Impact Assessment of Vehicle-to Grid in Frequency Control of Multi-area Hybrid System

  • Authors

    • Pushpa Gaur
    • Debashish Bhowmik
    • Nirmala Soren
    2018-12-19
    https://doi.org/10.14419/ijet.v7i4.41.24508
  • Classical controllers, Frequency regulation, Multi-source systems, Renewable energy sources, Vehicle-to-grid.
  • Vehicle-to-grid (V2G) may play a vital role in the frequency regulation of an interconnected power system in the near future. This paper presents a frequency regulation scheme of a multi-source power system with the integration of renewable energy source (RES) and electric vehicles (EVs). The application of Two Degree of Freedom Proportional-Integral-Derivative (2DOF-PID) controller and a new optimization technique called as Wind Driven Optimization for simultaneous optimization of the controller gains and parameters has been attempted. Comparison of 2DOF-PID controller with classical controllers like Proportional-Integral-Derivative, Proportional-Integral, and Integral controllers reveals the superiority of the former under nominal as well as random system conditions. The impact of addition of RES and EVs into the system is verified in terms of reduction of the magnitude and numbers of oscillations of the system responses under nominal.  The system may encounter simultaneous change in loading in more than one areas. Hence, the effectiveness of EVs has been tested under simultaneous perturbation in two and three areas, and the performance of V2G is appreciable under simultaneous perturbation also.

     

     


     
  • References

    1. [1] Elgard, O.I.: ‘Electric energy systems theory’, New York, McGraw Hill, 1982

      [2] Elgerd, O.I., Fosha, C.: ‘Optimum megawatt frequency control of multi-area electric energy systems’, IEEE Trans. Power App. Syst., 1970, 89, (4), pp. 556–563

      [3] Nanda, J., Mangla, A., Suri, S.: ‘Some new findings on automatic generation control of an interconnected hydrothermal system with conventional controllers’, IEEE Trans. Energy Convers., 2006, 21, (1), pp. 187-193

      [4] Barisal, A.K.: ‘Comparative performance analysis of teaching learning based optimization for automatic load frequency control of multi-source power systems’, Int. J. of Electrical Power & Energy Systems, 2015, 66, pp. 67-77

      [5] J. Buzs, Block-oriented modelling of solar –thermal system, PhD dissertation, Mechanical Engineering, Szent Istvn University (Hungary) 2009

      [6] T. N. Pham, H. Trinh, and L. V. Hien: ‘Load frequency control of power systems with electric vehicles and diverse transmission links using distributed functional observers’, IEEE Trans. On Smart Grid, 2016, 7, (1), pp. 238–252

      [7] Datta, M., Senjyu, T.: Fuzzy Control of Distributed PV Inverters/Energy Storage Systems/Electric Vehicles for Frequency Regulation in a Large Power System’, IEEE Trans. On Smart Grid, 2013, 4, (1), pp. 479-488

      [8] Taisuke Masuta, Akihiko Yokoyama: ‘Supplementary Load Frequency Control by Use of a Number of Both Electric Vehicles and Heat Pump Water Heaters’, IEEE Transactions on Smart Grid, 2012, 3, (3), pp. 1253-1262

      [9] Seyedmahdi Izadkhast, Pablo Garcia-Gonzalez, Pablo Frìas, Laura Ramìrez-Elizondo, Pavol Bauer: An Aggregate Model of Plug-in Electric Vehicles Including Distribution Network Characteristics for Primary Frequency Control’, IEEE Transactions on Power Systems, 2016, 31, (4), pp. 2987-2998

      [10] Hongming Yang, C. Y. Chung, Junhua Zhao: ‘Application of Plug-In Electric Vehicles to Frequency Regulation Based on Distributed Signal Acquisition Via Limited Communication’, IEEE Transactions on Power Systems, 2013, 28, (2), pp. 1017-1026

      [11] Sahu, R. K., Panda, S., Rout, U. K., Sahoo, D. K.: ‘Teaching learning based optimization algorithm for automatic generation control of power system using 2DOF PID controller’, International Journal of Electrical Power & Energy Systems, 2016, 77, pp. 287-301

      [12] Chang, C.S., Fu, W.: ‘Area load frequency control using fuzzy gain scheduling of PI controllers’, Electr Power Syst Res, 1997, 42, pp. 145–52

      [13] Pappachen, A., A. Peer Fathima: ‘Load frequency control in deregulated power system integrated with SMES–TCPS combination using ANFIS controller’, International Journal of Electrical Power & Energy Systems, 2016, 82, pp. 519-534

      [14] Nikmanesh, E., Hariri, O., Shams, H., Fasihozaman, M.: ‘Pareto design of Load Frequency Control for interconnected power systems based on multi-objective uniform diversity genetic algorithm (MUGA)’, International Journal of Electrical Power & Energy Systems, 2016, 80, pp. 333-346

      [15] Gozde, H., Taplamacioglu, M.C.: ‘Automatic generation control application with craziness based particle swarm optimization in a thermal power system’, Int J Electr Power Energy Syst, 2011, 33, (1), pp. 8–16

      [16] Dhillon, S. S., Lather, J.S., Marwaha, S.: ‘Multi objective load frequency control using hybrid bacterial foraging and particle swarm optimized PI controller’, International Journal of Electrical Power & Energy Systems, 2016, 79, pp. 196-209

      [17] Naidu, K., Mokhlis, H., Bakar, ‘Multi-objective optimization using weighted sum Artificial Bee Colony algorithm for Load Frequency Control’, International Journal of Electrical Power & Energy Systems, 2014, 55, pp. 657-667

      [18] Pradhan, P. C., Sahu, R. K., Panda, S.: ‘Firefly algorithm optimized fuzzy PID controller for AGC of multi-area multi-source power systems with UPFC and SMES’, Engineering Science and Technology, an International Journal, 2016, 19, (1), pp. 338-354

      [19] Bayraktar, Z., Komurcu, M., Jeremy A. Bossard, Douglas H. Werner: ‘The Wind Driven Optimization Technique and its Application in Electromagnetics’, IEEE Transactions on Antennas and Propagation, 2013, 61, (5), pp. 2745-2757.

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    Gaur, P., Bhowmik, D., & Soren, N. (2018). Impact Assessment of Vehicle-to Grid in Frequency Control of Multi-area Hybrid System. International Journal of Engineering & Technology, 7(4.41), 120-125. https://doi.org/10.14419/ijet.v7i4.41.24508