LQR and Fuzzy Logic Control for the Three-Area Power System
Open Access
Abstract
The three-area power system is widely considered a suitable example to test load frequency control of the distributed generation system. In this article, for such a system, for the power stabilization task, we introduce two controllers: Linear Quadratic Regulator (LQR), which is model-based, and Fuzzy Logic Controller (FLC), which is data-based. The purpose is to compare the two approaches from the point of view of (i) ease of implementation and tuning, and (ii) robustness to changes in the model. The model, together with controls strategies, has been implemented in the MATLAB software. Then, it has been tested for different simulation scenarios, taking into account the disturbances and faulty tie-lines between areas. Various quality measures allow to compare the performance of each control strategy. The comparison in terms of parameter change and load disturbances prompt us to propose suitable metrics and advice notes on the application of each controller.Keywords
Funding Information
- National Agency of Academic Exchange (NAWA), "Polish Returns" (PPN/PPO/2018/1/00063/U/00001)
This publication has 57 references indexed in Scilit:
- Load Frequency Control of a Multi-Area Power System: An Adaptive Fuzzy Logic ApproachIEEE Transactions on Power Systems, 2014
- Tuning Rules Selection and Iterative Modification of PID Control System Parameters2014
- DE optimized parallel 2-DOF PID controller for load frequency control of power system with governor dead-band nonlinearityInternational Journal of Electrical Power & Energy Systems, 2013
- Recurrent fuzzy neural network by using feedback error learning approaches for LFC in interconnected power systemEnergy Conversion and Management, 2009
- A new robust PID load frequency controllerControl Engineering Practice, 2008
- Decentralized adaptive backstepping control of electric power systemsElectric Power Systems Research, 2008
- Adaptive decentralized load frequency control of multi-area power systemsInternational Journal of Electrical Power & Energy Systems, 2005
- Tuning fuzzy logic controllers by genetic algorithmsInternational Journal of Approximate Reasoning, 1995
- Discrete-time variable structure control systemsIEEE Transactions on Industrial Electronics, 1995
- A load frequency control algorithm based on a generalized approachIEEE Transactions on Power Systems, 1988