Controller design with model identification approach in wide area power system
- Author(s): Nand Kishor 1 ; Liisa Haarla 1 ; Jukka Turunen 2 ; Mats Larsson 3 ; Soumya R. Mohanty 4
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View affiliations
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Affiliations:
1:
Department of Electrical Engineering, Aalto University, Espoo, Finland;
2: Statnett, Oslo, Norway;
3: Corporate Research, ABB Switzerland Ltd., Baden, Switzerland;
4: Department of Electrical Engineering, Motilal Nehru National Institute of Technology, Allahabad, India
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Affiliations:
1:
Department of Electrical Engineering, Aalto University, Espoo, Finland;
- Source:
Volume 8, Issue 8,
August 2014,
p.
1430 – 1443
DOI: 10.1049/iet-gtd.2013.0167 , Print ISSN 1751-8687, Online ISSN 1751-8695
Using wide area monitoring systems (WAMS) offers a possibility for an integrated measurement-based and model-based control, which suits to the operation of large electric power system (EPS), along with online analysis. This study presents studies on fixed-order controller design through model identification approach with use of synchronous measurement data. Firstly, in the study, the coherent generator in each area of large EPS is determined by the mutual information theory. Then, state-space two-input two-output model is identified for the generator that has highest participation factor and thus referred as coherent generator. The model identification algorithms; least-square, instrumental variable and subspace state-space based generalised Poisson moment function are used. Next, WAMS level model is identified between the input controllable variable and speed deviation difference of coherent generator of each area. Finally, a local controller (decentralised) in each coherent area and a centralised controller at WAMS level between two coherent areas are designed by optimisation of the several design functions; H∞ norm, H 2 norm, spectral abscissa and complex stability radius, as much as possible. These controllers feed supplementary control signal in addition to one fed by local conventionally tuned power system stabiliser. The centralised controller at WAMS level is demonstrated to stabilise the speed deviations of each generator between any two areas in the large EPS. The study is investigated with different input signal variables; ΔV ref, ΔPm excited by different pattern of disturbances.
Inspec keywords: power system control; stochastic processes; H2 control; power system stability; state-space methods; H∞ control; control system synthesis; power system identification; power system measurement
Other keywords: feed supplementary control signal; input controllable variable; integrated measurement-based control; large electric power system; speed deviation difference; wide area monitoring systems; H∞ norm; instrumental variable; wide area power system; model identification approach; mutual information theory; model-based control; complex stability radius; coherent generator; local conventionally tuned power system stabiliser; H2 norm; synchronous measurement data; BPS; subspace state-space based generalised Poisson moment function; participation factor; local controller; least-square; spectral abscissa; centralised controller; state-space two-input two-output model; WAMS level model; fixed-order controller design
Subjects: Optimal control; Simulation, modelling and identification; Control system analysis and synthesis methods; Power system control; Control of electric power systems; Other topics in statistics; Power system measurement and metering; Other topics in statistics
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