Servicios Personalizados
Revista
Articulo
Indicadores
- Citado por SciELO
- Accesos
Links relacionados
- Similares en SciELO
Compartir
Journal of applied research and technology
versión On-line ISSN 2448-6736versión impresa ISSN 1665-6423
J. appl. res. technol vol.11 no.1 Ciudad de México feb. 2013
Controller Design of STATCOM for Power System Stability Improvement Using Honey Bee Mating Optimization
A. Safari*1, A. Ahmadian2, M. A. A. Golkar3
1 Department of Electrical Engineering, Ahar Branch, Islamic Azad University, Ahar, Iran. *a-safari@iau-ahar.ac.ir
2 The Electrical Engineering Department of K. N. Toosi University of Technology, Tehran, Iran.
3 The Electrical Engineering Department of K. N. Toosi University of Technology, Tehran, Iran.
ABSTRACT
Damping of low frequency electromechanical oscillations is very important for a safe system operation. The fast acting, of a static synchronous compensator (STATCOM) which is capable of improving both steady state and dynamic performance permits newer approaches to system stabilization. This paper presents a novel methodology for tuning STATCOM based damping controller in order to enhance the damping of system low frequency oscillations. The design of STATCOM parameters are considered an optimization problem according to the time domain-based objective function solved by a Honey Bee Mating Optimization (HBMO) algorithm that has a strong ability to find the most optimistic results. To validate the results accuracy, a comparison with Genetic Algorithm (GA) has been made. The effectiveness of the proposed controller is demonstrated through nonlinear time-domain simulation and some performance indices studies over a wide range of loading conditions. The simulation study shows that the designed controller by HBMO performs better than GA in finding the solution. Moreover, the system performance analysis under different operating conditions shows that the φ based controller is superior to the C based controller.
Keywords: STATCOM, honey bee mating optimization, power oscillation damping controller, low frequency oscillations.
DESCARGAR ARTÍCULO EN FORMATO PDF
References
[1] A.T. Al-Awami et al., A particle-swarm based approach of power system stability enhancement with unified power flow controller, International Journal of Electrical Power and Energy System, Vol. 29, pp. 251-259, 2007. [ Links ]
[2] J. Machowski and J. W. Bialek, State variable control of shunt FACTS devices using phasor measurements, Electric Power Systems Research, Vol. 78, pp. 39-4, 2008. [ Links ]
[3] A. E. Hammad, Analysis of power system stability enhancement by static VAR compensators, IEEE Transaction. Power System, No.4, pp. 222-227, 1986. [ Links ]
[4] M. Noroozian and G. Anderson, Damping of power system oscillations by use of controllable components, IEEE Transaction Power Delivery Vol. 9, pp. 2046-2054, 1994. [ Links ]
[5] M. A. Abido and Y. L. Abdel-Magid, Analysis and Design of power system stabilizers and FACTS based stabilizers using genetic algorithms, in: Proceedings of the 14th power system computation conference PSCC-, Session 14, Paper 4, Seville, Spain, 2002, June 24-28. [ Links ]
[6] N. Mithulanathan, et al., Comparison of PSS, SVC and STATCOM controllers for damping power systems oscillations, IEEE Transaction. Power System, Vol. 18, pp.786-792, 2003. [ Links ]
[7] S. Morris, et al., A fuzzy variable structure controller for STATCOM, Electric Power Systems Research, Vol. 65, pp. 23-34, 2003. [ Links ]
[8] N. G. Hingorani and L. Gyugyi, Understanding FACTS: concepts and technology of flexible AC transmission systems, Wiley-IEEE Press, 1999. [ Links ]
[9] H. F. Wang, Phillips-Heffron model of power systems installed with STATCOM and applications, IEE Proc. on Generation Transmission and Distribution, Vol. 146, pp. 521-527, 1999. [ Links ]
[10] A. Safari and H. Shayeghi, Optimal design of UPFC based damping controller using iteration PSO, World academy of science, Engieering and technology, Vol. 52, pp. 709-714, 2009. [ Links ]
[11] A. Safari, et al., A chaotic optimization algorithm to output feedback damping controller design for a STATCOM, International Journal on technical and physical problems of engineering, Vol. 1, pp.44-50, 2010. [ Links ]
[12] A. H. M. A. Rahim and M. F. Kandlawala, Robust STATCOM voltage controller design using loop shaping technique, Electric Power Systems Research, Vol. 68, pp. 61-74, 2004. [ Links ]
[13] A. L. Gerardo, et al., Comparative Study of Parallel Variants for a Particle Swarm Optimization Algorithm Implemented on a Multithreading GPU, Journal Applied of Research and Technology (JART), Vol.7, pp. 292-309, 2009. [ Links ]
[14] H. Rezazadeh, et al., Linear programming embedded particle swarm optimization for solving an extended model of dynamic virtual cellular manufacturing systems, Journal Applied of Research and Technology (JART), Vol.7, pp. 83-108, 2009. [ Links ]
[15] M. A. Abido, Analysis and assessment of STATCOM based damping stabilizers for power system stability enhancement, Electric Power Systems Research, Vol. 73, pp. 177-185, 2005. [ Links ]
[16] R. C. Eberhart and Y. Shi, Comparison between genetic algorithms and particle swarm optimization, in IEEE International Conference Evolutionary Computation, May 1998, pp. 611-616. [ Links ]
[17] D. B. Fogel, Evolutionary Computation: Toward a New Philosophy of Machine Intelligence, 2ed. Piscataway, NJ: IEEE Press, 2000. [ Links ]
[18] C. Zhang, et al., An Artificial Bee Colony Approach for Clustering, Expert Systems with Applications, Vol. 37, pp. 4761-4767, 2010. [ Links ]
[19] O.B. Haddad et al. Honey bee mating optimization (HBMO) algorithm, A new Heuristic approach for water resources optimization, Water Resources Management, Vol. 20, pp. 661-680, 2006. [ Links ]
[20] A. Afshar, et al., Honey bee mating optimization (HBMO) algorithm for optimal reservoir operation, Journal of Franklin Institute, Vol. 344, pp. 452- 462, 2007. [ Links ]
[21] T. Niknam, et al., A new honey bee mating optimization algorithm for non-smooth economic dispatch, Energy, Vol. 36, pp. 896-908, 2011. [ Links ]
[22] M. A. Golkar and M., Zarringhalami, Coordinated Design of PSS and STATCOM Parameters for Power System Stability Improvement Using Genetic Algorithm, Iranian Journal of Electrical and Computer Engineering, Vol. 8, pp. 80-88, 2009. [ Links ]
[23] D. Rosas, et al., control of a saddle node bifurcation in a power system using a PID controller, Journal Applied of Research and Technology (JART), Vol.1, pp. 94-102, 2003. [ Links ]
[24] D. A. Coley, An introduction to genetic algorithms for scientists and engineers, World Scientific Publishing Co, 1999. [ Links ]
[25] D. E. Goldberg, Genetic Algorithms in Search, Optimization and Machine Learning, Addison Wesley, 1989. [ Links ]