Method of Determining Electricity Demand Coefficient in Urban Residential Quarters Using Neural Network Model

Abstract

The invention relates to a method for determining electricity demand factors of urban residential communities through a neural network model, and belongs to the technical field of power systems. According to the technical scheme, the method comprises the following steps that (1) samples are collected; (2) demand factor samples are constructed; (3) the neural network model is trained; (4) the demand factors are calculated through the neural network model, it is assumed that the household number scale of a certain electricity utilization group is Q, the average house type area is A, and the occupancy rate is lambda, the household number scale, the average house type area and the occupancy rate are adopted as the input of the BP neural network model, and the household number demand factor Z(N) and the area demand factor Z(A) of the electricity utilization group are adopted as the output of the model. The method has the advantages that the community electricity utilization demand factors under the factor influence of the community type, the household number, the house type area, the occupancy rate and the like can be calculated precisely under the condition of a certain electricity load index, the defects that the demand factor reference range given by existing guide rules is too wide and not accurate enough are overcome, and therefore distribution network planning is effectively guided, and economical and safe running of a distribution network is guaranteed.

Description

technical field [0001] The invention relates to a method for determining the electricity demand coefficient of an urban residential quarter by adopting a neural network model, and belongs to the technical field of electric power systems. Background technique [0002] With the development of the economy and the continuous improvement of people's living standards, new residential quarters continue to emerge in cities, and higher and higher requirements are placed on the reliability of power supply from distribution networks. The installation and connection capacity of distribution transformers in residential quarters has important practical significance for distribution network planning and its safe and economical operation. calculated by the calculation method. Among them, the electricity load index and the demand coefficient are the key points, which are explained in the technical guidelines for distribution network planning issued by some places: [0003] According to reg...

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Problems solved by technology

[0006] It can be seen that the descriptions of power load indicators and demand coefficients in these guidelines are relatively general, and the reference range given is very wide and not accurate enough.

In practice, when these guiding principles are used to calculate the distribution capacity of the community, since the actual load of the community is affected by multiple factors such as the type of the community, the number of households, the area of ​​the apartment, and the occupancy rate, there is often a gap between the calculation result and the actual load of the community. There are two problems easily caused by the large gap: first, the utilization rate of distribution network lines is low; on the surface, according to the distribution capacity statistics, some lines no longer have the capacity to open the load, but in reality the line load is relatively low, indicating that There is still a large load opening capability; the second is the heavy load of the line. Since the development of the connected load is not considered, when the users whose power supply scheme has been approved are actually connected, the power grid actually does not have the load opening conditions

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