User demand side power distribution network planning method based on multi-load optimal configuration

Abstract

The invention discloses a user demand side power distribution network planning method based on multi-load optimal configuration, and the method comprises the steps: obtaining the historical capacity record of each enterprise user in each manufacturing type industry in an industrial production area, and obtaining the average daily capacity power consumption of each enterprise user in each manufacturing type industry; the estimated daily average calling electric quantity of the industrial production area power distribution network is analyzed, and the corresponding estimated electric quantity calling is performed, so that the power supply efficiency of the power distribution network in the smart power grid is improved, and the safe and reliable operation of the power distribution network in the smart power grid is ensured; meanwhile, corresponding planning and processing measures are taken according to the electric energy quality of each enterprise user power distribution branch in each manufacturing type industry in the industrial production area, so that the production continuity and efficiency of the enterprise users are improved, and the production cost of the enterprise users is reduced; and the actual power consumption of each enterprise user for producing a single product in each manufacturing type industry is obtained, so that the power management accuracy of the smart power grid is improved.

Description

technical field [0001] The invention relates to the technical field of distribution network planning, and relates to a user demand side distribution network planning method based on multi-load optimal configuration. Background technique [0002] At the load end of the distribution network, with the continuous advancement of smart grid construction, more and more data collection equipment can collect the electricity consumption of enterprise users. Enterprise users in different manufacturing industries have great differences in daily energy consumption. Therefore, it is necessary to continuously optimize user demand side management services to achieve the important goal of long-term planning of power distribution network in the power sector. [0003] The existing distribution network planning method in the smart grid basically adopts a centralized and unified power supply method, which cannot provide management services according to the power consumption needs of different m...

AI Technical Summary

Problems solved by technology

[0003] The existing distribution network planning method in the smart grid basically adopts a centralized and unified power supply method, which cannot provide management services according to the power consumption needs of different manufacturing types of enterprise users, which makes the load pressure on the distribution network in the smart grid increasing day by day, and even overloaded The operation situation, which in turn causes losses caused by large-scale power outages, seriously affects the power supply efficiency of the distribution network in the smart grid, makes the distribution network in the smart grid unable to operate safely and reliably, and reduces the economic benefits of the smart grid;

[0004] In the existing smart grid, the planned power supply of the distribution network does not consider the power quality of the power distribution branch of the enterprise user, and there are problems such as the load downtime or failure of the enterprise user, the decline of the product yield rate, and the excessive power loss due to poor power quality. As a result, enterprise users cannot produce and operate normally, seriously affecting the production continuity and efficiency of enterprise users, and increasing the production costs of enterprise users

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