WAMS based identification for obtaining linear models to coordinate controllable devices
2012 (English)In: Electrical engineering (Berlin. Print), ISSN 0948-7921, E-ISSN 1432-0487, Vol. 94, no 1, 27-36 p.Article in journal (Refereed) Published
This paper is concerned with the use of subspace system identification techniques to derive a low-order black-box state-space model of a power system with many controllable devices. This is a multi-input multi-output open system model describing the power oscillatory behavior of the power system. The input signals are the controllable set points of the controllable devices, the output signals are the speed of some generators measured by a wide-area measurement system. This paper describes how to achieve and pre-process the data to use the subspace method to estimate and validate to finally assign an accurate model. This new approach can be used directly for the design of a centrally coordinated controller coordinating all the relevant controllable devices, with the aim to increase the damping of the modes in the system. Previously presented models, using input signals from controllable devices, use local measurements or output signals dependent on the actual operational point. The benefit of the presented method is that the used output signals are independent of the system state. This makes it possible to use a state-feedback controller, i.e., coordinated control. The presented method is applied in the CigrÃ© Nordic 32-bus system including two high-voltage direct current (HVDC) links. The case study demonstrates that accurate low-order state-space models can be estimated and validated using the described method to accurately model the system's power oscillatory behavior.
Place, publisher, year, edition, pages
2012. Vol. 94, no 1, 27-36 p.
FACTS devices, HVDC, Inter-area oscillations, Modal analysis, N4SID, Nordic 32-bus system, PMU, Small signal analysis, Subspace system identification, WAMS, Wide-area measurement system
Other Electrical Engineering, Electronic Engineering, Information Engineering
IdentifiersURN: urn:nbn:se:kth:diva-52328DOI: 10.1007/s00202-011-0201-yISI: 000300579400004ScopusID: 2-s2.0-84857627441OAI: oai:DiVA.org:kth-52328DiVA: diva2:466287
Correspondence Address: Eriksson, R.; Electric Power Systems, Royal Institute of Technology, Stockholm, Sweden; email: email@example.com. QC 201204022011-12-152011-12-152013-04-16Bibliographically approved