Automatic Generation Control by Hybrid Invasive Weed Optimization and Pattern Search Tuned 2-DOF PID Controller

  • Neelamegam Manoharan Department of Electrical Engineering, Sathyabama University, Chennai, India
  • Subhransu Sekhar Dash Department of Electrical Engineering, SRM University, Chennai, India
  • Kurup Sathy Rajesh Department of Electrical Engineering, SRM University, Chennai, India
  • Sidhartha Panda Department of Electrical Engineering, VSSUT, Burla-768018, Odisha, India

Abstract

A hybrid invasive weed optimization and pattern search (hIWO-PS) technique is proposed in this paper to design 2 degree of freedom proportionalintegral- derivative (2-DOF-PID) controllers for automatic generation control (AGC) of interconnected power systems. Firstly, the proposed approach is tested in an interconnected two-area thermal power system and the advantage of the proposed approach has been established by comparing the results with recently published methods like conventional Ziegler Nichols (ZN), differential evolution (DE), bacteria foraging optimization algorithm (BFOA), genetic algorithm (GA), particle swarm optimization (PSO), hybrid BFOA-PSO, hybrid PSO-PS and non-dominated shorting GA-II (NSGA-II) based controllers for the identical interconnected power system. Further, sensitivity investigation is executed to demonstrate the robustness of the proposed approach by changing the parameters of the system, operating loading conditions, locations as well as size of the disturbance. Additionally, the methodology is applied to a three area hydro thermal interconnected system with appropriate generation rate constraints (GRC). The superiority of the presented methodology is demonstrated by presenting comparative results of adaptive neuro fuzzy inference system (ANFIS), hybrid hBFOA-PSO as well as hybrid hPSO-PS based controllers for the identical system.

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Published
2017-06-29
How to Cite
MANOHARAN, Neelamegam et al. Automatic Generation Control by Hybrid Invasive Weed Optimization and Pattern Search Tuned 2-DOF PID Controller. INTERNATIONAL JOURNAL OF COMPUTERS COMMUNICATIONS & CONTROL, [S.l.], v. 12, n. 4, p. 533-549, june 2017. ISSN 1841-9844. Available at: <http://univagora.ro/jour/index.php/ijccc/article/view/2751>. Date accessed: 04 july 2020. doi: https://doi.org/10.15837/ijccc.2017.4.2751.

Keywords

Automatic generation control, interconnected power system, governor, dead - band non linearity, 2 degree of freedom PID controller, invasive weed optimization, pattern search