The PI Controllers and its optimal tuning for Load Frequency Control (LFC) of Hybrid Hydro-thermal Power Systems

The maintenance and controlling of certain parameters of large-scale hydrothermal power plant is of great challenge. In this paper, certain characteristics of the hydrothermal power plant are controlled using Proportional-Integral-Derivative (PID) controller. The PID controller is used to get the desired response of such power plant. The parameters of PID controllers are tuned to the optimum values using various available optimization methods such as Particle Swarm Optimization (PSO), Genetic Algorithm (GA) and Fire-Fly algorithm (FFA). All these algorithms evaluate controller parameter using different cost function such as Integral Time multiplied by Square Error (ITSE) and Integral-Time Absolute Error (ITAE). The hydrothermal power plant under consideration is implemented in MATLAB and simulation is carried out to get the optimum values of controller parameters. This paper also presents a comparative analysis of effect of different optimization algorithm under different cost function in the context of the power plant.

[1]  J. Nanda,et al.  Automatic generation control of hydro-thermal system considering generation rate constraint , 1983 .

[2]  Lawrence. Davis,et al.  Handbook Of Genetic Algorithms , 1990 .

[3]  Toshiaki Murata,et al.  Application of self-tuning FPIC to AGC for load frequency control in multi-area power system , 2009, 2009 IEEE Bucharest PowerTech.

[4]  Juan Federico Villa Sierra,et al.  Angle controlled power plants for PMU based AGC. A new AGC thecnology, based on the äV and äQ controlled nodes concept and PMU triggered load shedding , 2014, 2014 IEEE PES T&D Conference and Exposition.

[5]  Dusmanta Kumar Mohanta,et al.  Co-Optimal Placement of PMUs and Their Communication Infrastructure for Minimization of Propagation Delay in the WAMS , 2018, IEEE Transactions on Industrial Informatics.

[6]  J. Nanda,et al.  Automatic generation control of an interconnected hydrothermal system in continuous and discrete modes considering generation rate constraints , 1983 .

[7]  Ieee Report,et al.  Dynamic Models for Steam and Hydro Turbines in Power System Studies , 1973 .

[8]  Rajendra Kumar Khadanga,et al.  Hybrid adaptive ‘gbest’-guided gravitational search and pattern search algorithm for automatic generation control of multi-area power system , 2017 .

[9]  Riccardo Poli,et al.  Particle swarm optimization , 1995, Swarm Intelligence.

[10]  B. L. Kaul,et al.  Automatic generation control of an interconnected power system , 1978 .

[11]  Deepak Kumar Gupta,et al.  Automatic Generation Control for Hybrid Hydro-Thermal System using Soft Computing Techniques , 2018, 2018 5th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON).

[12]  A.A.F.M. Carneiro,et al.  Fuzzy logic applied to operation rules for large hydrothermal power systems , 1998, POWERCON '98. 1998 International Conference on Power System Technology. Proceedings (Cat. No.98EX151).