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

Primary frequency modulation capacity planning method considering shared energy storage joint participation of wind power cluster

A wind power cluster and frequency modulation capacity technology, which is applied in wind power generation, computing, electrical components, etc., can solve problems such as long computing time and easy to fall into local optimum, so as to reduce energy storage capacity, improve solution efficiency, and improve energy storage utilization efficiency Effect

Pending Publication Date: 2022-04-29
TAIYUAN UNIV OF TECH
View PDF0 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] With the increase in the number of wind turbines and the large and complex data volume of wind power clusters, most of the currently used intelligent algorithms based on stochastic simulation have long calculation time and are prone to fall into local optimum when solving chance-constrained programming. Advantages and disadvantages

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
  • Primary frequency modulation capacity planning method considering shared energy storage joint participation of wind power cluster
  • Primary frequency modulation capacity planning method considering shared energy storage joint participation of wind power cluster
  • Primary frequency modulation capacity planning method considering shared energy storage joint participation of wind power cluster

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0040] A method for primary frequency regulation planning considering wind power cluster joint shared energy storage participation system, comprising the following steps:

[0041] Step 1, consider generating wind speed data describing the wind speed uncertainty through the probability distribution fitting of the two-parameter Weibull distribution;

[0042] The output characteristics modeling of wind power cluster is to simulate the power output characteristics of wind power. Firstly, the probability distribution of simulated natural wind speed is obtained, and then the actual wind speed in the wind power cluster is obtained under the influence of wind power cluster effect. Finally, the wind speed-wind power relationship formula is used Get the output power of the wind power cluster.

[0043] Usually be used for fitting the linear shape of wind speed distribution a lot, the present invention selects double parameter Weibull distribution to fit wind speed, and distribution funct...

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 relates to a planning model and a solving method for wind power cluster shared energy storage joint participation primary frequency modulation, in particular to a primary frequency modulation capacity planning method considering wind power cluster shared energy storage joint participation. A wind power output uncertainty model is established through probability distribution based on Weibull distribution, output characteristics of each wind turbine generator under a wind power cluster are comprehensively considered, shared energy storage is configured in a centralized manner to jointly undertake a primary frequency modulation task, and a relationship between reliability and economy is processed through chance constraint planning. And establishing a wind power cluster shared energy storage joint participation power grid primary frequency modulation capacity optimization model. And finally, the opportunity constraint is converted into a deterministic constraint solving method, so that the model solving efficiency is improved. According to the determined scheme, under the conditions that the number of wind turbine generators is increased and wind power cluster data is huge and complex, coordinated planning of economy and reliability of primary frequency modulation of the wind storage combined system is achieved, and the method has better solving efficiency and has application and popularization prospects.

Description

technical field [0001] The present invention relates to the primary frequency regulation planning of new energy sources in the power system, and in particular to the capacity planning model and corresponding solution method for the primary frequency regulation of the wind-storage joint participation system, which takes into account the uncertainty of wind power, wind power clusters, shared energy storage and opportunity-constrained planning, etc., specifically A capacity planning method for primary frequency regulation considering joint participation of shared energy storage of wind power clusters. Background technique [0002] With my country's 2030 "carbon peak" and 2060 "carbon neutral" strategic goals, the penetration rate of wind power as one of the main sources of new energy power generation in the power system will be further improved, which will contribute to the safe and stable operation of the traditional power system. posed serious challenges. First of all, the ra...

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): H02J3/00H02J3/24H02J3/28H02J3/38H02J3/46G06F17/15G06F17/18G06Q50/06
CPCH02J3/241H02J3/002H02J3/38H02J3/381H02J3/28H02J3/46H02J3/008G06F17/156G06F17/18G06Q50/06H02J2203/20H02J2203/10H02J2300/28Y02E10/76Y02E40/70Y02E70/30Y04S10/50
Inventor 贾燕冰石俊逸申炳基韩肖清陈润博
Owner TAIYUAN UNIV OF TECH
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