System identification techniques for obtaining linear models of large power systems with controllable devices from noisy measurements

• This paper deals with the use of system identification techniques for estimating low-order black-box state-space models formodal analysis. It presents a method to estimate state-space models for large power systems with many controllable devices from noisy measurements. To excite the system low-energy pulses generated by the controllable devices are used. The input signals are the controllable set-points of the devices, the output signals are the speed signals of some generators obtained from Phasor Measurement Units (PMU). The Subspace State-Space System Identification (N4SID) and Prediction Error Method (PEM) are compared in sense of robustness using measurement with different signal to noise ratios noisy measurements. The method is applied in an extended version of the Cigré Nordic 32-bus test system. This model approach can be used directly for the design of a centralized controller coordinating the controllable devices with the aim to increase the damping in the system.

Ämnesord

TEKNIK OCH TEKNOLOGIER  -- Elektroteknik och elektronik -- Annan elektroteknik och elektronik (hsv//swe)

ENGINEERING AND TECHNOLOGY  -- Electrical Engineering, Electronic Engineering, Information Engineering -- Other Electrical Engineering, Electronic Engineering, Information Engineering (hsv//eng)

Nyckelord

Black boxes

Extended versions

Input signal

Large power systems

Linear model

Low energies

Model approach

Noisy measurements

Output signal

Phasor measurement unit

Prediction error method

Setpoints

Speed signal

State space systems

State-space models

System identification techniques

Test systems

Error analysis

Signal to noise ratio

Stress analysis

System theory

Units of measurement

Identification (control systems)

Electric power engineering

Elkraftteknik

Publikations- och innehållstyp

vet (ämneskategori)

kon (ämneskategori)