{
  "patent_number": "US 11862969",
  "country": "US",
  "title": "Optimizing Hybrid Batteries for Grid-Connected Wind Power Systems",
  "original_title": "Optimal configuration method for hybrid energy storage of grid-connected wind storage power generation system",
  "summary": "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.",
  "what_it_does": "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.",
  "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."
  ],
  "filed": "2021-07-28",
  "granted": "2024-01-02",
  "expires": "2041-07-28",
  "status": "active",
  "holder": "Tianjin University",
  "holder_url": "https://patentbrief.org/company/tianjin-university",
  "inventors": [
    {
      "name": "Xiulan PANG",
      "url": "https://patentbrief.org/inventor/xiulan-pang"
    },
    {
      "name": "Chao Ma",
      "url": "https://patentbrief.org/inventor/chao-ma"
    },
    {
      "name": "Rui Du",
      "url": "https://patentbrief.org/inventor/rui-du"
    }
  ],
  "times_cited": 0,
  "tags": [
    "energy",
    "renewable_energy",
    "telecommunications",
    "software",
    "ai_ml"
  ],
  "abstract": "An optimal configuration method for a hybrid energy storage of a grid-connected wind storage power generation system is provided, including: performing a frequency domain decomposition on a historical wind power output, to count high-frequency and low-frequency components of the historical wind power output, and determining a rated power of the hybrid energy storage based on a probability distribution function; establishing a hybrid energy storage capacity optimization model for a full life cycle of a wind farm to minimize a net present value of an annual cost and maximize a target satisfaction rate of an output; extracting a daily typical scenario for the wind power output based on a clustering algorithm to count a time proportion of each typical scenario as an input scenario of the hybrid energy storage capacity optimization model for the full life cycle of the wind farm; and solving with a multi-objective optimization algorithm, to obtain an optimal hybrid energy storage capacity configuration scheme for the grid-connected wind storage power generation system. By optimizing a distribution of the high- and low-frequency fluctuation components between the hybrid energy storage, a battery life is extended while a fluctuation smoothing effect is effectively improved.",
  "url": "https://patentbrief.org/patent/us/11862969/optimal-configuration-method-for-hybrid-energy-storage-of-grid-connected-wind-st",
  "markdown_url": "https://patentbrief.org/patent/us/11862969/optimal-configuration-method-for-hybrid-energy-storage-of-grid-connected-wind-st/md",
  "google_patents_url": "https://patents.google.com/patent/US11862969",
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}