An Advanced LMI-Based-LQR Design for Load Frequency Control of an Autonomous Hybrid Generation System

• Type: Article in International Conference Proceedings Book
• Date: 2013

Authors

Pandey, SK (Author) Other; Mohanty, SR (Author) Other; Kishor, N (Author) Other; Catalao, JPS (Author) Other

Conference proceedings International

Title: TECHNOLOGICAL INNOVATION FOR THE INTERNET OF THINGS

Pages: 371-381

4th IFIP WG 5.5/SOCOLNET Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2013

Costa de Caparica, PORTUGAL, APR 15-17, 2013

Indexing

ISI Web of Knowledge - 9 Citations

Scopus - 13 Citations

Other information

Authenticus ID: P-00A-CQS

DOI: 10.1007/978-3-642-37291-9_40

Abstract (EN): This paper proposes a load frequency control scheme for an autonomous hybrid generation system consisting of wind turbine generator (WTG), diesel engine generator (DEG), fuel cell (FC), aquaelectrolyzer (AE) and battery energy storage system (BESS). In wind power generation systems, operating conditions are changing continually due to wind speed and load changes, having an effect on system frequency. Therefore, a robust controller is required for load frequency control. The control scheme is based on Linear Matrix Inequality (LMI)-Linear Quadratic Regulator (LQR). The control optimization problem is obtained in terms of a system of LMI constraints and matrix equations that are simultaneously solved. The proposed load frequency control scheme with the advanced LMI-based-LQR (ALQR) design is applied for the autonomous hybrid generation system. The effectiveness and robustness of the proposed controller is demonstrated for different load and wind power perturbations. The results suggest superior performance of the proposed ALQR controller against an optimal output state feedback controller. The integrated control could be realized though the web by applying Internet of Things technologies within the future smart grid.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 11