Measurement‐based wide‐area damping of inter‐area oscillations based on MIMO identification

This paper presents an online protective scheme of estimating critical inter‐area angle for controlling the inter‐area oscillations based on evaluating the rate of changes of rotor angle oscillations as an adaptive tripping index (ATI)‐based protective zone. For this purpose, by using wide area measuring system technology, oscillatory signals Δδ and Δω are measured which based on correlation coefficients criteria, coherent groups are identified which based on evaluating oscillating areas, inter‐area signals ΔδCOI‐AB and ΔωCOI‐AB are provided. In the case of evaluating an inter‐area oscillation, the proposed ATI scheme is activated which the first zero crossing point (ZCP0) of δCOI‐AB is determined as the critical criteria for estimating unstable situation. The proposed ATI approach consists of two adaptive protective zones ATI1 and ATI2 to estimate inter‐area oscillatory and inter‐area transient instabilities, respectively. The proposed ATI is an online and non‐model‐based scheme which evaluates the system dynamic stability through two straight and sinusoidal‐based adaptive zones. The effectiveness of the proposed ATI approach is evaluated on three different test systems IEEE 39‐bus, modified IEEE 39‐bus with converter‐based low inertia sources and a practical Iran nation power grid with presenting positive effects of damping inter‐area oscillations through different operational and topological conditions.

Section: Literature Reviewmentioning

confidence: 99%

Adaptive criteria of estimating power system separation times based on inter‐area signal

Ranjbar

2023

“…Assuming that the signals (y, c i and d i ) are discretized at t = t 0 , … , t N −1 , the objective function in (6) is rewritten in the discrete form as…”

Section: Acmd-based Parameter Identificationmentioning

confidence: 99%

“…Both characteristics appear always in pairs [5], which is a great threat to the safety and stable operation of the wind power system. Hence, parameter identification of SubSO/SupSO signals, that is, frequency, amplitude, and damping, is very important to mitigate SubSO/SupSO, to some extent [6].…”

Section: Introductionmentioning

confidence: 99%

Application of adaptive chirp mode decomposition on parameter identification of sub/super‐synchronous oscillation signals

Yang

Mei

et al. 2021

Identifying the parameters of sub/super‐synchronous oscillation (SubSO/SupSO) signals is challenging, because (1) the mode numbers of the oscillation signals are unknown, and (2) the oscillation signals are non‐stationary and noisy. The non‐stationary components need to be accurately identified in order to efficiently suppress SubSO/SupSO. Here, an adaptive chirp mode decomposition (ACMD) method joining a synchroextracting transform (SET) is exploited. First, for detecting the initial instantaneous frequencies (IFs) of SubSO and SupSO, SET is employed to provide time–frequency representations with satisfied energy concentration to ACMD. Second, ACMD is applied to decomposing the main components from the oscillation signal without needing to use the mode numbers, and directly compute the final IFs and instantaneous amplitudes (IAs) for SubSO and SupSO without Hilbert transform. And third, the damping factors of the SubSO and SupSO are further identified with the IAs. The proposed method is evaluated over synthetic signals, simulation data, and real field data from a wind system. Experimental results demonstrate that, compared with the classical signal decomposition‐based identification methods, the proposed method more accurately detects frequencies, amplitudes, and damping factors of SubSO and SupSO components for non‐stationary and noisy signals.

“…On this subject, in order to stabilize the power oscillations, coordinated damping controllers are utilized for FACTS equipment, wind turbines, PVs, and also PSSs installed on synchronous generators (SGs) [5,6]. This coordination can be fulfilled by measuring wide-area signals through phasor measurement units (PMUs) [7,8]. However, sending of data using wide-area measuring system (WAMS) to the input of controllers is encountered with constant and time-varying delays.…”

Section: Introductionmentioning

confidence: 99%

A UPFC‐based robust damping controller for optimal use of renewable energy sources in modern renewable integrated power systems

Bagheri

Behzadpoor

2022

This paper proposes coordinated design of wide‐area damping controller (WADC) in the presence of renewable energy resources in a large‐scale power system. To tackle with constant and time‐varying delays in wide‐area system, a robust criterion based on H∞ has been used for the coordinated WADC design. By using an auxiliary function in Lyapunov function, conservatism of linear inequality matrix (LMI) is reduced, such that larger delay margin and larger feasibility region is obtained in the presence of delays. The wind farms here are composed of doubly‐fed induction generator (DFIG) and squirrel‐cage induction generator (SCIG), which are connected to common bus of photovoltaic (PV) system by using unified power flow controller (UPFC). Then, the renewable energy units are integrated with 10 and 16‐machine power systems. Afterwards, by identifying oscillating modes, the coordinated design of WADC is carried out for rotor‐side‐converter (RSC) in DFIG, DC/AC converter in the PV units, shunt converter (SHC) in UPFC, and power system stabilizer (PSS). Different scenarios of power system operating conditions are considered to evaluate performance of the proposed approach. The simulations in power system analysis toolbox (PSAT) and programming in MATLAB demonstrate effectiveness of the conducted method.