Optimizing Hybrid Batteries for Grid-Connected Wind Power Systems
This patent describes a detailed method to figure out the best size and type of hybrid energy storage systems for wind farms connected to the power grid, aiming to cut costs and reliably deliver power.
Original patent title: “Optimal configuration method for hybrid energy storage of grid-connected wind storage power generation system”
This patent describes a detailed method to figure out the best size and type of hybrid energy storage systems for wind farms connected to the power grid, aiming to cut costs and reliably deliver power. Granted to Tianjin University in 2024 with 9 claims, and it is expected to expire in 2041.
Coverage
What does this patent actually cover?
This method helps wind farms decide the best way to combine different energy storage technologies, like batteries and supercapacitors, when connected to the main power grid. First, it analyzes past wind power data by breaking it down into fast and slow changes (frequency domain decomposition) to determine the storage system's initial power rating (ClaimclaimA numbered sentence at the end of a patent that legally defines what the inventor owns. The most important section.Read more → 1). Next, it creates a mathematical model that considers the entire lifespan of the wind farm, aiming to both minimize the total cost over time and maximize how consistently the farm can meet its power delivery goals (Claim 1). The method groups typical daily wind patterns using a clustering algorithm to feed into this model (Claim 1). Finally, a multi-objective optimization algorithm solves this model to find the ideal mix and size of energy storage components, which then guides how the wind power system operates (Claim 1). For example, it could determine that a wind farm needs a 10 MWh battery for slow energy shifts and a 2 MW supercapacitor for rapid power fluctuations, ensuring stable grid supply while minimizing replacement costs over 20 years.
The gap
What does this patent NOT cover?
- Does not cover optimal configuration methods for energy storage systems that are not connected to a power grid.
- Does not cover energy storage optimization for power generation systems other than wind, such as solar or hydroelectric.
- Does not cover methods that determine energy storage capacity without first performing frequency domain decomposition on historical power output.
- Does not cover optimization models that do not simultaneously minimize annual cost and maximize a target satisfaction rate of output.
- Does not cover simple sizing calculations for energy storage that do not involve a multi-objective optimization algorithm for a full life cycle.
These exclusions are unique to PatentBrief — derived from the actual claim language, not patent-office boilerplate.
Key facts
What made this novel
The cleverness lies in combining detailed analysis of wind power's fast and slow changes with a sophisticated optimization model that balances long-term costs and consistent power delivery across the entire lifespan of a wind farm. This ensures the hybrid storage system is perfectly tailored to handle wind's variability efficiently.
The Patent Drawing
Schematic visualization of the patent's claim structure. Hand-drawn diagrams in progress for each landmark patent.
Where you've seen this
Real-world examples
Large-scale wind farms integrating battery energy storage systems (BESS)
Grid operators planning for increased renewable energy penetration
Hybrid energy storage projects combining batteries and supercapacitors
Microgrid systems that incorporate wind power and grid connection
Why it matters
The bigger picture
Wind power is a clean energy source, but its output can fluctuate, making it challenging to integrate reliably into the power grid. This patent provides a systematic way to size and configure hybrid energy storage, which can smooth out these fluctuations. By doing so, it helps make wind farms more reliable and cost-effective, which is crucial for increasing the amount of renewable energy on the grid and ensuring stable power delivery to homes and businesses.
Filed
July 28, 2021
Granted
January 2, 2024
Market context
Who's building on this
Companies in this space
Companies involved in renewable energy development, such as Ørsted, NextEra Energy, and Vestas, are continuously working on integrating energy storage with wind farms. Grid operators like National Grid and utility companies are also focused on optimizing these systems for grid stability. Battery manufacturers and energy management software providers are key players in implementing such optimization strategies.
Market impact
This type of optimization method directly impacts the economic viability and grid integration of wind power. By minimizing costs and maximizing output reliability, it makes wind energy more competitive and easier for grid operators to manage. This can accelerate the deployment of large-scale wind projects and reduce the need for fossil fuel-based backup power, contributing to a more sustainable energy market.
