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Operation of Multi DC Smart Grids Based on Renewable Energy Sources and Protection of DC Transmission Line
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Thabit S. Nassor
Veröffentlicht/Copyright:
11. August 2012
Abstract
This paper presents the operation under fault and protection of multi DC smart grids connected to the DC transmission line. The smart grid consists of wind turbine and photovoltaic generators, controllable loads, generator side and grid side inverters. The voltage stability of the DC bus voltage is attained by applying the power consumption control of controllable loads, the power control of grid connected converter and power control of renewable plants. On the other hand, the fault protection for short-circuit and low resistance ground fault at the DC transmission line was sighted. Simulation results based on PSIM are provided to demonstrate the effectiveness of the system.
Published Online: 2012-8-11
©2012 Walter de Gruyter GmbH & Co. KG, Berlin/Boston
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Schlagwörter für diesen Artikel
DC smart grid;
MPPT;
DC bus voltage;
metallic ground fault;
distance protection
Artikel in diesem Heft
- Article
- ANN - SQP Approach For NOx Emission Reduction In Coal Fired Boilers
- Comparison of Levenberg-Marquardt Method and Path Following Interior Point Method for the Solution of Optimal Power Flow Problem
- A Transient Stability Constrained, Line-Flow-Based Fast Contingency Screening and Power Flow Evaluation
- Study of Transformer Switching Overvoltages during Power System Restoration Using Delta-Bar-Delta and Directed Random Search Algorithms
- Economic Justification for a V2G Facility in a Radial Distribution Network
- Operation of Multi DC Smart Grids Based on Renewable Energy Sources and Protection of DC Transmission Line
- Novel Real-Time Stability Assessment Algorithm Based on Synchro-Phasors Measurement and Parallel Algorithms for Multi-Machine Networks.
- Integrated Kalman-Independent Component Analysis Method for Harmonic Current Estimation on an Interconnected Four Bus Simulated and Laboratory Model
- Identification of Fault Location in Distribution Networks Using Multi Class Support Vector Machines
