scholarly journals Voltage Stability Analysis and Online Monitoring Method Based on Fixed-Point Principle and Spectrum Calculation

2019 ◽  
Author(s):  
Fan Li ◽  
Fang-zong Wang ◽  
Xue-tao Yang ◽  
Dun-wen Song
Keyword(s):  
Fixed Point ◽  
Stability Analysis ◽  
Voltage Stability ◽  
Online Monitoring ◽  
Monitoring Method ◽  
Spectrum Calculation ◽  
Fixed Point Principle

scholarly journals DNN-Based Distributed Voltage Stability Online Monitoring Method for Large-Scale Power Grids

2021 ◽  
Vol 9 ◽  
Author(s):  
Shuaihu Li ◽  
Jie Hou ◽  
Anbang Yang ◽  
Jie Li
Keyword(s):  
Large Scale ◽  
Voltage Stability ◽  
Online Monitoring ◽  
Power Grids ◽  
State Variables ◽  
Load Impedance ◽  
Monitoring Method ◽  
Local Index ◽  
Power Load ◽  
Bus System

With the increase of power load demand and the complexity of power grid structure, the problem of voltage stability is becoming more serious, and it is urgent to study the countermeasures. In this paper, a DNN-based distributed voltage stability online monitoring method for large-scale power grids is proposed. Unlike the traditional load margin methods, the proposed method uses a local index load impedance modulus margin (LIMM) index to determine the optimal installation locations of PMUs, which is more efficiently. Moreover, the DNN is applied to learn the nonlinear relationship between the power system operation state and its corresponding LIMM. By this way, the corresponding LIMM value can be predicted through the state variables of nodes from the installed PMUs. This method can greatly improve the calculation speed of LIMM and assess the system voltage stability level in real-time, which help the system operator to judge the operating state and take measures in time. Finally, the proposed method is tested on the 14-bus system and then on the 118-bus system respectively, and the simulation results verify the effectiveness and correctness of the proposed method.

Voltage Stability Analysis of Radial Distribution Systems with Realistic Loads

2009 ◽  
Vol 3 (1) ◽  
pp. 11-19
Author(s):  
P.V. Prasad ◽  
◽  
S. Sivanagaraju ◽  
B. Usha ◽  
◽  
...  
Keyword(s):  
Stability Analysis ◽  
Radial Distribution ◽  
Distribution Systems ◽  
Voltage Stability

Global attracting sets of neutral stochastic functional integro-differential equations driven by a fractional Brownian motion

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
A. Bakka ◽  
S. Hajji ◽  
D. Kiouach
Keyword(s):  
Hilbert Space ◽  
Fixed Point ◽  
Brownian Motion ◽  
Differential Equations ◽  
Fractional Brownian Motion ◽  
Sufficient Conditions ◽  
Integrodifferential Equations ◽  
Hurst Parameter ◽  
Fixed Point Principle ◽  
Stochastic Functional

Abstract By means of the Banach fixed point principle, we establish some sufficient conditions ensuring the existence of the global attracting sets of neutral stochastic functional integrodifferential equations with finite delay driven by a fractional Brownian motion (fBm) with Hurst parameter H ∈ ( 1 2 , 1 ) {H\in(\frac{1}{2},1)} in a Hilbert space.

scholarly journals Identification of Efficient Sampling Techniques for Probabilistic Voltage Stability Analysis of Renewable-Rich Power Systems

Energies ◽  
2021 ◽  
Vol 14 (8) ◽  
pp. 2328
Author(s):  
Mohammed Alzubaidi ◽  
Kazi N. Hasan ◽  
Lasantha Meegahapola ◽  
Mir Toufikur Rahman
Keyword(s):  
Monte Carlo ◽  
Stability Analysis ◽  
Power Systems ◽  
Large Scale ◽  
Voltage Stability ◽  
Sampling Technique ◽  
Coefficient Of Determination ◽  
Sampling Techniques ◽  
Quasi Monte Carlo ◽  
Efficient Sampling

This paper presents a comparative analysis of six sampling techniques to identify an efficient and accurate sampling technique to be applied to probabilistic voltage stability assessment in large-scale power systems. In this study, six different sampling techniques are investigated and compared to each other in terms of their accuracy and efficiency, including Monte Carlo (MC), three versions of Quasi-Monte Carlo (QMC), i.e., Sobol, Halton, and Latin Hypercube, Markov Chain MC (MCMC), and importance sampling (IS) technique, to evaluate their suitability for application with probabilistic voltage stability analysis in large-scale uncertain power systems. The coefficient of determination (R2) and root mean square error (RMSE) are calculated to measure the accuracy and the efficiency of the sampling techniques compared to each other. All the six sampling techniques provide more than 99% accuracy by producing a large number of wind speed random samples (8760 samples). In terms of efficiency, on the other hand, the three versions of QMC are the most efficient sampling techniques, providing more than 96% accuracy with only a small number of generated samples (150 samples) compared to other techniques.

Voltage stability analysis in radial smart distribution grids

2017 ◽  
Vol 11 (15) ◽  
pp. 3722-3730 ◽  
Author(s):  
Soheil Derafshi Beigvand ◽  
Hamdi Abdi ◽  
Sri Niwas Singh
Keyword(s):  
Stability Analysis ◽  
Voltage Stability ◽  
Distribution Grids
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