Discrete Centralized AGC Using LQR-Based Cost Functional Minimization for Multi-Area Interconnected Power Systems
- Resource Type
- Periodical
- Authors
- Esmail, M.; Krishnamurthy, S.
- Source
- IEEE Access Access, IEEE. 12:20426-20440 2024
- Subject
- Aerospace
Bioengineering
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Engineered Materials, Dielectrics and Plasmas
Engineering Profession
Fields, Waves and Electromagnetics
General Topics for Engineers
Geoscience
Nuclear Engineering
Photonics and Electrooptics
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Transportation
Automatic generation control
Power systems
Wind turbines
Power system stability
Costs
Optimal control
Control systems
Interconnected systems
functional minimization method
interconnected power systems
optimal LQR control
weighting matrices
- Language
- ISSN
- 2169-3536
This paper proposes the design of Discrete Centralized Optimal Quadratic Automatic Generation Control (COQAGC) based on the functional minimization method (FMM) and optimal control theory for interconnected power systems. The cost function and FMM design requirements are defined in terms of area control errors, integral area control errors, and control signals. FMM is an optimal method, an easy and systematic approach for constructing and selecting state and control weighting matrices. The performance of COQAGC on discrete two-area interconnected power systems with identical _non-reheat thermal turbines has been studied using 1% and 5% step load perturbations (SLPs) and sensitivity analysis. The study has been extended to investigate the performance of COQAGC on discrete multi-area multi-source interconnected power systems with wind turbines. The simulation results revealed that developed COQAGC-based FMM improves the power system dynamics in terms of the steady-state performance and robustness against SLPs and parameter variations in comparison with controllers from the literature. The developed method can be extended and implemented on large complex multi-area power systems.