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

Day-ahead optimal scheduling method for incremental distribution network with high permeability distributed photovoltaic

A distributed photovoltaic and optimal dispatching technology, applied in the direction of photovoltaic power generation, AC network voltage adjustment, power network operating system integration, etc., can solve problems such as distribution network reverse transmission, voltage exceeding the specified upper limit, etc.

Inactive Publication Date: 2019-03-15
TIANJIN UNIV +1
View PDF4 Cites 13 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] In order to reduce the cost of electricity purchase, the incremental distribution network operators install larger photovoltaic capacity, but when the photovoltaic output is large and the load is small, the photovoltaic presents a high penetration rate access scenario. At this time, the distribution network is prone to occur along the feeder The power is sent backwards, and even the voltage exceeds the specified upper limit.

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
  • Day-ahead optimal scheduling method for incremental distribution network with high permeability distributed photovoltaic
  • Day-ahead optimal scheduling method for incremental distribution network with high permeability distributed photovoltaic
  • Day-ahead optimal scheduling method for incremental distribution network with high permeability distributed photovoltaic

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0075] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments, but the following embodiments in no way limit the present invention.

[0076] A day-ahead optimal scheduling method for an incremental distribution network with high-permeability distributed photovoltaics, comprising the following steps:

[0077] 1) According to the incremental distribution network model, the optimization model of the incremental distribution network is set up, and the optimization model includes the operating cost objective function and constraints, and the operating cost f objective function is:

[0078] minf=f b +f P +f c +f x +f s

[0079] Among them, f b Indicates the whole day electricity purchase cost, f p Indicates the penalty cost of voltage violation throughout the day, f c Indicates the operation cost of the OLTC tap in the distribution station throughout the day, f x Indicates the charge and discharge cost of...

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 present invention discloses a day-ahead optimal scheduling method for incremental power distribution network with high permeability distributed photovoltaic. The method comprises following steps:constructing an incremental distribution network day-ahead optimization model according to a incremental distribution network model, the optimization model includes a running cost objective function and constraint conditions: using the constructed incremental distribution network day-ahead optimization model and taking minimization of the objective function as a target to optimize the incrementaldistribution network; the day-ahead optimal scheduling method for incremental distribution network with high permeability distributed photovoltaic has following advantages: comprehensively consideringtechnologies of a photovoltaic converter RPC, a power distribution station SVC, an OLTC tap action and a user side ESS charge and discharge control methods, considering superiority of the distributedphotovoltaic in the incremental distribution network and user side energy storage complementary power supply, establishing a quadratic constrained quadratic QCQP optimization model based on a branchpower flow model BFM. The control method is more comprehensive and can obtain a scheduling plan with a smaller day-ahead running cost and achieve the desired voltage regulation effect.

Description

technical field [0001] The invention relates to the technical field of power supply and distribution, in particular to a day-ahead optimization scheduling method for an incremental distribution network containing high-permeability distributed photovoltaics. Background technique [0002] In order to reduce the cost of electricity purchase, the photovoltaic capacity installed by the incremental distribution network operator is relatively large, but when the photovoltaic output is large and the load is small, the photovoltaic shows a high penetration rate. At this time, the distribution network is prone to occur along the feeder The power is reversed, and even the voltage exceeds the specified upper limit. Contents of the invention [0003] The purpose of the present invention is to provide a day-ahead optimal scheduling method for an incremental distribution network containing high-permeability distributed photovoltaics. [0004] For this reason, technical scheme of the pre...

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
Patent Type & Authority Applications(China)
IPC IPC(8): H02J3/38H02J3/28H02J3/12G06Q10/06G06Q50/06
CPCG06Q10/06312G06Q50/06H02J3/383H02J3/12H02J3/28H02J2203/20H02J2310/64Y02B70/3225Y02E10/56Y02E40/70Y02E70/30Y04S10/50Y04S20/222
Inventor 郭力彭昱皓路畅高爽徐斌
Owner TIANJIN UNIV
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