Wind generator stability enhancement by using an adaptive artificial neural network-controlled superconducting magnetic energy storage
MetadataShow full item record
This paper presents a novel adaptive artificial neural network (ANN)-controlled superconducting magnetic energy storage (SMES) to enhance the transient stability of a grid-connected wind generator system. The control strategy of the SMES unit is developed based on cascaded control scheme of a voltage source converter and a two-quadrant DC-DC chopper using insulated gate bipolar transistors (IGBTs). The proposed controller is used to control the duty cycle of the DC-DC chopper. Detailed modeling and control strategies of the system are presented. The effectiveness of the proposed adaptive ANN-controlled SMES is then compared with that of a conventional proportional-integral (PI)-controlled SMES. The validity of the proposed system is verified with the simulation results which are performed using the standard dynamic power system simulator PSCAD/EMTDC.
Showing items related by title, author, creator and subject.
Yunus, A. M. Shiddiq (2012)Due to the rising demand of energy over several decades, conventional energy resources have been continuously and drastically explored all around the world. As a result, global warming is inevitable due to the massive ...
Transient stability enhancement of wind farms connected to a multi-machine power system by using an adaptive ANN-controlled SMESMuyeen, S.M.; Hasanien, H.; Al-Durra, A. (2014)This paper presents a novel adaptive artificial neural network (ANN)-controlled superconducting magnetic energy storage (SMES) system to enhance the transient stability of wind farms connected to a multi-machine power ...
Smoothing control of wind generator output fluctuations by PWM voltage source converter and chopper controlled SMESSheikh, M.; Muyeen, S.M.; Takahashi, R.; Tamura, J. (2011)Since the mechanical power extracted from wind is proportional to the cube of the wind speed, the output of the wind turbine generator system fluctuates considerably due to wind speed variations. Therefore, high penetration ...