Claim 1 — Plain English
What this patent covers
This method helps wind farms decide the best way to combine different energy storage technologies, like batteries and supercapacitors, when connected to the main power grid. First, it analyzes past wind power data by breaking it down into fast and slow changes (frequency domain decomposition) to determine the storage system's initial power rating (Claim 1). Next, it creates a mathematical model that considers the entire lifespan of the wind farm, aiming to both minimize the total cost over time and maximize how consistently the farm can meet its power delivery goals (Claim 1). The method groups typical daily wind patterns using a clustering algorithm to feed into this model (Claim 1). Finally, a multi-objective optimization algorithm solves this model to find the ideal mix and size of energy storage components, which then guides how the wind power system operates (Claim 1). For example, it could determine that a wind farm needs a 10 MWh battery for slow energy shifts and a 2 MW supercapacitor for rapid power fluctuations, ensuring stable grid supply while minimizing replacement costs over 20 years.
The clever bit
The cleverness lies in combining detailed analysis of wind power's fast and slow changes with a sophisticated optimization model that balances long-term costs and consistent power delivery across the entire lifespan of a wind farm. This ensures the hybrid storage system is perfectly tailored to handle wind's variability efficiently.
What it does not cover
- Does not cover optimal configuration methods for energy storage systems that are not connected to a power grid.
- Does not cover energy storage optimization for power generation systems other than wind, such as solar or hydroelectric.
- Does not cover methods that determine energy storage capacity without first performing frequency domain decomposition on historical power output.
- Does not cover optimization models that do not simultaneously minimize annual cost and maximize a target satisfaction rate of output.
- Does not cover simple sizing calculations for energy storage that do not involve a multi-objective optimization algorithm for a full life cycle.
Patent timeline
Application submitted to the patent office
Application published, typically 18 months after filing
Patent officially issued
Patent enters public domain
PatentBrief Score
Impact Score
Early stage
Citation count
0/40
No citations yet
Claim breadth
6/20
Moderate scope
Recency
20/20
Granted within 5 years
Assignee scale
0/20
Independent or smaller assigneeassigneeThe entity that owns the patent — usually the inventor's employer or a company.Read more →
PatentBrief Impact Score — based on citation count, claim breadth, recency, and assignee scale. Not a legal assessment.
Heuristic Value Estimate
What this patent might be worth
$21K – $67K
Midpoint $42K · 14.8 yr remaining · industry ×1.4
Heuristic only — blends forward/backward citation counts, claim scope, time remaining, litigation history, and CPC-derived industry baseline. Real valuations need a professional appraisal.
Claim text not yet imported for this patent
The original legal language
Original claims
9 claims as filed with the patent office.
Concepts involved
Citations
Patent lineage
Cite this patent
PANG, X., Ma, C., & Du, R. (2024). Optimizing Hybrid Batteries for Grid-Connected Wind Power Systems (U.S. Patent No. 11,862,969). U.S. Patent and Trademark Office. https://patentbrief.org/patent/us/11862969/optimal-configuration-method-for-hybrid-energy-storage-of-grid-connected-wind-st
Auto-generated from the patent record. Double-check author order and the issue date against the official USPTO document before submitting.
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Common Questions
Frequently Asked Questions
What does Optimizing Hybrid Batteries for Grid-Connected Wind Power Systems cover?
This patent describes a detailed method to figure out the best size and type of hybrid energy storage systems for wind farms connected to the power grid, aiming to cut costs and reliably deliver power.
Who owns patent US 11862969?
Tianjin University owns this patent, granted in 2024.
When does this patent expire?
This patent is expected to expire on July 28, 2041, when the invention enters the public domain.
What problem does this patent solve?
Wind power is a clean energy source, but its output can fluctuate, making it challenging to integrate reliably into the power grid. This patent provides a systematic way to size and configure hybrid energy storage, which can smooth out these fluctuations. By doing so, it helps make wind farms more reliable and cost-effective, which is crucial for increasing the amount of renewable energy on the grid and ensuring stable power delivery to homes and businesses.
What does this patent NOT cover?
Does not cover optimal configuration methods for energy storage systems that are not connected to a power grid.
Patent monitoring