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Research On Prevention Of Active Power Oscillations Of Hydroelectric Generating Power Frequency Control

Posted on:2015-03-31Degree:MasterType:Thesis
Country:ChinaCandidate:D L GaoFull Text:PDF
GTID:2272330434457709Subject:Control theory and control engineering
Abstract/Summary:PDF Full Text Request
With the continuous economic development and social progress, the stability of thepower system is becoming increasingly important. As one of the threats to the safeoperation of the grid, LFO is always likely to occur. The active power frequencyoscillation is one of the factors that lead to the power system oscillations. For theunit-side power oscillations, Yunnan Power Grid has implemented a set of low frequencyoscillation splitting real-time monitoring and protection devices, but the study on the sideof the unit for power oscillation prevention belong to the blank.In this paper, Yunnan hydropower units is chosen for the study, relying ontechnology projects of Yunnan Power Grid Company–“Yunnan fire and water turbinepower oscillation prevention and lifting research”, about some head large seasonalvariations, guide vane serious issues such as nonlinear studies. Firstly, the relationbetween working head with turbine and the active is derived based on the similarity inthe turbine theory and theoretical analysis of movement similar rate. Simulation resultsshow head movements to control the quality of regulation of the turbine group active by introducing head of changes into the ideal turbine model. Secondly, the conclusion thatnonlinear leads to the poor of quality of water turbine active power regulation is verifiedby introducing nonlinear function into the ideal model. Finally, control scheme isimproved for a serious problem for the turbine group in engineering applications andtheoretical research. The head adaptive control scheme and adaptive control strategyguide vane are proposed and its rationality is verified by Modeling and Simulation. Thesingle neuron adaptive PID control algorithm is proposed in the theoretical study level.The feasibility that turbine group active oscillation adjustment process is prevented bysingle neuron adaptive PID by comparing with the classical PID.It can effectively eliminate the threats, which is caused by seasonal changes in headand nonlinearity on the turbine guide vane group, to quality of active power regulationthrough this project. Finally, the stability of Yunnan hydropower plant operation andYunnan power grid is guaranteed.
Keywords/Search Tags:hydropower units, power oscillation, oscillation prevention, adaptive control, single neuron PID
PDF Full Text Request
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