Capacity optimization and auxiliary peak regulation method for regional wind power plant group energy storage power station

A wind farm group and capacity optimization technology, applied in wind power generation, energy storage, flexible AC transmission system, etc., can solve problems such as operation mode and complex function realization strategy that have not been clearly seen in related research

Inactive Publication Date: 2014-06-18
SHANDONG UNIV
View PDF5 Cites 38 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0009] The above literature is of positive significance for promoting the related research of BESS, but for the BESS system with flexible function positioning and high operation adaptability, there is still no clear related research on its specific operation mode, compound function realization strategy and other fields

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
  • Capacity optimization and auxiliary peak regulation method for regional wind power plant group energy storage power station
  • Capacity optimization and auxiliary peak regulation method for regional wind power plant group energy storage power station
  • Capacity optimization and auxiliary peak regulation method for regional wind power plant group energy storage power station

Examples

Experimental program
Comparison scheme
Effect test

example

[0144] In visual studio2010, the C++ programming language is used for modeling, and the optimal solution of the problem is solved by calling the external solver CPLEX. A regional wind farm in Shandong is selected, including three geographically adjacent wind farms with installed capacities of 45MW, 40MW and 65MW respectively, and the sampling interval of grid-connected power is 10min. Taking the unit capacity (MWh) BESS basic cost as the benchmark value, each The per-unit values ​​of the parameters are shown in Table 1.

[0145] Table 1 parameter value list

[0146]

[0147] BESS capacity planning

[0148] Select the grid-connected power data of each wind field in a certain year, and determine the stabilization target value of the regional wind field and each scattered wind field according to the highest annual wind power utilization rate, and determine the regional wind field BESS and decentralized BESS based on the energy storage capacity planning method in this paper. ...

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 capacity optimization and auxiliary peak regulation method for a regional wind power plant group energy storage power station. The method comprises the steps that 1, a BESS (battery energy storage station) composite function charging and discharging realizing method of wind power plant group power fluctuation stabilization and power network peak regulation is considered, and a capacity optimization calculating model is built by using the BESS operation cost minimization as a target; 2, the super-short-term wind power is utilized for predication, and a real-time optimization operation model is built by using the maximization of gains when the BESS synchronously participates in the power fluctuation stabilization and the power network peak regulation as a target; 3, the cost sharing and gain distribution mode and method of the BESS system operation are provided. Through the adoption of the technical scheme, an energy storage system with the configuration required by a regional wind power plant can be planned, the economic and reasonable energy storage capability is optimized and calculated, meanwhile, an prioritization scheme that the energy storage system participates in the power network peak regulation in an auxiliary way is provided, and the reasonable and efficient operation level of a regional wind field configuration energy storage system is improved.

Description

technical field [0001] The invention relates to a capacity optimization of a regional wind farm group energy storage power station and an auxiliary peak regulation method thereof. Background technique [0002] The continuous increase in the penetration rate of intermittent power sources has led to increasing uncertainties in the grid energy balance system, and the current grid regulation is facing tremendous pressure. Due to the ability to change the spatio-temporal law of energy flow, energy storage system was born as a new link in the traditional energy flow transmission chain, and has become an important and feasible way to improve the controllability and utilization efficiency of intermittent power supply [1] . [0003] At present, scholars at home and abroad have carried out related research on the distributed energy storage of wind farms and the configuration of battery energy storage stations in regional wind farm groups (Battery Energy Storage Station, referred to a...

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): H02J3/28
CPCY02E10/76Y02E40/10Y02E70/30
Inventor 张峰梁军
Owner SHANDONG UNIV
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