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Journal ArticleDOI

Propinquity of voltage collapse prediction for power system using indices

25 Aug 2019-International journal of ambient energy (Informa UK Limited)-pp 1-11
TL;DR: In this paper, a continuous assessment of voltage stability is vivacious in safeguarding the electrical power system (EPS) operation and the final outcome of voltage instability is proximity to voltage collapse.
Abstract: Continuous assessment of voltage stability is vivacious in safeguarding the electrical power system (EPS) operation. The final outcome of voltage instability is proximity to voltage collapse. The c...
Citations
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Proceedings ArticleDOI
25 Nov 2022
TL;DR: In this paper , the authors used a linear artificial neural network (LANN) to calculate the voltage stability margin (VSM) of a power system in real-time, which is one of the most important parameters for ensuring the power system reliability.
Abstract: In power system operation and planning, determining steady state voltage stability is critical. Voltage stability margin (VSM) is one of the most important parameters for ensuring the power system's reliability in real time. The system's maximum loading capacity is indicated by VSM i.e, a further rise in load causes the system voltage to collapse, which makes the system unstable. Thus, the assessment of the VSM in real time is essential and requires greater significance. Reinforcement learning methods have recently attracted a lot of attention for calculating the VSM. The Continuous Power Flow approach has been used in this paper to analyse the power system's voltage stability with Linear Artificial Neural Network. The analysis was carried out in the IEEE 14, IEEE 30, IEEE 118 and Indian utility 62 bus system, using the aid of MATLAB's PSAT software. In many instances, the outcome of the linear ANN model satisfies the desired model with the highest level of accuracy.
Proceedings ArticleDOI
25 Nov 2022
TL;DR: In this article , the authors used a linear artificial neural network (LANN) to calculate the voltage stability margin (VSM) of a power system in real-time, which is one of the most important parameters for ensuring the power system reliability.
Abstract: In power system operation and planning, determining steady state voltage stability is critical. Voltage stability margin (VSM) is one of the most important parameters for ensuring the power system's reliability in real time. The system's maximum loading capacity is indicated by VSM i.e, a further rise in load causes the system voltage to collapse, which makes the system unstable. Thus, the assessment of the VSM in real time is essential and requires greater significance. Reinforcement learning methods have recently attracted a lot of attention for calculating the VSM. The Continuous Power Flow approach has been used in this paper to analyse the power system's voltage stability with Linear Artificial Neural Network. The analysis was carried out in the IEEE 14, IEEE 30, IEEE 118 and Indian utility 62 bus system, using the aid of MATLAB's PSAT software. In many instances, the outcome of the linear ANN model satisfies the desired model with the highest level of accuracy.
References
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Journal ArticleDOI
TL;DR: In this paper, the authors present a method of finding a continuum of power flow solutions starting at some base load and leading to the steady-state voltage stability limit (critical point) of the system.
Abstract: The authors present a method of finding a continuum of power flow solutions starting at some base load and leading to the steady-state voltage stability limit (critical point) of the system. A salient feature of the so-called continuation power flow is that it remains well-conditioned at and around the critical point. As a consequence, divergence due to ill-conditioning is not encountered at the critical point, even when single-precision computation is used. Intermediate results of the process are used to develop a voltage stability index and identify areas of the system most prone to voltage collapse. Examples are given where the voltage stability of a system is analyzed using several different scenarios of load increase. >

1,666 citations

Journal ArticleDOI
TL;DR: In this article, the authors present the major conclusions drawn from the presentations and ensuing discussions during the all day session, focusing on the root causes of grid blackouts, together with recommendations based on lessons learned.
Abstract: On August 14, 2003, a cascading outage of transmission and generation facilities in the North American Eastern Interconnection resulted in a blackout of most of New York state as well as parts of Pennsylvania, Ohio, Michigan, and Ontario, Canada. On September 23, 2003, nearly four million customers lost power in eastern Denmark and southern Sweden following a cascading outage that struck Scandinavia. Days later, a cascading outage between Italy and the rest of central Europe left most of Italy in darkness on September 28. These major blackouts are among the worst power system failures in the last few decades. The Power System Stability and Power System Stability Controls Subcommittees of the IEEE PES Power System Dynamic Performance Committee sponsored an all day panel session with experts from around the world. The experts described their recent work on the investigation of grid blackouts. The session offered a unique forum for discussion of possible root causes and necessary steps to reduce the risk of blackouts. This white paper presents the major conclusions drawn from the presentations and ensuing discussions during the all day session, focusing on the root causes of grid blackouts. This paper presents general conclusions drawn by this Committee together with recommendations based on lessons learned.

1,220 citations

Journal ArticleDOI
B. Gao1, G.K. Morison1, P. Kundur1
TL;DR: In this paper, the voltage stability analysis of large power systems by using a modal analysis technique is discussed, using a steady-state system model, a specified number of the smallest eigenvalues and the associated eigenvectors of a reduced Jacobian matrix.
Abstract: The authors discuss the voltage stability analysis of large power systems by using a modal analysis technique. The method computes, using a steady-state system model, a specified number of the smallest eigenvalues and the associated eigenvectors of a reduced Jacobian matrix. The eigenvalues, each of which is associated with a mode of voltage/reactive power variation, provide a relative measure of proximity to voltage instability. The eigenvectors are used to describe the mode shape and to provide information about the network elements and generators which participate in each mode. A simultaneous iteration method, which is well suited to applications involving large power systems, is used for selective calculation of appropriate eigenvalues. Results obtained using a 3700 bus test system are presented illustrating the applicability of the approach. >

1,002 citations

Journal ArticleDOI
TL;DR: In this article, a fast method to calculate the minimum singular value and the corresponding (left and right) singular vectors is presented, which only requires information available from an ordinary program for power flow calculations.
Abstract: The minimum singular value of the power flow Jacobian matrix has been used as a static voltage stability index, indicating the distance between the studied operating point and the steady-state voltage stability limit. A fast method to calculate the minimum singular value and the corresponding (left and right) singular vectors is presented. The main advantages of the algorithm are the small amount of computation time needed, and that it only requires information available from an ordinary program for power flow calculations. The proposed method fully utilizes the sparsity of the power flow Jacobian matrix and the memory requirements for the computation are low. These advantages are preserved when applied to various submatrices of the Jacobian matrix. The algorithm was applied to small test systems and to a large system with over 1000 nodes, with satisfactory results. >

446 citations

Journal ArticleDOI
TL;DR: In this paper, the authors examine some of the more recent major blackouts and discuss the root causes and dynamics of these events, identifying high-level conclusions and recommendations for improving system dynamic performance and reducing the risk of such catastrophic events.
Abstract: This paper examines some of the more recent major blackouts and discusses some of the root causes and dynamics of these events. The paper aims to identify high-level conclusions and recommendations for improving system dynamic performance and reducing the risk of such catastrophic events

434 citations