Urban Distribution Network Planning Research Articles

Spatial Load Prediction Considering Spatiotemporal Distribution of Electric Vehicle Charging Load

In view of the influence of large-scale electric vehicle access to the distribution network on spatial load prediction, this paper proposes a spatial load prediction method for urban distribution network considering the spatial and temporal distribution of electric vehicle charging load. Firstly, electric vehicles are classified according to charging mode and travel characteristics of various types of vehicles. Secondly, the probability distribution function is fitted to the travel rules of electric vehicles according to the travel survey and statistical data of residents. Then, the model of electric vehicle travel chain is constructed, and the charging load in different regions and different times is calculated by Monte Carlo method. Finally, based on the actual data of a certain area, the predicted spatial load values of different functional communities in one day are obtained, which can provide reference for future urban distribution network planning.

Discussion on Urban Distribution Network Planning Based on Key Tech-nologies of Smart Distribution Network

Urban distribution network planning is the key technology of smart distribution network. The survey method is used to summarize the economic evaluation, load forecasting, and power grid planning of urban power grids. On this basis, the corresponding methods and solutions to the problem are proposed, including: improving the professional literacy of relevant technical practitioners, establishing and improving a smart distribution network supervision mechanism, and strengthening relevant maintenance of smart distribution network equipment. Optimize planning quality. Enable power companies to fully meet the development needs of modern society, better ensure the safety of power grid projects, and effectively plan urban power grids.

Research on Urban Distribution Network Planning and Optimization Measures Based on Real 3D Scenes

With the continuous advancement of smart grid construction, the structure of the power grid is becoming increasingly large and complex, and it is increasingly difficult to adapt to the requirements of grid development using traditional 3D drawings for grid design and operation and maintenance. The emerging 3D real-world modeling technology can visually and comprehensively display terrain, landforms, equipment appearance dimensions, wiring methods and other information. To promote the application of real-world 3D scene technology, electric power companies have repeatedly carried out 3D design of power grid projects and construction of data centers Optimized distribution network planning. Realize the linkage of real-world 3D scene plan maps, building information models, etc. through geographic connections, provide real feedback on site conditions, reduce the number of site surveys, save manpower and resources, and effectively implement urban power distribution network planning.

Application of Power Load Forecasting in Urban Distribution Network Planning Based on 3D Real Scene Platform

The 3D real-view platform technology builds a power load forecasting platform in urban distribution network planning. The completion of this system can provide integrated support for power load forecasting in power distribution line planning, and further provide a three-dimensional foundation platform for power load forecasting analysis and calculation software in power distribution planning. Urban distribution network planning is an important task for power supply companies. The quality of its construction directly affects the development of urban economy and the improvement of people’s quality of life. This paper combines the years of work experience to introduce the importance of power distribution network planning, which optimizes the structure of the power distribution network, which can ensure the safe operation of the power grid, reduce power loss, improve power supply reliability, and accurately predict power loads. To meet the needs of urban power load development.

Load Forecasting of Urban Power Grid under the Condition of Saturation

Urban distribution network is an important part of the power system, as one of the city’s important infrastructure; it is closely related to the city’s socio-economic development. The goal of urban distribution network planning is to improve the power supply ability and electricity quality constantly of the city network through scientific planning and constructing network-strong, structure-applicable, safe, reliable, running-flexible, energy-saving and efficient distribution network, and consequently the distribution network will meet the requirements of urban economic growth and society development. This study takes a county in eastern Jiangxi as an example; this paper chooses a variety of load forecasting methods to carry on the recent load forecasting calculation to central urban area. At the same time, this paper uses load density index method to predict the Long - term load forecasting of electric saturation load of central urban area lasted until 2030. And further study shows the general distribution of the urban saturation load in space.

A Method of Power Supply Mode Selection for Urban Distribution Network Planning Based on Association Rules

AbstractBased on association rules, this article proposed a method for intelligent recommendation of power supply mode, which helps decision-makers in the selection of many schemes. Firstly, a history database which includes the forecasting models and correlative factors was first built and association rule mining was conducted; then combined with the correlative factors in the designated area, the criteria matching in the rules mined were carried out with CBR technique; finally automatic recommendation of the power supply modes was achieved under the given conditions. By application of an example, it is demonstrated that the proposed method can not only automatically analyze the applicability of power supply modes and the intrinsic relationship between correlative factors but also provide, to some extent, theoretical basis for selection of power supply modes and practical utility for urban distribution network planning.

Based on Artificial Intelligent Algorithm for Optimization of Urban Radial Distribution Network

This paper summarized the basic steps and processes of urban distribution network planning. It used genetic algorithm with strong global optimization ability for medium voltage distribution network substation outlet to make optimization calculation, and then formed radiation type of power supply network. According to the radial network structure, considering the limitation of the outlet of substation standby capacity and reliability constraint conditions, to meet the situation of minimum investment cost, determined the connection mode of distribution network and contact line direction. This paper adopts an actual distribution network planning project of Tianjin as an example, according to the load forecasting results, determine the connection mode of distribution network and contact line direction, the results meet the reliability, economy and other requirements.

Rapid evaluation method for power supply capability of urban distribution system based on N − 1 contingency analysis of main-transformers

A proper evaluation on the power supply capability of urban distribution system is of much social and economical significance. In competitive marketing environment, to satisfy the sustainable growth of distribution loads, electric utilities must judge whether the return of power supply capability is sustainable and valued against the certain amount of investment. Therefore, to make up the insufficiency of traditional methods referring from the concept of total transfer capability (TTC) of transmission system, this paper proposes a straightforward method to evaluate the power supply capability (PSC) of distribution system, which is based on N − 1 contingency analysis of interconnected main-transformers. Firstly, a series of interconnected main-transformer groups are drawn from the main-transformers’ interconnection analysis after the topological simplification of distribution system. Secondly, the maximum average loadability of each main-transformer is concluded through the N − 1 contingency analysis of every interconnected group. Finally, based on a comprehensive analysis of all the interconnected groups’ results, the maximum permissible loadability of each main-transformer can be obtained, thus the PSC of the entire distribution system can be calculated. Through the application in a distribution system of Shanghai, China, the effectiveness and the accuracy of the method are demonstrated. The application results suggest that, the method presented in this paper is a simple and practical tool to evaluate the PSC of a distribution system, which needs only one calculation with constraints according to the N − 1 guideline. Moreover, the interconnection weak-points and the interconnection bottlenecks of the distribution system can be identified easily with this approach, thus providing effective references for urban distribution network planning and the following project investment decisions.