Method and apparatus for assessing reliability of new energy power distribution network

Abstract

The invention discloses a method and an apparatus for assessing the reliability of a new energy power distribution network. The method comprises the steps of obtaining a fault probability distribution function of each component; generating uniformly distributed random numbers between 0 and 1, and obtaining working time and fault time of each component; performing optimization on working time of all components based on a fruit fly optimization algorithm, and obtaining the component with shortest working time as a fault component; judging whether the fault component is a feeder line component or not; if yes, performing fault analysis on a feeder line region, and determining a fault type and load point data; performing statistics on a load point index according to the load point data; and performing statistics on a system reliability index and a load point reliability index according to the load point index. According to the method and the apparatus, a running condition of the new energy power distribution network containing DG, EV and the like can be quickly simulated by improving a conventional sequential Monte Carlo simulation method, and the load point data of the power distribution network can be calculated more quickly, so that the crash is avoided, the memory occupation is reduced, and the user experience is improved.

Description

technical field [0001] The invention relates to the field of data processing, in particular to a method and device for evaluating the reliability of a new energy distribution network. Background technique [0002] With the rapid development of the national economy and the ever-changing construction of ultra-high-voltage large power grids, the disadvantages of the single system power supply mode of the distribution network and the fact that local accidents can easily induce large-scale power outages have become increasingly prominent, and with the massive consumption of traditional fossil energy, environmental pollution The problem is becoming more and more serious. The development and utilization of distributed energy (Distributed Generation, DG) and the popularization of electric vehicles (Electric Vehicle, EV) have become effective measures to reduce my country's energy pressure and protect the environment. However, the uncertainty of DG power generation and EV charging has...

AI Technical Summary

Problems solved by technology

The sequential simulation method uses the probability distribution of component life to analyze the impact of components on system reliability indicators as time progresses, which requires more memory space and longer simulation time, and the simulation process is more complicated; The through-simulation method uses random sampling to generate uniformly distributed random numbers, and then compares the value of this random number with the probability of the component in each state to determine the state of the component, but the entire simulation process does not take into account the system Timing characteristics, the result has a large error

[0004] However, with a large number of new energy sources such as DG and EV connected to the distribution network, the capacity and location of DG and EV will have an impact on the reliability of the system, and the traditional sequential Monte Carlo simulation method is more complex When the distribution network is simulated, it is easy to fall into a "crash" state, making the traditional distribution network reliability evaluation method unable to meet today's needs

Images