A Distribution Network Structure Estimation Method Based on Mixed Integer Quadratic Programming Model

Abstract

The invention relates to a power distribution network structure estimation method based on a mixed integer quadratic programming model and belongs to the technical field power system dispatching automation and power network simulation. The method includes the steps of using branch switch states, node voltage amplitude and branch active and reactive power of a power distribution network as decision variables, using state estimation values and minimum measured value residual as targets and using the mixed integer quadratic programming model for solving power distribution network topology; calculating to obtain the switch state of every branch through real-time measured values and pseudo-measured values of the power distribution network and using the topology obtained through model solution as actual topology of the power distribution network. The power distribution network structure estimation method based on the mixed integer quadratic programming model makes full use of branch power measurement, node voltage measurement and load data of the power distribution network and is high in calculation speed and accurate in result.

Description

technical field [0001] The invention relates to a distribution network structure estimation method based on a mixed integer quadratic programming model, and belongs to the technical field of power system scheduling automation and power grid simulation. Background technique [0002] Distribution network state estimation is one of the most basic and important functions of distribution network management system, and correct network topology is the precondition to ensure reasonable distribution network state estimation. Due to the lack of real-time remote signaling of the switch and switch equipment in the distribution network, most of them are maintained manually, which leads to the unreliable topology of the distribution network. At the same time, the distribution network generally only has real-time measurement at the feeder root node and important contact switches, and the user transformer is equipped with metering terminals. Therefore, the measurement redundancy of the dist...

AI Technical Summary

Problems solved by technology

However, as the scale of the distribution network increases, the number of possible topological structures of the distribution network will increase sharply. The existing methods require a lot of calculations and may not be suitable for engineering applications of large-scale distribution networks.

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