The Stability Analysis of DC Micro-Grid System with PV Array

2018 ◽  
Author(s):  
Jakkrit Pakdeeto ◽  
Kongpan Areerak ◽  
Kongpol Areerak
Keyword(s):  
Stability Analysis ◽  
Grid System ◽  
Pv Array ◽  
Micro Grid ◽  
The Stability

scholarly journals A Study on an Out-of-Step Detection Algorithm Using the Time Variation of Complex Power: Part I, Mathematical Modeling

Energies ◽  
2020 ◽  
Vol 13 (16) ◽  
pp. 4065
Author(s):  
You-Jin Lee ◽  
Jeong-Yong Heo ◽  
O-Sang Kwon ◽  
Chul-Hwan Kim
Keyword(s):  
Transmission Lines ◽  
Smart Grids ◽  
Detection Algorithm ◽  
Grid System ◽  
Step Detection ◽  
Power Swing ◽  
Complex Power ◽  
Power Part ◽  
Micro Grid ◽  
The Stability

Power quality and stability have become the most important issues in power system operations, Micro Grids, and Smart Grids. Sensitive equipment can be seriously damaged when exposed to unstable power swing conditions. An unstable system may cause serious damage to Micro Grid System elements such as generators, transformers, transmission lines, and so forth. Therefore, out-of-step detection is essential for the safe operation of a Micro Grid system. In general, Equal Area Criterion (EAC) is a method for evaluating the stability of Smart Grid systems. However, EAC can be performed only if it is possible to analyze the active power and generator angle. This paper presents an analysis of the trajectory of complex power using a mathematical model. The variation of complex power is analyzed using a mathematical method, and then the relationship between complex power and EAC is presented, and a simulation performed. Later, in part II, a novel out-of-step detection algorithm based on part I will be presented and tested.

Micro-Grid System Based on Compressed Air Energy Storage

2014 ◽  
Vol 945-949 ◽  
pp. 2841-2845
Author(s):  
Yu Jie Liu ◽  
Wei Hua Li ◽  
Xiang Hua Luo ◽  
Cheng Su ◽  
Shi Xue Ding ◽  
...  
Keyword(s):  
Energy Storage ◽  
Storage System ◽  
Wind Farms ◽  
Energy Storage System ◽  
Compressed Air ◽  
Grid System ◽  
Compressed Air Energy Storage ◽  
Power Fluctuation ◽  
Micro Grid ◽  
The Stability

With the development of the power system, wind energy was applied to micro-grid system as a distributed generation. The output of the wind farms has the characteristic of intermittence and fluctuation, which would influent the stability of micro-grid system and can be solved effectively by compressed air energy storage system, a new energy storage technology. Because of the advantage of fast response, high economic performance and small environmental impacts, it has an extensive application prospect. This paper builds a micro-grid system with wind power generator, and control the output of micro-grid system by using compressed air energy storage system. The simulation result verifies that the compressed-air energy storage system can effectively suppress power fluctuation and improving the stability of the micro-grid system.

Techno-Economic Case Study of Micro-Grid System at Soccer Club of Skagerak Arena Norway

2020 ◽  
Author(s):  
Arvind Sharma ◽  
Mohan Kolhe ◽  
Stein Oluf Kristiansen ◽  
Stig Simonsen ◽  
Henrik Landsverk ◽  
...  
Keyword(s):  
Grid System ◽  
Micro Grid

Stability Analysis of the Nanjung Water Diversion Twin Tunnels based on Convergence Measurement

2019 ◽  
Vol 1 (1) ◽  
pp. 49-60
Author(s):  
Simon Heru Prassetyo ◽  
Ganda Marihot Simangunsong ◽  
Ridho Kresna Wattimena ◽  
Made Astawa Rai ◽  
Irwandy Arif ◽  
...  
Keyword(s):  
Stability Analysis ◽  
Convergence Rate ◽  
Critical Strain ◽  
Convergence Rates ◽  
Strain Analysis ◽  
Water Diversion ◽  
Tunnel Face ◽  
Tunnel Stability ◽  
The Stability ◽  
Twin Tunnels

This paper focuses on the stability analysis of the Nanjung Water Diversion Twin Tunnels using convergence measurement. The Nanjung Tunnel is horseshoe-shaped in cross-section, 10.2 m x 9.2 m in dimension, and 230 m in length. The location of the tunnel is in Curug Jompong, Margaasih Subdistrict, Bandung. Convergence monitoring was done for 144 days between February 18 and July 11, 2019. The results of the convergence measurement were recorded and plotted into the curves of convergence vs. day and convergence vs. distance from tunnel face. From these plots, the continuity of the convergence and the convergence rate in the tunnel roof and wall were then analyzed. The convergence rates from each tunnel were also compared to empirical values to determine the level of tunnel stability. In general, the trend of convergence rate shows that the Nanjung Tunnel is stable without any indication of instability. Although there was a spike in the convergence rate at several STA in the measured span, that spike was not replicated by the convergence rate in the other measured spans and it was not continuous. The stability of the Nanjung Tunnel is also confirmed from the critical strain analysis, in which most of the STA measured have strain magnitudes located below the critical strain line and are less than 1%.

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