Model Predictive Based Load Frequency Control of Interconnected Power Systems

Title:Model Predictive Based Load Frequency Control of Interconnected Power Systems

Volume: 11 Issue: 3

Author(s): Amita Singh, Veena Sharma*, Preeti Dahiya and Ram N. Sharma

Affiliation:

• Electrical Engineering Department, National Institute of Technology, Hamirpur, Himachal Pradesh (H.P.), 177005,India

Keywords: Automatic generation control, genetic algorithm, model predictive control, proportional integral derivative controller, integrative derivative, fequency.

Abstract: Background: To achieve the goal of automatic generation control of better system frequency regulation and to control the tie-line active power deviations, this paper presents a genetic algorithm optimized model predictive control (GA-MPC) scheme for load frequency regulation of two area interconnected power systems.

Methods: Three different power systems: thermal-thermal system, thermal-nuclear system and thermalgas system, interconnected by tie-lines, have been considered to assess the performance of the proposed control scheme (GA-MPC). Inorder to evaluate the effectiveness of the proposed controller, a comparitive analysis is performed between the controller scheme, auto-tuned PID controller and autotuned MPC, in terms of performance indices namely: overshoot/undershoot and settling time of the transient response of the test systems. Sensitivity analysis has also been performed to test the efficacy and robustness of GA-MPC, MPC and PID controllers, when subjected to variations in loading conditions, tie-line synchronizing coefficient and turbine time constant. Also, dynamic response of the thermal-thermal system with GA based MPC controller is studied and analysed in the presence of nonlinear constraints namely: generation rate constraint (GRC) and governor deadband.

Results: The simulation results establish the superiority of GA based MPC over auto-tuned MPC and auto-tuned PID controllers, in maintaining the output power generation and minimization of the area control error. The sensitivity analysis shows that the proposed scheme is robust and insensitive to the variations in load disturbances and system parameters. Also, the considered control scheme is able to effectively handle the system non-linearities.

Conclusion: The presented method is quite effective in controlling the system frequency and tie-line power flow in the presence of system non-linearities and sudden disturbances.

Cite this article as:

Singh Amita , Sharma Veena *, Dahiya Preeti and Sharma N. Ram , Model Predictive Based Load Frequency Control of Interconnected Power Systems, Recent Advances in Electrical & Electronic Engineering 2018; 11 (3) . https://dx.doi.org/10.2174/2352096511666180117152541

DOI https://dx.doi.org/10.2174/2352096511666180117152541	Print ISSN 2352-0965
Publisher Name Bentham Science Publisher	Online ISSN 2352-0973