Performance enhancement in AGC of multi-area power system with WOA optimized fo-2dof controller and facts controllers

  • Authors

    • Prakash Chandra Sahu
    • Ramesh Chandra Prusty
    2018-06-08
    https://doi.org/10.14419/ijet.v7i2.33.14835
  • Automatic Generation Control (AGC), Fractional Order Two Degree of Freedom (FO-2DOF)), Interline Power Flow Controller (IPFC), Whale Optimization Algorithm (WOA), Flexible AC Transmission System (FACTS).
  • This research article aims to develop Load Frequency Control (LFC) of equal three area with individual area comprises single thermal sys-tem and wind system and appropriated 3% of Generation rate constraint (GRC) is considered for thermal system to make non-linearity to overall system. For automatic generation control (AGC) the proposed secondary controller is a two degree of freedom (DOF) based frac-tional order Proportional, Integral, Derivative (PID) controller and used to reduce error for this study. For optimizing the gains of this pro-posed controller in a suitable manner a newly deterministic algorithm called Whale Optimization algorithm (WOA) is applied. Comparative performance analysis of different controllers like FO-2DOF-PID, 2DOF-PID, and PID is done in respect of settling time and peak over-shoot. Apart from this to improve quality of different dynamic responses some FACTS devices like Interlined power flow controller(IPFC), Static synchronous series compensator (SSSC) and Thyristor controlled series capacitor (TCSC) are implemented with FO-2DOF-PID controller and for superiority analysis a comparison is made between above optimized controllers.

     

     

  • References

    1. [1] Hota PK & Mohanty B (2016), Automatic generation control of multi-source power generation under deregulated environment. International Journal of Electrical Power & Energy Systems 75, 205-214

      [2] Khuntia SR & Panda S (2012), Simulation study for automatic generation control of a multi-area power system by ANFIS approach. Applied Soft Computing 12, 333-341

      [3] Sahu RK, Panda S & Padhan S (2015), a hybrid firefly algorithm and pattern search technique for automatic generation control of multi area power systems. International Journal of Electrical Power & Energy Systems 64, 9-23

      [4] Arya Y & Kumar N (2016), AGC of a multi-area multi-source hydrothermal power system interconnected via AC/DC parallel links under deregulated environment. International Journal of Electrical Power & Energy Systems 75, 127-138

      [5] Dash P, Saikia LC & Sinha N (2016), Flower pollination algorithm optimized PI-PD cascade controller in automatic generation control of a multi-area power system. International Journal of Electrical Power & Energy Systems 82, 19-28.

      [6] Elgerd OI & Fosha CE (1970), Optimum megawatt frequency control of multi-area electric energy system,†IEEE Transactions on power apparatus and system 89, 556-563.

      [7] Jagatheesan K, Anand B, Samanta S, Dey N, Ashour AS & Balas VE (2017) “Design of a proportional-integral-derivative controller for an automatic generation control of multi-area power thermal systems using firefly algorithm, “ IEEE/CAA Journal of Automatica Sinica.

      [8] Ghoshal SP (2004), Optimizations of PID gains by particle swarm optimizations in fuzzy based automatic generation control. Electric Power Systems Research 72(3) 203-212.

      [9] Taguchi H & M. Araki, Two-degree-of-freedom PID controllers their functions and optimal tuning. IFAC Proceedings, 33(4) 91-96.

      [10] Morsali J, Zare K & Hagh MT (2016), Performance comparison of TCSC with TCPS and SSSC controllers in AGC of realistic interconnected multi-source power system. Ain Shams Engineering Journal 7(1), 143-158.

      [11] Jain V, Saini D, Babu KD & Saini JS , An Intelligent GA-Optimized Fuzzy Controller for Automatic Generation Control for a Two-Area Interconnected System. In Proceeding of International Conference on Intelligent Communication, Control and Devices 715-722

      [12] Prasad B Prasad CD & Kumar GP (2015), Effect of Load Parameters Variation on AGC of Two Area Thermal Power System In the Presence of Integral and PSO-PID Controllers. I-Manager’s Journal on Instrumentation & Control Engineering 3(2).

      [13] Nasiruddin I, Bhatti TS & Hakimuddin N (2015), Automatic generation control in an interconnected power system incorporating diverse source power plants using bacteria foraging optimization technique. Electric Power Components and Systems 43(2), 189-199.

      [14] Mirjalili S & Lewis A (2016), the whale optimization algorithm. Advances in Engineering Software 95, 51-67.

      [15] Patel VJ & Bhatt CB (2012), Simulation and analysis for real and reactive power control with series type facts controller. International Journal of Emerging Technology and Advanced Engineering 2(3), 7-12.

      [16] Chidambaram IA & Paramasivam B (2013) Optimized load-frequency simulation in restructured power system with redox flow batteries and interline power flow controller. International Journal of Electrical Power & Energy Systems 50, 9-24.

  • Downloads

  • How to Cite

    Chandra Sahu, P., & Chandra Prusty, R. (2018). Performance enhancement in AGC of multi-area power system with WOA optimized fo-2dof controller and facts controllers. International Journal of Engineering & Technology, 7(2.33), 562-567. https://doi.org/10.14419/ijet.v7i2.33.14835