Output Power Leveling of Wind Farm Using Pitch-angle Control with Fuzzy Neural Network
Authors:
- 15 September 2008
- journal article
- research article
- Published by Taylor & Francis in Electric Power Components and Systems
- Vol. 36 (10) , 1048-1066
Abstract
There are concerns in regards to wind power generation as its output constantly, as well as considerably, varies. This article presents a control strategy for wind farms consisting of a wind turbine with variable pitch. In order to reduce output power fluctuation of wind farms, smoothed wind-farm output power command is determined by wind condition and fuzzy neural network. In addition, individual wind turbine generators are controlled by output power command derived from wind-farm output power command and coordination control for each wind turbine generator. Simulation results using an actual detailed model for wind-farm systems show the effectiveness of the proposed method.Keywords
This publication has 9 references indexed in Scilit:
- Output Power Leveling of Wind Turbine Generator for All Operating Regions by Pitch Angle ControlIEEE Transactions on Energy Conversion, 2006
- Centralised power control of wind farm with doubly fed induction generatorsRenewable Energy, 2006
- Optimum Generation Control in Wind Parks When Carrying Out System Operator RequestsIEEE Transactions on Power Systems, 2006
- Output Levelling of Renewable Energy by Electric Double-Layer Capacitor Applied for Energy Storage SystemIEEE Transactions on Energy Conversion, 2006
- Automatic generation control of a wind farm with variable speed wind turbinesIEEE Transactions on Energy Conversion, 2002
- Pitch-controlled variable-speed wind turbine generationIEEE Transactions on Industry Applications, 2001
- Generalized Predictive Control—Part II Extensions and interpretationsAutomatica, 1987
- Generalized predictive control—Part I. The basic algorithmAutomatica, 1987
- Self-tuning control of nonminimum-phase systemsAutomatica, 1984