Abstract
In allusion to the randomness of output power of distributed generation (DG), a reliability evaluation model based on sequential Monte Carlo simulation (SMCS) for distribution system with DG is proposed. Operating states of the distribution system can be sampled by SMCS in chronological order thus the corresponding output power of DG can be generated. The proposed method has been tested on feeder F4 of IEEE-RBTS Bus 6. The results show that reliability evaluation of distribution system considering the uncertainty of output power of DG can be effectively implemented by SMCS.
Highlights
With the development of social economy, the requirement of power quality and reliability becomes higher and higher
According to the randomness of output power of distributed generation (DG) and the time series characteristic of load, a reliability evaluation model based on sequential Monte Carlo simulation for distribution system is established
It is assumed that the time to failure (TTF) and the time to repair (TTR) obey exponential distribution
Summary
With the development of social economy, the requirement of power quality and reliability becomes higher and higher. In [4], the operating characteristics and reliability of DG operated in isolated island mode based on interval analysis had been proposed. With the consideration of the stochastic characteristics of power output of photovoltaic generation and wind power generation, a reliability evaluation algorithm for distribution network containing micro-grid had been investigated in [5]. This paper describes a method to identify the faults’ effect on load points’ reliability index based on equivalent simplification of distribution network. According to the randomness of output power of DG and the time series characteristic of load, a reliability evaluation model based on sequential Monte Carlo simulation for distribution system is established. The algorithm process based on sequential simulation method is proposed to make the reliability evaluation of feeder F4 of IEEE-RBTS Bus 6
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