Stability and nonlinear controller analysis of wind energy conversion system with random wind speed |
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| Affiliation: | 1. Department of Electrical Engineering, Shanghai Jiao Tong University, PR China;2. Department of Electrical Engineering, MUET, Jamshoro, Khairpur Mir''s Campus, Sindh, Pakistan;1. Changsha University of Science & Technology, China;2. Central South University, China;3. Center for Intelligent Electricity Networks, The University of Newcastle, Australia;1. School of Mathematics and Statistics, Wuhan University, Wuhan 430072, China;2. School of Mathematical Sciences, Fudan University, KLMNS, Shanghai 200433, China;1. School of Information Science and Engineering, Central South University, Changsha, China;2. School of Automation, Beijing Institute of Technology, Beijing, China;3. Guangdong Power Grid Corp, Zhuhai Power Supply Bur, Zhuhai, China;4. School of Electrical Engineering and Computing, University of Newcastle, Callaghan, Australia;5. Department of Control and Robotics Engineering, Kunsan National University, Kunsan, Republic of Korea |
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| Abstract: | In the recent years, globally wind energy has played a vital role in renewable sources in order to minimize the environmental consequence on power generation, As a result of this, computer models of wind turbines for power system stability studies have been developed and supplied to the consumer. Therefore, the development of such models is of particular consequence for stability of power system, which has been studied and can be structured and integrated into network simulation software are needed. However, in this contribution a nonlinear control design modeling is required to stabilize and analyze wind energy conversion system (WECS) by regulating the electrical frequency and stator voltage amplitude of the squirrel-cage induction generator (SCIG) at random wind speed approach is presented. A design scheme consists of dynamic wind turbine system and 3-phase SCIG unit. In this research study, we employ a unique technique based on feedback linearization technique through field oriented control concepts. The controllers were designed in simulated software Matlab in order to regulate the SCIG constraints. The validation of the developing system models will be appropriate to provide for large system stability and control. |
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| Keywords: | Nonlinear system Random wind speed Transient stability Uncertainty |
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