization," Applied Soft Computing, vol. 9, no. 4, pp. 1197-1207, Sep. 2009.
[14] J. Hazra and A. K. Sinha, "Congestion management using multiobjective particle swarm optimization," IEEE Trans. on Power Systems, vol. 22, no. 4, pp. 1726-1734, Nov. 2007.
[15] G. Baskar and M. R. Mohan, "Contingency constrained economic load dispatch using improved particle swarm optimization for security enhancement," Electric Power Systems Research, vol. 79, no. 4, pp. 615-621, Apr. 2009.
[16] W. Ongsakul and N. Petcharaks, "Fast Lagrangian relaxation for constrained generation scheduling in a centralized electricity market," Int. J. Electrical Power and Energy Systems, vol. 30, no. 1, pp. 46-59, Jan. 2008.
[17] F. Manfred, Bedrinana, Student Member, IEEE, A. Joao Bosco, A. F. Carlos, Murari, Member, IEEE, and A. Carlos Castro, Senior Member, IEEE, "Decisions in power system operation based on fuzzy economic and environmental Dispatch," 978-1-4244-2190-9/07/$25.00 ©2007 IEEE.
[18] C. Rani, M. Rajesh Kumar, and K. Pavan, "Multi-objective generation dispatch using particle swarm optimization," in Proc. of India Int. Conf. on Power Electronics, pp. 421-424, 19-21 Dec. 2006.
[19] F. Xiao and J. D. McCalley, "Power system risk assessment and control in a multiobjective framework," IEEE Trans. on Power Systems, vol. 24, no. 1, pp. 78-85, Feb. 2009.
