Impact of intermittency towards microgrid protection & reliability considering grid codes

2018 ◽  
Author(s):  
Kheng Heong Oon ◽  
ChiaKwang Tan ◽  
A.H.A. Bakar ◽  
J.Y.R. Wong
Keyword(s):  
Grid Codes

scholarly journals Wind Farms and Grid Codes

10.5772/14873 ◽  
2011 ◽  
Author(s):  
Mara Paz ◽  
Miguel Garca-Gracia ◽  
Susana Martn ◽  
Miguel ngel Martnez Guill
Keyword(s):  
Wind Farms ◽  
Grid Codes

scholarly journals Study of DOUBLY-FED Induction Generator For Variable Speed Wind Energy Conversion Systems

2012 ◽  
pp. 273-277
Author(s):  
Manasi Pattnaik
Keyword(s):  
Wind Energy ◽  
Wind Turbines ◽  
Doubly Fed Induction Generator ◽  
Variable Speed ◽  
Wind Energy Conversion ◽  
Wind Energy Conversion Systems ◽  
Energy Conversion Systems ◽  
Evolution Of Technology ◽  
Grid Codes ◽  
Doubly Fed

In recent years, wind energy has become one of the most important and promising sources of renewable energy, which demands additional transmission capacity and better means of maintaining system reliability. The evolution of technology related to wind systems industry leaded to the development of a generation of variable speed wind turbines that present many advantages compared to the fixed speed wind turbines. For example, grid codes are being revised to ensure that wind turbines would contribute to the control of voltage and frequency and also to stay connected to the host network following a disturbance. In response to the new grid code requirements, several DFIG models have been suggested recently. This paper deals with the introduction of DFIG and AC/DC/AC converter control

scholarly journals A Grid-Based Approach for Measuring Similarities of Taxi Trajectories

Sensors ◽  
2020 ◽  
Vol 20 (11) ◽  
pp. 3118
Author(s):  
Wei Jiao ◽  
Hongchao Fan ◽  
Terje Midtbø
Keyword(s):  
Spatial Data ◽  
Behavior Pattern ◽  
Spatial Data Mining ◽  
Spatial Data Analysis ◽  
Exact Matching ◽  
The Road ◽  
Data Volume ◽  
Grid Codes ◽  
Position Prediction ◽  
Pass Through

Similarity measurement is one of the key tasks in spatial data analysis. It has a great impact on applications i.e., position prediction, mining and analysis of social behavior pattern. Existing methods mainly focus on the exact matching of polylines which result in the trajectories. However, for the applications like travel/drive behavior analysis, even for objects passing by the same route the trajectories are not the same due to the accuracy of positioning and the fact that objects may move on different lanes of the road. Further, in most cases of spatial data mining, locations and sometimes sequences of locations on trajectories are most important, while how objects move from location to location (the exact geometries of trajectories) is of less interest. For the abovementioned situations, the existing approaches cannot work anymore. In this paper, we propose a grid aware approach to convert trajectories into sequences of codes, so that shape details of trajectories are neglected while emphasizing locations where trajectories pass through. Experiments with Shanghai Float Car Data (FCD) show that the proposed method can calculate trajectories with high similarity if these pass through the same locations. In addition, the proposed methods are very efficient since the data volume is considerably reduced when trajectories are converted into grid-codes.

scholarly journals Collision Detection for UAVs Based on GeoSOT-3D Grids

2019 ◽  
Vol 8 (7) ◽  
pp. 299 ◽  
Author(s):  
Weixin Zhai ◽  
Xiaochong Tong ◽  
Shuangxi Miao ◽  
Chengqi Cheng ◽  
Fuhu Ren
Keyword(s):  
Traffic Safety ◽  
Collision Detection ◽  
Detection Model ◽  
High Speeds ◽  
Collision Problem ◽  
Proposed Model ◽  
Primary Key ◽  
Grid Codes ◽  
Spatial Entities ◽  
Traditional Approaches

The increasing number of unmanned aerial vehicles (UAVs) has led to challenges related to solving the collision problem to ensure air traffic safety. The traditional approaches employed for collision detection suffer from two main drawbacks: first, the computational burden of a pairwise calculation increases exponentially with an increasing number of spatial entities; second, existing grid-based approaches are unsuitable for complicated scenarios with a large number of objects moving at high speeds. In the proposed model, we first identified UAVs and other spatial objects with GeoSOT-3D grids. Second, the nonrelational spatial database was initialized with a multitable strategy, and spatiotemporal data were inserted with the GeoSOT-3D grid codes as the primary key. Third, the collision detection procedure was transformed from a pairwise calculation to a multilevel query. Four simulation experiments were conducted to verify the feasibility and efficiency of the proposed collision detection model for UAVs in different environments. The results also indicated that 64 m GeoSOT-3D grids are the most suitable basic grid size, and the reduction in the time consumption compared with traditional methods reached approximately 50–80% in different scenarios.

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