Enhancement of power system stability using wide area measurement system based damping controller

作者: Abdulaziz Almutairi

DOI:

关键词: Control theoryControl theoryPhasorControllabilityLinear-quadratic-Gaussian controlControl systemControl engineeringPhasor measurement unitElectric power systemObservabilityEngineering

摘要: Contemporary power networks are gradually expanding incorporating new sources of electrical energy and electronic based devices. The major stability issue in large interconnected systems is the lightly damped interarea oscillations. In light growth their incidents there increased concerns about effectiveness current control devices maintaining system stability. This thesis presents a Wide Area Measurement System (WAMS) scheme to enhance stability. has hierarchical (two-level) structure comprising Supplementary Wide-Area Controller (SWAC) built on top existing Power Stabilisers (PSSs). SWAC?s focus stabilising critical oscillations while leaving local modes be controlled entirely by PSSs. Both two levels work together maintain relies synchronised measurements supplied Phasor Units (PMUs) through WAMS only cost requirement for communication infrastructure which already available, or it will near future. A novel linear quadratic Gaussian (LQG) design approach targets directly introduced this thesis. Its features demonstrated comparison with conventional method commonly used damping applications. modal LQG offers simplicity flexibility when targeting multiple without affecting controllers, thus making highly suitable schemes. Applicability using different scenarios model order reduction. incorporates time delays experienced transmission input/output signals. Issues regarding values required level detail modelling thoroughly discussed. Three methods selection signals controllers presented reviewed. first uses observability/controllability factors. second Sequential Orthogonalisation (SO) algorithm, tool optimal placement measurement application extended generalised handle problem signal selection. third combines clustering techniques factor analysis. advanced Principal Component Analysis (PCA) where its draw backs limitations, context dynamics? applications, overcome. compared both small transient analysis determine best set signals. Enhancement applying proposed New England test system. multi-input multi-output (MIMO) controller reduced designed approach. Effectiveness comprehensively assessed case studies including disturbances, changes network topology operating condition, variations delays, failure links.

参考文章(1)
B. Chaudhuri, R. Majumder, B.C. Pal, Application of multiple-model adaptive control strategy for robust damping of interarea oscillations in power system IEEE Transactions on Control Systems and Technology. ,vol. 12, pp. 727- 736 ,(2004) , 10.1109/TCST.2004.833409