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

Wind power plant energy storage capacity configuration method considering battery operation state

A technology of energy storage capacity and operating state, applied in battery circuit devices, circuit devices, current collectors, etc., can solve the problems of unbalanced charging and discharging energy of battery packs, unbalanced state of research, and large gap in dischargeable capacity. , to achieve a good service life and unbalanced state, improve unbalanced state, and optimize the cost of energy storage

Active Publication Date: 2022-07-22
NANJING INST OF TECH
View PDF3 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003]According to the existing research, in the scenario of battery group control for wind power smoothing, it is easy to have the problem of battery charge and discharge energy imbalance. In this case, when two groups of batteries perform charging and discharging tasks independently, there is a large gap between the chargeable capacity of the battery pack responsible for charging and the dischargeable capacity of the battery pack responsible for discharging, which is the problem of energy imbalance between charge and discharge.
Most of the current research on this problem is to improve the research from the perspective of the control strategy of the battery group, and there is no research that considers the unbalanced state of the battery group control in the energy storage configuration.

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
  • Wind power plant energy storage capacity configuration method considering battery operation state
  • Wind power plant energy storage capacity configuration method considering battery operation state
  • Wind power plant energy storage capacity configuration method considering battery operation state

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0139] A specific example is provided below to further illustrate the control effect of the method for configuring the energy storage capacity of a wind farm considering the battery operating state provided by the present invention.

[0140] This example takes a typical day of a 30MW wind farm as an example for simulation. The topology of the combined wind-storage system is as follows figure 1 The basic parameters of the wind storage system are shown in Table 1:

[0141] Wind farm capacity 30MW Annual operation and maintenance cost per unit capacity 10¥ / kWh Charge and discharge efficiency 95%,95% Annual operation and maintenance cost per unit power 90¥ / kW adoption cycle 40ms Rated depth of discharge 1 Lithium iron phosphate battery cost 1085¥ / kWh Feed-in tariff 0.6¥ / kWh Converter cost 3224¥ / kW discount rate 5%

[0142] Table 1 Basic parameters of the wind storage system adopted by the wind farm energy storage capacit...

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 wind power plant energy storage capacity configuration method considering a battery operation state, an energy storage system is connected in parallel at an outlet of a wind power plant, and the energy storage system at least comprises a group of battery packs arranged in parallel in pairs, a matched energy management system and a converter connected in series with the battery packs in pairs; the configuration method comprises the following specific steps: constructing a multi-objective optimization model of energy storage system capacity configuration, which comprises an energy storage comprehensive cost model, an energy storage life evaluation model and an energy storage unbalance degree optimization model, in a scene that a battery pack group controls smooth wind power; determining constraint conditions of energy storage capacity and converter power; and solving by adopting a particle swarm algorithm. According to the energy storage capacity configuration method established by the invention, the capacity configuration optimization target is established based on the attenuation index reflecting the unbalanced state, and meanwhile, important factors such as life evaluation and comprehensive cost are considered, and the energy storage capacity configured by the method has effectiveness and superiority in the aspects of cost, service life, battery unbalanced state and the like.

Description

technical field [0001] The invention relates to the technical field of grid connection of wind farms, in particular to the technical field of energy storage capacity configuration in a scenario where batteries are grouped to control wind power smoothing, in particular to a wind farm energy storage capacity configuration method that considers battery operation status. Background technique [0002] In recent years, with the continuous expansion of wind power installed capacity and the continuous improvement of wind power penetration, the adverse impact of wind power fluctuations on the power grid has become more and more significant, seriously interfering with the safe and stable operation of the power grid. At present, there are various strategies to deal with the power fluctuation of wind power. In addition to relying on the wind turbine itself for adjustment, energy storage can also be used to smooth the wind power. The common ones are single energy storage smoothing, hybrid...

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): H02J7/00H02J3/32H02J3/38G06F30/27G06N3/00G06F111/06G06F113/06G06F119/04
CPCH02J7/0014H02J7/0025H02J7/0029H02J3/32H02J3/38G06F30/27G06N3/006H02J2300/28H02J2203/20G06F2111/06G06F2113/06G06F2119/04Y02E70/30
Inventor 张小莲陈冲曾艾东武启川孙啊传覃世球
Owner NANJING INST 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