Mohammed, E., Elgaafary, A., Diab, A. (2022). Optimized Load Frequency Control for Single Area Power System Using Linear Quadratic Gaussian Technique and Coefficient Diagram Method. Journal of Advanced Engineering Trends, 42(1), 215-231. doi: 10.21608/jaet.2021.81971.1114
Eslam Mohammed; Ahmed Elgaafary; Ahmed Diab. "Optimized Load Frequency Control for Single Area Power System Using Linear Quadratic Gaussian Technique and Coefficient Diagram Method". Journal of Advanced Engineering Trends, 42, 1, 2022, 215-231. doi: 10.21608/jaet.2021.81971.1114
Mohammed, E., Elgaafary, A., Diab, A. (2022). 'Optimized Load Frequency Control for Single Area Power System Using Linear Quadratic Gaussian Technique and Coefficient Diagram Method', Journal of Advanced Engineering Trends, 42(1), pp. 215-231. doi: 10.21608/jaet.2021.81971.1114
Mohammed, E., Elgaafary, A., Diab, A. Optimized Load Frequency Control for Single Area Power System Using Linear Quadratic Gaussian Technique and Coefficient Diagram Method. Journal of Advanced Engineering Trends, 2022; 42(1): 215-231. doi: 10.21608/jaet.2021.81971.1114
Optimized Load Frequency Control for Single Area Power System Using Linear Quadratic Gaussian Technique and Coefficient Diagram Method
Electrical Engineering Department, Faculty of Engineering, Minia University, Egypt
Abstract
The aim of load frequency control (LFC) is to save the frequency at the allowable limits in different zones of power system operation. The advanced control system has a lot of advantages over conventional integral controllers in practical applications. In this paper, LFC for a single area system using a Linear Quadratic Gaussian Method (LQG) and a coefficient diagram method (CDM) has been developed. Furthermore, an improved technique based on Multi-Verse Optimizer (MVO) is applied for optimal adjustment for the LQG controller. In order to control the turbine load output, the governors’ parameters must be adjusted to reduce the error rate and increase confidence in the proposed system. The CDM system has been studied in theory for its own transactions and data, in order to take advantage of the governor and turbine model for its response and high efficiency. The division of the frequency value and all system transactions are identified using the Kalman filter where they are controllers in the LQG module, this provides an ideal income signal for the system. The strength and effectiveness of the model give an initial impression of the extent of taking advantage of a practical system, so digital simulation must be used for access to the target. The behavior of non-confidence in the performance of the system has been addressed, and this has enhanced the results of simulation for a comprehensive and integrated performance with (CDM + LQG). The control process was evaluated by a comparison between the proposed scheme and only CDM.
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