Reverse network plan method of distributing network in cities and towns based on reverse load predetermination

Abstract

The invention discloses a method for planning town distribution reverse network based on reverse load forecasting, characterized by adopting the reverse load forecasting and reverse network planning, where the reverse load forecasting has the steps of: calculating annual load forecasted value of a long-term plan; calculating short-term load forecasted value; and the reverse network planning has the steps of: determining addresses and capacities of long-term transformer stations by long-term forecasted total load; making a long-term network planning solution; deriving capacities and number of transformer stations for near- and medium- term plans from near- and medium- term plans; determining addresses and capacities of near- and medium- term transformer stations according to far-near combination principle and current practical situations; according to the long-term network planning solution and by synthetically considering present condition of network distribution, development schedule and other factors in the planned region, obtaining a near-term planning solution to assure continuity of electric network development and united cooperation between long-term and near-term solutions, thus laying a solid foundation for the electric network development in future.

Description

technical field [0001] The invention relates to distribution network load forecasting and distribution network planning methods. In particular, it relates to a reverse network planning method of urban distribution network based on reverse load forecasting method. Background technique [0002] At present, the load forecasting methods commonly used in power grids include expert forecasting method, analogy method, unit consumption method, per capita electricity consumption method, proportional coefficient growth method, elastic coefficient method, artificial intelligence method, etc. The common features of these methods are: according to the power load of the planning area in recent years, various mathematical methods are used to judge the trend of load growth, and the near, medium and long-term loads of the planning area are inferred from near and far. However, these methods have poor prediction accuracy for medium and long-term loads of urban distribution networks, and for m...

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to overcome the deficiencies of the current load forecasting methods commonly used in power grids, and propose a reverse network planning method for urban distribution networks based on the reverse load forecasting method

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