Comprehensive energy-conservation evaluation and decision-making method for urban and rural distribution network

Abstract

The invention relates to a comprehensive energy-conservation evaluation and decision-making method for an urban and rural distribution network. In the method, current comprehensive data of a power grid by modeling the power grid; unified analysis processing and seamless exchange docking of distribution network data are realized by adopting reasonable fault tolerance and error correction technology so as to ensure the accuracy of comprehensive data information. An energy-conservation and loss reduction optimization management strategy of the urban and rural distribution network is researched by combining the costs of a line loss evaluation system and each link of loss reduction technology according to optimization technology.

Description

technical field [0001] The invention relates to the fields of distribution network energy saving, line loss reduction technology and energy-saving transformation, transformer loss reduction technology and energy-saving transformation, and distribution network energy-saving investment decision-making technology, and specifically relates to a comprehensive energy-saving evaluation and decision-making method for urban and rural distribution networks. Background technique [0002] With the advancement of my country's power grid construction, the planning of urban and rural distribution networks has continued to expand, and the power supply problem has been resolved. However, from the perspective of the sustainability and healthy development of my country's power grid, there are some problems in my country's urban and rural distribution networks, including the lack of overall development planning, unreasonable power grid structure, long power supply radius, insufficient reactive p...

AI Technical Summary

Problems solved by technology

At present, this method mostly relies on the experience of specialized workers, manually adjusts and replaces the parameters of existing transformers or wires in the power grid, and analyzes the line loss rate of the power grid before and after adjustment. Therefore, there is no scientific model in the decision-making process, and it basically relies on experience and Human factors; the decision-making granularity of the final decision to implement is coarse, the effect of the decision-making is not clear, and it is impossible to judge whether there is a reasonable input-output ratio; after the implementation of the measures, there is also a lack of tracking and verification

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