JOURNAL ARTICLE

Reliability study of distribution grids containing distributed photovoltaic power sources

Abstract

The distribution network is more important of the electric system that is directly connected to users, so whether the distribution network can operate stably is a very noteworthy issue. With the maturation of new energy generation grid connection technology, distributed power sources represented by photovoltaic installation are increasingly widely used in power systems. On the one hand, when a difficult occurs the distribution network system, distributed power sources can supply power of the load, thereby improving the safety of the distribution network; in the other words, due to the intermittency volatility distributed power sources, they also bring uncertain factors to the power system. However, the demand for power quality from power users is increasing, and there is a gap between the perceived reliability of electricity consumption by power users and the reliability indicators of distribution network power supply. With the many advantages of distributed power supply, such as economy, reliability, security, stability, etc., the traditional methods of distribution network reliability research are no longer suitable for the present time. Here, the reliability of distribution network with distributed power supply is taken as research object, the sequential Monte Carlo method is adopted, and the reliability assessment algorithm with distributed power supply is proposed. Finally, the reliability assessment of the main feeder F4 of IEEE RBTS BUS6 system algorithm on Matlab, which demonstrates that the reliability of distributed power supply can be improved when it accesses to distribution network.

Keywords:
Photovoltaic system Reliability (semiconductor) Reliability engineering Computer science Distributed generation Power (physics) Electrical engineering Engineering Renewable energy Physics

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Topics

Power System Reliability and Maintenance
Physical Sciences →  Engineering →  Safety, Risk, Reliability and Quality
Islanding Detection in Power Systems
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Optimal Power Flow Distribution
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
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