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Chattering analysis for discrete sliding mode control ofdistributed control systems 被引量:4
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作者 litong ren shousheng xie +2 位作者 yu zhang jingbo peng ledi zhang 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2016年第5期1096-1107,共12页
The chattering characteristic of sliding mode control isanalyzed when it is applied in distributed control systems (DCSs).For a DCS with random time delay and packet dropout, a discreteswitching system model with ti... The chattering characteristic of sliding mode control isanalyzed when it is applied in distributed control systems (DCSs).For a DCS with random time delay and packet dropout, a discreteswitching system model with time varying sampling period isconstructed based on the time delay system method. The reachinglaw based sliding mode controller is applied in the proposedsystem. The exponential stability condition in the form of linearmatrix inequality is figured out based on the multi-Lyaponov functionmethod. Then, the chattering characteristic is analyzed for theswitching system, and a chattering region related with time varyingsampling period and external disturbance is proposed. Finally, numericalexamples are given to illustrate the validity of the analysisresult. 展开更多
关键词 distributed control system sliding mode control switching system chattering analysis.
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Identification of the Worst-case Static Voltage Stability Margin Interval of AC/DC Power System Considering Uncertainty of Renewables
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作者 Wanbin Liu Shunjiang Lin +2 位作者 Yuerong Yang Mingbo Liu Qifeng Li 《CSEE Journal of Power and Energy Systems》 SCIE EI CSCD 2024年第3期974-987,共14页
Calculation of static voltage stability margin(SVSM)of AC/DC power systems with lots of renewable energy sources(RESs)integration requires consideration of uncertain load growth and renewable energy generation output.... Calculation of static voltage stability margin(SVSM)of AC/DC power systems with lots of renewable energy sources(RESs)integration requires consideration of uncertain load growth and renewable energy generation output.This paper presents a bi-level optimal power flow(BLOPF)model to identify the worst-case SVSM of an AC/DC power system with line commutation converter-based HVDC and multi-terminal voltage sourced converter-based HVDC transmission lines.Constraints of uncertain load growth’s hypercone model and control mode switching of DC converter stations are considered in the BLOPF model.Moreover,uncertain RES output fluctuations are described as intervals,and two three-level optimal power flow(TLOPF)models are established to identify interval bounds of the system worst-case SVSM.The two TLOPF models are both transformed into max–min bi-level optimization models according to independent characteristics of different uncertain variables.Then,transforming the inner level model into its dual form,max–min BLOPF models are simplified to single-level optimization models for direct solution.Calculation results on the modified IEEE-39 bus AC/DC case and an actual large-scale AC/DC case in China indicate correctness and efficiency of the proposed identification method. 展开更多
关键词 AC/DC power system control mode switching convex relaxation dual programming multi-level optimization optimal power flow static voltage stability margin
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