Power supply capability evaluation method for power distribution network based on confidence capacity of distributed power supply

Abstract

The invention provides a power supply capability evaluation method of a power distribution network based on confidence capacity of a distributed power supply. The power supply capability evaluation method comprises building output models of the distributed power supply, wherein the output models include a wind turbine output model and a photovoltaic output model; building a power distribution network power supply capability calculating model based on confidence capacity of the distributed power supply, wherein a load in the model is supplied with power by the power distribution network together with the connected distributed power supply; carrying out verification with constraint conditions, wherein reliability of the power distribution network and a calculating method based on the loss of load expectation are taken as the main constraint conditions; evaluating reliability of the power distribution network containing the distributed power supply: using a Sequential Monte Carlo simulation method to evaluate reliability of the power distribution network containing the distributed power supply; optimizing and adjusting the load in the feeder line area: adjusting the load in the feeder line subarea through iteration on the premise of system reliability, thereby obtaining effective load carrying capacity of the distributed power supply; calculating the power supply capability of the system: using Matlab (matrix laboratory) to calculate the maximum power supply capability of the system based on the power distribution network power supply capability calculating model.

Description

technical field [0001] The invention relates to a method for evaluating the power supply capacity of a distribution network for urban network planning and management. In particular, it relates to a distribution network power supply capability evaluation method based on distributed power generation confidence capacity. Background technique [0002] As power security issues become increasingly prominent, renewable resources such as hydropower, solar energy, and wind energy occupy an increasingly important position in the power supply layout. At the same time, with the rapid development of distributed power generation technology, a large number of distributed power sources are connected to the grid. Distributed power generation can efficiently utilize renewable power sources such as wind and light, and reduce the transmission loss of electric energy. It is an indispensable part of the future urban power grid. [0003] At present, the confidence capacity evaluation can be carr...

AI Technical Summary

Problems solved by technology

[0004] Although distributed generation connected to the distribution network can partially absorb the load, reduce the load bearing pressure of the distribution network, and delay the upgrading of the distribution network, but in the active distribution network with a low penetration rate of distributed generation , due to the randomness and uncertainty of wind power and other renewable power output, it has a low capacity confidence, and its output fluctuatio...

Images