Power flow controller based on a new proposed statcom controller
-
2018-12-05 https://doi.org/10.14419/ijet.v7i4.17854 -
STATCOM, Neuro-Fuzzy Controller, DQ Theory, Pulse Width Modulation, Power Flow Controller. -
Abstract
One of the major issues involved in power transmission systems are enhancing the capability of transfer and flexible control of active power through the existing transmission line system. To achieve these goals, power electronics devices for reliable operation and faster control are used and utilized to control the flow of power under the flexible ac transmission systems. STATCOM based on voltage source inverter can compensate a controllable voltage over the identical range of capacitive and inductive independently of the line cur-rent. In this paper, a new proposed scheme of STATCOM using Neuro-Fuzzy logic controller is proposed and trained off-line based on Sugeno type fuzzy logic rules. In addition, dq theory is used to calculate the power system parameters due to its less computation and high accuracy. The simulation results show that the proposed controller is reliable and robust compared with the conventional controllers that are investigated previously.
Â
Â
Â
 -
References
[1] E. Acha, C. Fuerte, H. Ambriz and C. Angeles-Camacho,†FACTS Modeling and Simulation in Power Networksâ€, John Wiley & Sons Ltd, (2004), pp.21-23. https://doi.org/10.1002/0470020164.
[2] R. Mathur and R. Varma ,†Thyristor-based FACTS Controllers for Electrical Transmission Systemsâ€, Wiley-IEEE Press Power engineering, Piscataway, NJ, Mar (2002), pp:34-36,
[3] Hingorani and L. Gyugyi,â€Understanding FACTS, Concepts and technology of flexible AC transmission systemsâ€, IEEE Press, (2000), pp.172-174.
[4] Bo Yang, Guang Zeng,Yanru Zhong and Zhonglai Su, †Cascade STATCOM step wave optimization based on PSOâ€, IEEE International Power Electronics and Application Conference and Exposition, shanghai, china (2014), pp.1445-1450.
[5] G. Venkata and K. Amaresh, †Power Flow with TCSC using Genetic Algorithmâ€, IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES), (2012), pp.1-6.
[6] R. Vanitilaand M. Sudhakaran, †Differential Evolution algorithm based Weighted Additive FGA approach for optimal power flow using muti-type FACTS devicesâ€, Emerging Trends in Electrical Engineering and Energy Management conference (ICETEEEM), Chennai, (2012),pp. 198-204.
[7] Liu Qing and Wang Zengzing, †Coordinated design of multiple FACTS controllers based on fuzzy immune co-evolutionary Algorithm â€, Power & Energy Society General Meeting,Calgary, AB, (2009), pp. 1-6 https://doi.org/10.1109/PES.2009.5275629 ...
[8] S. Panda, and N. P. Padhy, †Comparison of particle swarm optimization and genetic algorithm for FACTS-based controller designâ€, Appl. Soft Compute., vol.8, no.4, pp. 1418-1427.
[9] Anulal A. M, Archana Mohan and Lathika B. S., †Reactive power compensation of wind-diesel hybrid ystem using STATCOM with Fuzzy tuned and ANFIS tuned PID controllersâ€, International Conference on Control Communication & Computing India (ICCC), IEEE Conference,19-21 Nov (2015), pp. 325-330.
[10] Ghias Farivar, Branislav Hredzak and Vassilios G. Agelidis, †Decoupled Control System for Cascaded H-Bridge Multilevel Converter Based STATCOMâ€, IEEE Transactions on Industrial Electronics , vol. 63, Issue 1, (2016), pp. 322-331. https://doi.org/10.1109/TIE.2015.2472358.
[11] V. Ponananthi and B. Rajesh Kumar, †Three-phase statcom controller using D-Q frame theory for a three-phase SEIG feeding single phase loadsâ€, Electronics and Communication Systems (ICECS), IEEE Conference, Coimbatore, India, (2015), pp.926-931. https://doi.org/10.1109/ECS.2015.7125050.
[12] Mohammed Y. Suliman and Sameer Sadoon Al-Juboori, †Design of Fast Real Time Controller for the Dynamic Voltage Restorer Based on Instantaneous Power Theoryâ€, International Journal of Energy and Power Engineering, vol 5, Issue 2-1, (2016), pp. 1-6.
[13] Mohammed Y. Suliman, M. E. Farrag and S. M. Bashi, †Design of Fast Real Time Controller for the SSSC Based on Tanagi- Sugeno (TS) Adaptive Neuro-Fuzzy Control Systemâ€, International Conference on Renewable Energy and Power Quality Spain, vol: ISSN 2172-038 X, no 12, (2014), pp. 1-6.
[14] S. Sumathi and Bansilal, †Artificial neural network application for voltage control and power flow control in power systems with UPFCâ€, IEEE International Conference on Emerging Research in Electronics, Computer Science and Technology (ICERECT), India, (2015), pp. 403-407.
-
Downloads
-
How to Cite
Y.Suliman, M., & Khalil Antar, R. (2018). Power flow controller based on a new proposed statcom controller. International Journal of Engineering & Technology, 7(4), 3826-3829. https://doi.org/10.14419/ijet.v7i4.17854