A distribution network measurement and configuration method considering multiple network structures

A technology of network structure and measurement configuration, applied in the field of measurement and configuration of distribution network, can solve the problems of difficulty in guaranteeing estimation accuracy, not considering the difference of measurement configuration, and insufficient robustness of measurement configuration, etc., to achieve robustness. Improve, avoid economic waste, and measure configuration results more realistically

CN105958487BActive Publication Date: 2018-05-01SHANDONG UNIV
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Publication Date
2018-05-01

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Abstract

The invention discloses a power distribution network measurement configuration method considering various network structures. The method comprises the steps of pre-estimating a running state of a power distribution network and determining a relationship between a measurement quantity and a state quantity; according to an actual running state of the power distribution network, constructing various network structures in different states during measurement configuration; analyzing saturation measurement characteristics of a power distribution network system in different network structures, and determining a saturation measurement quantity based on a heuristic algorithm; constructing a measurement configuration model by taking a minimum weighted sum of estimated errors of the various network structures as a goal under a constraint condition that the saturation measurement quantity is an installation quantity upper limit of the measurement quantity; and solving a weight coefficient of the measurement configuration model by utilizing an analytic hierarchy process, traversing all selectable schemes, solving an optimal solution, and outputting an optimal measurement configuration scheme. According to the method, the influence difference of different network structures on the measurement configuration is analyzed in a manner of the weight coefficient, so that a measurement configuration result is more practical.
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Description

technical field

[0001] The invention relates to a distribution network measurement and configuration method considering multiple network structures. Background technique

[0002] The development of advanced application software technology and self-healing control technology of intelligent distribution network has greatly improved the automation level of distribution network, and online network reconstruction is possible. Network reconstruction will be used as an active distribution network to reduce network loss and increase voltage. levels, and common measures to restore power to loads after a fault. Therefore, the impact of network reconfiguration on measurement configuration cannot be ignored, and the measurement configuration based on a network structure can no longer meet the requirements of distribution network state estimation accuracy. Therefore, it is necessary to design a robust measurement system that takes into account various network structures.

[0003] Reaso...

Examples

Embodiment Construction

[0043] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0044] Such as figure 1 As shown, the distribution network measurement and configuration method considering multiple network structures includes the following steps:

[0045] (1) The weighted least squares method is selected as the state estimation method;

[0046] (2) According to the actual operating state of the distribution network, the network structure considered in the measurement configuration includes four types: normal operation network structure, weak ring network, optimized and reconstructed network structure, and fault reconstructed network structure;

[0047] (3) Analyze the saturation measurement characteristics of the system under different network structures, determine the saturation measurement quantity of the system based on a heuristic algorithm, and use it as the upper limit of the installation quantity of the measurement quantity ...