scholarly journals Initial results in Prony analysis of power system response signals

1990 ◽  
Vol 5 (1) ◽  
pp. 80-89 ◽  
Author(s):  
J.F. Hauer ◽  
C.J. Demeure ◽  
L.L. Scharf
Keyword(s):  
Power System ◽  
System Response ◽  
Initial Results ◽  
Prony Analysis

MAPE - An Alternative Fitness Metric for Prony Analysis of Power System Signals

2018 ◽  
Vol 19 (6) ◽  
Author(s):  
Krishna Rao ◽  
K.N Shubhanga
Keyword(s):  
Power System ◽  
New England ◽  
Case Studies ◽  
Processing Time ◽  
Signal To Noise Ratio ◽  
Estimation Error ◽  
Percentage Error ◽  
System Response ◽  
Minimum Number ◽  
Prony Analysis

Abstract Phasor Measurement Units have facilitated tracking of oscillations in power system response signals. This has provided an impetus for identifying unstable component modes directly from oscillatory signals. Prony analysis, the earliest method proposed for this purpose, throws up some trivial modes. These not only distract the analyzer but also prolong processing time thereby delaying corrective action. Hence the fitness metric chosen should serve to minimize the number of trivial modes. The conventional fitness metric is Signal-to-Noise Ratio (SNR), which is actually Signal-to- Estimation error Ratio (SER). This paper proposes that Mean Absolute Percentage Error (MAPE) can also serve well as a fitness metric. It is shown through case studies carried out on well-known four-machine power system that there are a few cases where MAPE performs better than SER while in some instances SER works better. This inference is verified even in the presence of measurement noise. Hence a novel fitness metric is proposed combining MAPE with SER. Case studies on simulated signals obtained from New England-power system prove that this novel metric can achieve considerable reduction in processing time. Besides, an exponential binary search has been suggested for determining the optimal model order in minimum number of iterations.

scholarly journals Controlled Impedance-Admittance-Torque Nonlinear Modeling and Analysis of Modern Power Systems

Energies ◽  
2020 ◽  
Vol 13 (10) ◽  
pp. 2461
Author(s):  
Panos C. Papageorgiou ◽  
Antonio T. Alexandridis
Keyword(s):  
Power Systems ◽  
Power System ◽  
System Analysis ◽  
Power Converter ◽  
Lyapunov Methods ◽  
Duty Ratio ◽  
System Response ◽  
Power Electronic ◽  
Dynamic Representation ◽  
Dynamic Description

Modern power systems are continuously transformed into decentralized ones where distributed generation (DG) plays a key role. Almost all the different distributed energy resources (DERs) are connected in geographically dispersed places through controlled power electronic interfaces in a manner that essentially affects the dynamic performance and control of the whole power system. Simultaneously, rotating machines in power production or absorption, dominate the system response and stability. In this new frame, this paper proposes a novel generalized dynamic representation and full scale modeling of a modern power system based on the well-known impedance-admittance (IA) network model for the electricity grid, substantially extended to include in detail both the power converter devices by considering the controlled power electronic dynamics and the electrical machines by inserting their full electromechanical dynamics. This formulation results in a holistic nonlinear dynamic description, defined here as controlled impedance-admittance-torque (CIAT) model of the whole system which features common structural characteristics. The model is deployed in state space, involves all the controlled inputs in DG, namely the duty-ratio signals of each power converter interface, all the other external inputs affecting the system, namely all the known or unknown voltage, current, and torque inputs. As shown in the paper, the proposed CIAT model retains its fundamental properties for any DG and network topology, standard or varying. This enables the compression of the accurate analytic power system dynamic description into a matrix-based generic nonlinear model that can be easily used for analysis studies of such large-scale systems. Taking into account the nonlinear nature of the CIAT matrix-based model and the persistent action of the external inputs, Lyapunov methods deployed on recently established input to state stability (ISS) notions are systematically applied for the system analysis. Hence, the traditionally used small-signal model-based analysis that suffers from the intermittent and continuously changing operation of DERs is completely substituted by the proposed formulation. A modern power system example with different DERs involved is analyzed by this way and is extensively simulated to verify the validity of the proposed method.

The change of power system response after successive faults

2014 ◽  
Author(s):  
Jarno Lamponen ◽  
Liisa Haarla ◽  
Emil Hillberg ◽  
Ritva Hirvonen
Keyword(s):  
Power System ◽  
System Response

scholarly journals Power Swing Mode Detection from Power System Measured Data Based on Prony Analysis

2000 ◽  
Vol 120 (2) ◽  
pp. 141-147 ◽  
Author(s):  
Masahiko Amano ◽  
Masahiro Sekoguchi ◽  
Katsuyoshi Neri ◽  
Ken'ichi Kawata
Keyword(s):  
Power System ◽  
Measured Data ◽  
Power Swing ◽  
Mode Detection ◽  
Prony Analysis
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