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Load frequency control in deregulated power system with wind integrated system using fuzzy controller

Frontiers in Energy 2013年第2期7卷 245-254页

作者： Yajvender Pal VERMA Ashwani KUMAR Department of Electrical & Electronics Engineering UIET PanjabUniversity Chandigarh 160014 India Department of Electrical Engineering National Institute of TechnologyKurukshetra Haryana 132119 India

This paper presents the analysis of load frequency control （LFC） of a deregulated two-area hydro-thermal power system using fuzzy logic controller, with doubly fed induction generators （DFIGs） integrated into both the control areas. The deregulation of power sector has led to the formation of new companies for generation, transmission and distribution of power. The conventional two-area power system is modified to study the effects of the bilateral contracts of companies on the system dynamics. Deregulation creates highly competitive and distributed control environment, and the LFC becomes even more challenging when wind generators are also integrated into the system. The overall inertia of the system reduces, as the wind unit does not provide inertia and isolates from the grid during disturbances. The DFIGs integrated provide inertial support to the system through modified inertial control scheme, and arrests the initial fall in frequency after disturbance. The inertial control responds to frequency deviations, which takes out the kinetic energy of the wind turbine for improving the frequency response of the system. To enhance the participation of the doubly fed induction generator （DFIG） in the frequency control, optimal values of the speed control parameters of the DFIG-based wind turbine have been obtained using integral square error （ISE） technique. The dynamics of the system have been obtained for a small load perturbation, and for contract violation using fuzzy controller.

关键词： frequency regulation fuzzy controller deregulated power system doubly fed induction generator（DFIG） bilateral contract

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Hybrid Neuro Fuzzy Controller for Automatic Generation Control of Multi Area deregulated power system

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Circuits and systems 2016年第4期7卷 292-306页

作者： Baghya Shree Solaiappan Nagappan Kamaraj Department of Electrical and Electronics Engineering Anna University-University College of Engineering Dindigul India Department of Electrical and Electronics Engineering Thiagarajar College of Engineering Madurai India

This paper is intended in investigating the Automatic Generation Control (AGC) problem of a deregulated power system using Adaptive Neuro Fuzzy controller. Here, three area control structure of Hydro-Thermal generation has been considered for different contracted scenarios under diverse operating conditions with non-linearities such as Generation Rate Constraint (GRC) and Backlash. In each control area, the effects of the feasible contracts are treated as a set of new input signals in a modified traditional dynamical model. The key benefit of this strategy is its high insensitivity to large load changes and disturbances in the presence of plant parameter discrepancy and system nonlinearities. This newly developed scheme leads to a flexible controller with a simple structure that is easy to realize and consequently it can be constructive for the real world power system. The results of the proposed controller are evaluated with the Hybrid Particle Swarm Optimisation (HCPSO), Real Coded Genetic Algorithm (RCGA) and Artificial Neural Network (ANN) controllers to illustrate its robustness.

关键词： AGC ANFIS ANN deregulated power system HCPSO RCGA

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