Multivariable Adaptive Hybrid Control Model for Interconnected Power Systems at the Inception of Voltage Collapse

Güç sistemleri, dünyadaki en büyük ve en karmaşık doğrusal olmayan sistemlerden biridir. Çatallaşma olayları elektrik güç sistemlerinde sıradan olaylar değildir. Çatallaşma olayları gerilim çökmesi başlangıcındaki önemli etmenler olarak tespit edilmektedir. Bu çalışmada, çok değişkenli uyarlanabilir hibrit kontrolörün davranışları elektrik güç sistemlerinde çatallaşmayı kontrol etmek amacıyla önerilmektedir. Önerilen kontrol sistemi doğrusal olmayan kontrolörün etkisizliğinden oluşmaktadır. Uzman sistemler kullanılarak etkileşim şartları ve sonrasındaki kazançları en uygun şekilde otomatik olarak ayarlanmıştır. Çatallaşma analizi için güçlü hesaplama araçları, elektrik güç sistemlerinde ortaya çıkan önemli çok değişkenli uyarlanabilir sorunları incelemek amacıyla uygulanmıştır. Çok değişkenli uyarlanabilir hibrit kontrolör, ilk tepkiyi değişkensiz kontrolörden daha iyi verir. Simülasyon sonuçları bu yeni yöntemin etkili bir kontrol sistemi olduğunu göstermektedir.

Gerilim Çökmesi Başlangıcındaki Enterkonnekte Güç Sistemleri için Çok Değişkenli Uyarlanabilir Hibrit Kontrol Modeli

Power systems are one of the largest and most intricate nonlinear systems in the world. Bifurcations phenomena are not rather mundane phenomena in electrical power systems. Bifurcations phenomena is determined to be vital factors at the inception of voltage collapse. In this study, multivariable adaptive hybrid controller behaviors are proposed in order to control bifurcation in electrical power systems. The proposed control system comprises nonlinear controller ineffectiveness. The interaction terms, and then gains are optimally and automatically tuned using expert systems. Robust computational tools for bifurcation analysis have been performed in order to investigation significant multivariable adaptive problems arising in electrical power systems. The multivariable adaptive hybrid controller gives better initial response than invariable controller. The simulation results show that this new method is capable of controlling the system effectively.

