Peak clipping and valley filling optimization scheduling method for distributed energy storage power station during photovoltaic grid connection

A distributed energy storage and optimal dispatching technology, which is applied in the field of distributed energy storage power stations and optimal dispatching of distributed energy storage power stations, and can solve the problems of frequent startup and shutdown of conventional units, wind curtailment, and immaturity.

Inactive Publication Date: 2020-07-07
STATE GRID JIANGSU ECONOMIC RES INST +2
View PDF1 Cites 9 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] At present, most of the existing research focuses on the use of energy storage to increase the acceptance space of wind power, and the research on the use of distributed energy storage power stations to solve the problems of frequent start-up and shutdown of conventional units and wind curtailment caused by regional large-scale distributed photovoltaic grid connection has not yet been carried out. Mature

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
  • Peak clipping and valley filling optimization scheduling method for distributed energy storage power station during photovoltaic grid connection
  • Peak clipping and valley filling optimization scheduling method for distributed energy storage power station during photovoltaic grid connection
  • Peak clipping and valley filling optimization scheduling method for distributed energy storage power station during photovoltaic grid connection

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0033] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0034] Such as Figure 1-3 Shown: An optimal scheduling method for peak-shaving and valley-filling of distributed energy storage power stations when photovoltaic grid-connected, the optimal scheduling method includes the following steps:

[0035]Step 1: Based on the distributed energy storage power station to cut peaks and fill valleys and ensure that the distributed energy storage power station has a certain charge and discharge space after the entire dispatch cycle, and the dispatch center obtains the distributed photovoltaic forecast information P based on the SCADA system pv , load forecasting information P load , the forecast information P of the wind farm group w,f And the initial charge SOC of the distributed energy storage power station 0 ;

[0036] Step 2: Calculate the daily net load value, and establish an objective function with the goal...

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 discloses a peak clipping and valley filling optimization scheduling method for a distributed energy storage power station during photovoltaic grid connection. The optimization scheduling method comprises the following steps: 1, obtaining wind power plant group prediction information, distributed photovoltaic prediction information, load prediction information and distributed energystorage power station charge capacity information; 2, calculating a daily net load value, establishing a target function by taking the minimum daily net load variance as a target to optimize the charging and discharging power of the distributed energy storage power station, and forming a day-ahead charging and discharging plan of the distributed energy storage power station; and 3, based on the system economy and the wind power priority scheduling principle, bringing the day-ahead charging and discharging plan of the distributed energy storage power station into system power balance constraint, and establishing an objective function by taking the lowest system operation cost as a target to optimize the output of the wind power plant group and the output of the conventional unit so as to form output plans of the wind power plant group and the conventional unit. According to the invention, the net load peak-valley difference caused by distributed photovoltaic grid connection is reduced through the energy storage power station, and the power grid regulation capability is improved.

Description

technical field [0001] The present invention relates to the technical field of distributed energy storage power stations, in particular to the technical field of optimal dispatching of distributed energy storage power stations, in particular to an optimal dispatching method of distributed energy storage power stations for peak-shaving and valley-filling when photovoltaic grids are connected. Background technique [0002] At present, most of the existing research focuses on the use of energy storage to increase the acceptance space of wind power, and the research on the use of distributed energy storage power stations to solve the problems of frequent start-up and shutdown of conventional units and wind curtailment caused by regional large-scale distributed photovoltaic grid connection has not yet been carried out. Mature. For this reason, aiming at the system peak shaving problem caused by regional scale distributed photovoltaic grid connection has become one of the main con...

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): H02J3/32H02J3/38H02J3/28H02J3/46G06Q10/04G06Q10/06G06Q50/06
CPCH02J3/32H02J3/28H02J3/46G06Q10/04G06Q10/06312G06Q10/06315G06Q50/06Y04S10/50Y02E10/56Y02E10/76Y02E70/30
Inventor 王荃荃葛毅周晨陶以彬李琥余豪杰李官军马龙鹏史静杨波薛金花刘国静黄成辰刘欢
Owner STATE GRID JIANGSU ECONOMIC RES INST
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products