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

Programming method and system for distributed photovoltaic grid-connected penetration level

A distributed photovoltaic, access capacity technology, applied in photovoltaic power generation, AC network circuit, single-grid parallel feeding arrangement, etc. The results of network access capacity determination are unreasonable and inaccurate, so as to improve the level of node voltage distribution, ensure safe and stable operation, and ensure rationality and accuracy.

Active Publication Date: 2018-05-29
STATE GRID CORP OF CHINA +2
View PDF3 Cites 11 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In view of this, the embodiment of the present invention provides a distributed photovoltaic grid-connected access capacity planning method and system to solve the randomness and volatility characteristics that cannot be included in the output of photovoltaic power sources in the prior art, and all of them satisfy The results obtained under the constraints of power grid security and stability under special conditions or even extreme conditions lead to unreasonable and inaccurate determination results of distributed photovoltaic grid-connected access capacity

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
  • Programming method and system for distributed photovoltaic grid-connected penetration level
  • Programming method and system for distributed photovoltaic grid-connected penetration level
  • Programming method and system for distributed photovoltaic grid-connected penetration level

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0030] refer to figure 1 , figure 1 It shows the implementation process of the distributed photovoltaic grid-connected access capacity planning method provided by Embodiment 1 of the present invention. The process execution subject of this embodiment may be a terminal device, and the process is described in detail as follows:

[0031] S101: Determine photovoltaic power output as a first random variable, establish a comprehensive probability model of photovoltaic power output according to the first random variable, determine load output as a second random variable, and establish a probability model of load output according to the second random variable.

[0032] Among them, the comprehensive probability model of photovoltaic power output includes a probability model based on the parameter Beta distribution and a probability model based on non-parametric kernel density estimation.

[0033] Photovoltaic power output is closely related to factors such as light intensity, temperat...

Embodiment 2

[0156] refer to figure 2 , figure 2 A schematic structural diagram of a planning system 200 for distributed photovoltaic grid-connected access capacity provided by Embodiment 2 of the present invention is shown. The planning system 200 for distributed photovoltaic grid-connected access capacity in this embodiment includes: a probability model establishment module 210, an acquisition module 220, a random vector generation module 230, a chance-constrained programming model determination module 240, and a maximum access capacity solution module 250 and planning module 260 .

[0157] The probability model building module 210 is used to determine the photovoltaic power output as a first random variable, establish a comprehensive probability model of photovoltaic power output according to the first random variable, determine the load output as a second random variable, and establish a load output according to the second random variable. A probabilistic model of output.

[0158]...

Embodiment 3

[0191] refer to image 3 The embodiment of the present invention also provides a terminal device 3, including a memory 31, a processor 30, and a computer program 32 stored in the memory and operable on the processor. When the processor 30 executes the computer program 32 Realize the steps in each method embodiment as described in the above-mentioned embodiment, for example figure 1 Steps S101 to S106 are shown. Alternatively, when the processor 30 executes the computer program 32, it realizes the functions of the modules in the system embodiments described in the above embodiments, for example figure 2 The functions of modules 210 to 260 are shown.

[0192] The terminal device may be computing devices such as desktop computers, notebooks, palmtop computers, and cloud servers. The terminal device may include, but not limited to, a processor 30 and a memory 31 . For example, the terminal device may also include an input and output device, a network access device, a bus, and...

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

The invention is applicable to the technical field of distribution network planning and discloses a programming method and system for distributed photovoltaic grid-connected penetration level. The method includes the steps of determining photovoltaic power output and load output as random variables, and establishing a comprehensive probabilistic model of the photovoltaic power output and a probabilistic model of the load output; using Latin hypercube sampling method based on the principle of equal probability transformation and a square root method to generate mutually independent random vectors; determining a chance constrained programming model when the sum of penetration levels of distributed photovoltaic power supplies accessed to a distribution network system is the maximum, using a Cuckoo search algorithm based on a particle swarm algorithm to solve the chance constrained programming model, and obtaining the distributed photovoltaic grid-connected maximum penetration level; and according to the distributed photovoltaic grid-connected maximum penetration level, programming the photovoltaic grid-connected level of each node in the distribution network system. The method and system of the invention consider the characteristics of the randomness and volatility of the photovoltaic power output, improve the voltage distribution level of the nodes, and ensure the safe and stableoperation of the distribution network.

Description

technical field [0001] The invention belongs to the technical field of distribution network planning, and in particular relates to a planning method and system for distributed photovoltaic grid-connected access capacity. Background technique [0002] The access of distributed photovoltaics in the power grid has changed the network structure, making the power grid change from the original single-ended radiation type to a double-ended and ring network, which brings a series of challenges to the safe and stable operation of the power grid. In view of the diversity of load distribution in my country's distribution network, to ensure the economical, stable and reliable operation of the power grid, it is necessary to determine the acceptable distributed photovoltaic grid-connected access capacity of the distribution network under the typical load distribution law. [0003] At present, there are three main methods for determining the capacity of distributed photovoltaic grid-connec...

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): H02J3/46H02J3/38
CPCH02J3/383H02J3/46H02J2203/20Y02E10/56
Inventor 王文宾马振宏李会彬段珺韩胜峰朱燕舞赵辉任雨王宁岳宇飞王君
Owner STATE GRID CORP OF CHINA
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