{
  "$type": "site.standard.document",
  "description": "Provided are a method for coordinated dispatch of hybrid energy storage systems to adapt to peak loads in extreme scenarios, and a device. The method includes: generating an extreme scenario set; generating an uncertainty set of extreme scenarios; generating an aggregated model for a hybrid energy…",
  "path": "/patents/1426834",
  "publishedAt": "2026-06-25T00:00:00.000Z",
  "site": "at://did:plc:oql6ds5vnff4ugar6rruliwd/site.standard.publication/3mn3ohu7oxx5w",
  "tags": [
    "H02J3/28",
    "North China Electric Power University"
  ],
  "textContent": "Provided are a method for coordinated dispatch of hybrid energy storage systems to adapt to peak loads in extreme scenarios, and a device. The method includes: generating an extreme scenario set; generating an uncertainty set of extreme scenarios; generating an aggregated model for a hybrid energy storage power station; constructing an intra-region robust optimization model for wind-photovoltaic-thermal-energy storage based on the aggregated model for the hybrid energy storage power station and the uncertainty set of extreme scenarios, and solving the intra-region robust optimization model for wind-photovoltaic-thermal-energy storage using a Black-winged Kite Algorithm (BKA) to obtain a charging and discharging power of the hybrid energy storage power station; and generating an internal coordinated dispatch plan for the hybrid energy storage power station using a niche-based gradient-directed evolution algorithm and a dispatch plan prediction model according to the charging and discharging power of the hybrid energy storage power station.",
  "title": "METHOD FOR COORDINATED DISPATCH OF HYBRID ENERGY STORAGE SYSTEMS TO ADAPT TO PEAK LOADS IN EXTREME SCENARIOS, AND DEVICE"
}