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Research On Controlling Of Wind Power System With Advanced Control Methods

Posted on:2014-01-14Degree:MasterType:Thesis
Country:ChinaCandidate:W C LiuFull Text:PDF
GTID:2232330395998666Subject:Control theory and control engineering
Abstract/Summary:PDF Full Text Request
The energy problem has become the focus of the world, with the over-exploitation of oil, coal and other non-renewable energy; humans will face serious energy problems in the coming decades. At the same time, the use of oil, coal and other energy is usually accompanied by serious environmental pollution problems, environmental protection has become a pressing issue in recent years, large and medium-sized urban air pollution is serious, fog and haze increased. Therefore, to explore clean, renewable energy is a very important and meaningful topic.The wind can make use of the most widely used and more mature one of the clean energy. Wind energy not only has the characteristics of zero pollution, while allowing long-term economic benefits. The wind turbine is a mechanical, electrical and hydraulic servo mechanism posed by the machine, electricity, fluid integration of complex dynamic systems with non-linear, strong coupling characteristics; random wind loads, wind turbine at the same time showed random mixed characteristics. Therefore, how to effectively control the wind power system is a valuable research direction.At first, we proposed that using ADRC for controlling of the pitch system. Secondly, we try to control the power system with SMC method. At the end of this paper, we proposed that using mixed logical dynamic (MLD) modeling method, make WECS system maintaining stop in the cut-on, cut-out situation, optimization power capture when partial load, and full load condition of variable pitch and variable speed constant frequency power and torque control all condition mixed logical dynamic system modeling; By using multi-parameter predictive controller (MPT) to realize the predictive control of the whole condition.
Keywords/Search Tags:WECS, ADRC, SMC, MLD, MPC, Hybrid Optimization Method, MIQP
PDF Full Text Request
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