Stability Enhancement of STATCOM using Flower Pollination Algorithm

 
 
 
  • Abstract
  • Keywords
  • References
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  • Abstract


    The Static Synchronous Compensator (STATCOM) is a Voltage Source Converter (VSC) based shunt connected FACTS device. The key roles of STATCOM are to control the voltage at midpoint of transmission line, enhance power transfer capability and control reactive power at load end. However, the performance of STATCOM depends upon the parameters of the controller. In this paper, we present the tuning of Type-1 controller parameters for STATCOM based on a systematic method using Flower Pollination Algorithm (FPA). The margins for the Type-1 controller parameters are estimated from the movement of eigenvalues for the variation in controller parameters during inductive and capacitive modes of STATCOM. The performance of the STATCOM with FPA optimized Type-1 controller parameters is evaluated by transient simulation. The eigenvalue analysis and transient simulation are done based on D-Q model of STATCOM. It is noticed that, the response of STATCOM follows the step change in reactive current reference with least error.

     

     


  • Keywords


    FACTS; Flower Pollination Algorithm (FPA); Static Synchronous Compensator (STATCOM); Voltage Source Converter (VSC).

  • References


      [1] Hingorani N G & Gyugyi L (2000), Understanding FACTS, IEEE Press, New York, pp. 135-205.

      [2] Padiyar K R (2007), FACTS Controllers in Power Transmission and Distribution, New age International (P) Ltd, India, pp.173-213.

      [3] B. S. Chen & Y. Y. Hsu (2008), A minimal harmonic controller for a STATCOM,” IEEE Trans. Ind. Electron., vol. 55, no. 2, pp. 655-664.

      [4] C. H. Liu & Y. Y. Hsu (2010), Design of a self-tuning PI controller for a STATCOM using particle swarm optimization, IEEE Trans. Ind.Electron., vol. 57, no. 2, pp. 702-715.

      [5] Kumaravel G & C. Kumar (2012), Design of self tuning PI controller for STATCOM using Bats Echolocation Algorithm based Neural controller, Int. Conf. on Advances in Engineering, Science and Management (ICAESM), IEEE, pp. 276-281.

      [6] K. R. Padiyar & A. M. Kulkarni (1997), Design of reactive current and voltage controller of static condenser, Int. J. Electr. Power Energy Syst., vol. 19, no. 6, pp. 397-410.

      [7] C. T. Chang & Y. Y. Hsu (2003), Design of an ANN tuned adaptive UPFC supplementary damping controller for power system dynamic performance enhancement, Electr. Power Syst. Res., vol. 66, no. 3, pp. 259-265.

      [8] S. Mohagheghi, Y. del Valle, G. K. Venayagamoorthy & R. G. Harley (2007), A proportional-integral type adaptive critic design-based neuro controller for a static compensator in a multi machine power system, IEEE Trans. Ind. Electron., vol. 54, no. 1, pp. 86-96.

      [9] S. Mohagheghi, R. G. Harley & G. K. Venayagamoorthy (2005), An adaptive Mamdani fuzzy logic based controller for STATCOM in a multi machine power system, in Proc. ISAP, pp. 228-233.

      [10] S. Mohagheghi, G. K. Venayagamoorthy & R. G. Harley (2008), Fully evolvable optimal neuro fuzzy controller using adaptive critic designs, IEEE Trans. Fuzzy Syst., vol. 16, no. 6, pp. 14501461.

      [11] M. Janaki, R. Thirumalaivasan & N. Prabhu (2011), Design of robust current controller using GA for three level 24-pulse VSC based STATCOM, J. Power Electron., vol. 11, no. 3, pp. 375-380.

      [12] M. Janaki, R. Thirumalaivasan & N. Prabhu (2011), Design of robust current controller for two-level 12-pulse VSC-based STATCOM,” Adv. Power Electron., pp. 1-7.

      [13] X.-S. Yang (2012), Flower pollination algorithm for global optimization, in Unconventional Computation and Natural Computation, ed: Springer, pp. 240-249.

      [14] Yang, Xin-She, Mehmet Karamanoglu & Xingshi He (2014), Flower pollination algorithm: a novel approach for multi objective optimization, Engineering Optimization, vol. 46, pp. 1222-1237.

      [15] Dubey, Hari Mohan, Manjaree Pandit & B. K. Panigrahi (2015), Hybrid flower pollination algorithm with time-varying fuzzy selection mechanism for wind integrated multi-objective dynamic economic dispatch, Renewable Energy, vol. 83, pp. 188-202.

      [16] Chiroma, Haruna, et al (2016), A new approach for forecasting OPEC petroleum consumption based on neural network train by using flower pollination algorithm, Applied Soft Computing, vol. 48, pp. 50-58.

      [17] Xu, Shuhui, Yong Wang & Fengyue Huang (2017), Optimization of multipass turning parameters through an improved flower pollination algorithm, The International Journal of Advanced Manufacturing Technology, vol. 89, pp. 503-514.

      [18] Dash, Puja, Lalit Chandra Saikia & Nidul Sinha (2016), Flower pollination algorithm optimized PI-PD cascade controller in automatic generation control of a multi-area power system, International Journal of Electrical Power and Energy Systems, vol. 82, pp. 19-28.

      [19] K. R. Padiyar & N. Prabhu (2006), Design and performance evaluation of subsynchronous damping controller with STATCOM, IEEE Trans. Power Del., vol. 21, no. 3, pp. 1398-1405.

      [20] K. R. Padiyar & V. S. Prakash (2003), Tuning and performance evaluation of damping controller for a STATCOM, Int. J. Electr. Power and Energy Syst., vol. 25, no. 2, pp. 155-166.

      [21] K. R. Padiyar & N. Prabhu (2003), Analysis of sub synchronous resonance with three level twelve-pulse VSC based SSSC, in Proc. IEEE TENCON-2003, vol. 1, pp. 76-80.

      [22] N. Prabhu (2004), Analysis of SubSynchronous Resonance with Voltage Source Converter based FACTS and HVDC Controllers, Ph.D. dissertation, IISc Bangalore.

      [23] K. R. Padiyar (2000), Power System Dynamics Stability and Control, Second Edition, B.S. Publications, Hyderabad, pp. 153-157.

      [24] D. F. Alam, D. A. Yousri & M. B. Eteiba (2015), Flower Pollination Algorithm based solar PV parameter estimation, Energy Convers. Manag., vol. 101, pp. 410-422.

      [25] R. Singh (2004), A Novel Approach for Tuning of Power System Stabilizer Using Genetic Algorithm, M.Sc. dissertation, Indian Inst. of Sci., Bangalore, India.


 

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Article ID: 20897
 
DOI: 10.14419/ijet.v7i4.10.20897




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