PDF

___

Abed, E.H., Hassouneh, M.A., Saad, M.S., 2004. Instability monitoring and control of power systems. Institute for Systems Research, Technical Research Report, TR 36, 1‐20.
Aboreshaid, S., Billinton, R., 1999. Probabilistic evaluation of voltage stability. IEEE Trans. PWRS, 14(1), 342‐348.
Anders, G.J., 1990. Probability Concepts in Electric Power Systems. John Wiley & Sons, New York. Astolfi, A., Karagiannis, D., Ortega, R., 2008. Towards applied nonlinear adaptive control. Annual Reviews in Control, 32(1), 136‐148.
Billinton, R., Aboreshaid, S., 1998. Voltage stability considerations in composite power system reliability evaluation. IEEE Trans. PWRS, 13(2), 655‐660.
Canizares, C.A., Zambroni de Souza, A.C., Quintana, V.H., 1996. Comparison of performance indices for detection of proximity to voltage collapse. IEEE Trans. PWRS, 11(3), 1441‐1447.
Dobson, I. and Chiang, H.D., 1989. Towards a theory of voltage collapse in electric power systems. Systems & Control Letters, 13(3), 253‐262.
Goodwin, G.C., Graebe, S.F., Salgado, M.E., 2000. Control System Design. New Jersey: Prentice Hall, 631‐651.
Hussein, A. and Chen, K., 2003. On efficient methods for detecting Hopf bifurcation with applications to power system instability prediction. International Journal of Bifurcation and Chaos in Applied Sciences and Engineering, 13(1), 1247‐1253.
Karsenti, L., Lagarrigue, F.L., Bastin, G., 1996. Adaptive control of nonlinear systems with nonlinear parameterization. Systems & Control Letters, 27(1), 87‐97.
Leite da Silva, A.M., Arienti, V.L., 1990. Probabilistic load flow by a multilinear simulation algorithm. IEE Proc. Pt. C, 137(4), 276‐282.
Leite da Silva, A.M., Ribeiro, S.M.P., Arienti, V.L., Allan, R.N., Do Coutto Filho, M.B., 1990. Probabilistic load flow techniques applied to power system expansion planning. IEEE Trans. PWRS, 5(4), 276‐282.
Liu, L.D., Hu, J.F., He, Z.S., Han, C.L., 2011. A robust controller for synchronization of chaotic system. Journal of Optoelectronics and Advanced Materials, 13(4), 354‐358.
Meddad, M., Eddiai, A., Belkhiat, S., Cherif, A., Hajjaji, A., Benahdouga, S., Sassi, Z., Touhtouh, S., 2013. Analysis of micro power generator autonomous PZT with use of sliding mode control. Journal of Optoelectronics and Advanced Materials, 15(5‐6), 487‐492.
Niglye, N., Peritore, F.S., Soper, R.D., Anderson, C., Moxley, R., Guzman, A., 2006. Considerations for the application of synchrophasors to predict voltage instability. Power Systems Conference: Advanced Metering Protection Control Communication and Distributed Resources PS06, Clemson, SC, 169‐172.
Öztürk, S. and Gencer, Ö.Ö., 2002. Angle & voltage stability improvement with series compensation. ACTA Press European Power and Energy Systems. Pagilla, P.R., Dwivedula, R.V., Siraskar, N.B., 2007. A decentralized model reference adaptive controller for large scale systems. IEEE ASME Transactions on Mechatronics, 12(2), 154‐163.
Revel, G., Alonso, D.M., Moiola, J.L., 2008. Bifurcation theory applied to the analysis of power systems. Revista De La Union Matematica Argentina, 49(1), 16‐24.
Rubinstein, R.Y., 1981. Simulation and The Monte Carlo Method. John Wiley & Sons, New York. Saad, M.S., Hassouneh, M.A., Abed, E.H., Edris, A., 2005. Delaying instability and voltage collapse in power systems using SVCs with washout filter‐aided feedback. American Control Conference, 6(1), 4357‐ 4362.
Sheng, Z., Han, Q., Ning, J., 2011. Analysis of pump ‐ wavelength drift induced stability problems of cladding ‐ pumped EYDFAs. Optoelectronics and Advanced Materials ‐ Rapid Communications, 5(3), 201‐203.
Sobierajski, M., 1994. Probablistic approach to steady state voltage stability of bulk power systems. Proceedings of the Third International Seminar on Bulk Power System Voltage Phenomena, Voltage Stability, Security and Control, Davos, Switzerland, 325‐331.
Sun, L.Y., Zhao, J., Dimirovski, G.M., 2009. Nonlinear robust controller design for thyristor controlled series compensation. International Journal of Innovative Computing, Information and Control, 5(4), 981‐989.
Thukaram, D., Parthasarathy, K., Khincha, H.P., Norendranath, U., Bansilal, U.A., 1998. Voltage stability improvement: case studies of Indian power Networks. Electric Power Systems Research, 44(1), 35‐44.
Tunç, C., 2011. Instability result of a fifth order non‐ linear delay system. Optoelectronics and Advanced Materials ‐ Rapid Communications, 5(9), 891‐894. Walve, K., 1986. Modelling of power system components at severe disturbances. International Conference on Large High Voltage Electric Systems (CIGRE), Paper 2, 1‐9.
Wang, H.O., Abed, E.H., Hamdan, A.M., 1994. Bifurcations chaos and crises in voltage collapse of a model power system. IEEE Transactions Circuits Systems I, 41(3), 294‐302.
Zambroni de Souza, A.C., Canizares, C.A., Quintana, V.H., 1997. New techniques to speed up voltage collapse computations using tangent vectors. IEEE Trans. PWRS, 12(3), 1380‐1387.