Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Urban power distribution network loss reduction optimization method based on load prediction model

A technology of load forecasting and optimization methods, applied in the field of electric power

Inactive Publication Date: 2020-09-01
ELECTRIC POWER RESEARCH INSTITUTE OF STATE GRID NINGXIA ELECTRIC POWER COMPANY
View PDF2 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In addition, the current application of energy efficiency load management technology in the reduction of distribution network loss is less, it is necessary to optimize the control of existing traditional loss reduction measures to reduce the loss of distribution network, so combined with energy efficiency load management technology, and consider The influence of distributed power generation on the network loss of distribution network, it is particularly important to comprehensively optimize the urban distribution network to reduce loss

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Urban power distribution network loss reduction optimization method based on load prediction model
  • Urban power distribution network loss reduction optimization method based on load prediction model
  • Urban power distribution network loss reduction optimization method based on load prediction model

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0042] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following will be described in conjunction with the embodiments.

[0043] A method for optimizing loss reduction of urban distribution network based on load forecasting model includes the following steps:

[0044] Step S001, establish a mathematical model for comprehensive optimization of distribution network losses, that is, comprehensively consider the comprehensive cost of residential energy efficiency load management, network loss of distributed power distribution network, transformer loss, switching times and reactive power compensation voltage offset index, and establish a distribution network. Mathematical model for comprehensive optimization of power grid losses;

[0045] Step S002, establishing the constraints of the mathematical model for the comprehensive optimization of urban distribution network losses;

[0046] In step S003, the improved harmony se...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

An urban power distribution network loss reduction optimization method based on a load prediction model comprises the steps of building a mathematical model for the comprehensive optimization of powerdistribution network loss, namely, the mathematical model for the comprehensive optimization of power distribution network loss is responsible for comprehensively considering the network loss, the switching times, the energy efficiency load optimization management and reactive compensation voltage deviation indexes of a distributed power distribution network; establishing a constraint conditionsof the mathematical model for the comprehensive optimization of the urban power distribution network loss; and adopting an improved harmony search algorithm to solve the mathematical model for the comprehensive optimization of the urban power distribution network loss, wherein the solved global optimal solution is the minimum value of the loss of the power distribution network under the constraintcondition within a certain range. According to the present invention, the power personnel can adjust the power grid according to each parameter in the global optimal solution, thereby achieving the purpose of reducing the consumption of the power distribution network.

Description

technical field [0001] The invention relates to the field of electric power technology, in particular to a method for optimizing loss reduction of an urban distribution network based on a load forecasting model. Background technique [0002] With the increasing scarcity of power resources since the 21st century, improving energy efficiency and saving resources has become a new requirement for China's social and economic development. At the same time, the excessive loss of the distribution network will seriously affect the economic benefits of the power company and cause a waste of social resources. The power system itself is a large energy consumer, and the urban distribution network is the main part of the energy loss of the power system. The realization of energy saving and consumption reduction of the distribution network plays a decisive role in improving the economic efficiency of power supply enterprises and achieving the target profit. Due to the fast growth of load ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): H02J3/00H02J3/16G06Q10/04G06Q50/06
CPCG06Q10/04G06Q50/06H02J3/16H02J3/003H02J2203/20H02J2310/14H02J2310/50Y02B70/30Y02B70/3225Y02E40/30Y02E40/70Y04S10/50Y04S20/222Y04S20/242
Inventor 张庆平高博黄鸣宇闫振华李学锋夏绪卫李秀广郭飞周秀马瑞罗海荣李兴华蔡建辉亓亮马波何宁辉王一波
Owner ELECTRIC POWER RESEARCH INSTITUTE OF STATE GRID NINGXIA ELECTRIC POWER COMPANY
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products