{
  "patent_number": "US 9985438",
  "country": "US",
  "title": "Optimizing Power for Remote Grids with Diesel, Wind, Solar, and Batteries",
  "original_title": "Optimization method for independent micro-grid system",
  "summary": "This patent describes a computer-based method for designing and operating independent power systems, called micro-grids, to balance cost, reliability, and environmental impact using a mix of diesel generators, wind turbines, solar panels, and energy storage batteries.",
  "what_it_does": "The patent outlines a method for optimizing an independent micro-grid system, which includes diesel generators, wind generators, a photovoltaic array, and an energy storage battery. It works by first gathering device parameters for all these components. Then, a computer system uses a multi-objective genetic algorithm to find the best setup. This algorithm considers three main goals: minimizing total cost over the system's lifetime, reducing the chance of power outages (loss of load capacity), and lowering pollution levels. The method also uses a 'quasi-steady state simulation strategy' with two modes: a 'hard charging strategy' where diesel generators can charge the battery, and a 'power smooth strategy' where the battery only helps when diesel alone isn't enough. For example, it calculates how many diesel generators are needed at any moment, considering the current power demand, available renewable energy, and the battery's charge/discharge limits (Claim 1).",
  "what_it_does_not_cover": [
    "Does not cover optimization methods that use algorithms other than a multi-objective genetic algorithm, specifically one based on NSGA-II.",
    "Does not cover micro-grid systems that rely on different primary energy sources, such as hydropower or geothermal, instead of the specified diesel, wind, and photovoltaic combination.",
    "Does not cover control strategies for energy storage batteries that do not include both a 'hard charging strategy' and a 'power smooth strategy' as defined.",
    "Does not cover systems that fail to account for a 'preset spare capacity' to ensure the micro-grid's stability.",
    "Does not cover optimization models that do not simultaneously consider the three specific objectives: total cost, loss of load capacity, and pollution level."
  ],
  "filed": "2013-10-14",
  "granted": "2018-05-29",
  "expires": "2033-10-14",
  "status": "active",
  "holder": "Electric Power Research Institute of State Grid Zhejiang Electric Power Co",
  "holder_url": "https://patentbrief.org/company/electric-power-research-institute-of-state-grid-zhejiang-electric-power-co",
  "inventors": [
    {
      "name": "Peng Li",
      "url": "https://patentbrief.org/inventor/peng-li"
    },
    {
      "name": "Jian Chen",
      "url": "https://patentbrief.org/inventor/jian-chen"
    },
    {
      "name": "Xiaohui GE",
      "url": "https://patentbrief.org/inventor/xiaohui-ge"
    },
    {
      "name": "Jinhui Zhou",
      "url": "https://patentbrief.org/inventor/jinhui-zhou"
    },
    {
      "name": "Xuesong Zhang",
      "url": "https://patentbrief.org/inventor/xuesong-zhang"
    },
    {
      "name": "Bo Zhao",
      "url": "https://patentbrief.org/inventor/bo-zhao"
    }
  ],
  "times_cited": 0,
  "tags": [
    "energy",
    "telecommunications",
    "software",
    "electrical_engineering"
  ],
  "abstract": "The present application discloses a method for optimized design of an independent micro-grid system, the independent micro-grid system comprising diesel generators, wind powered generators, a photovoltaic array, and an energy storage battery, the optimization method referring specifically to a multi-objective optimization design model based on the independent micro-grid system. In terms of the optimization planning design model, the method takes into account a combined start-up mode for a plurality of diesel generators and a control strategy for coordinating between the energy storage battery and the diesel generators, such that the usage rate of renewable energy in the independent micro-grid is higher, and operations more economical and environmentally friendly. Regarding the stability of the system optimization planning design model, the method takes into account the reserve capacity needed for stability of the independent micro-grid. In terms of the solving algorithm of the optimization planning design model, the method employs a multi-objective genetic algorithm based on NSGA-II to implement multi-objective problem-solving, thereby allowing a multi-objective optimization of the three major objectives of economy, reliability, and environmental friendliness of an independent micro-grid system.",
  "url": "https://patentbrief.org/patent/us/9985438/optimization-method-for-independent-micro-grid-system",
  "markdown_url": "https://patentbrief.org/patent/us/9985438/optimization-method-for-independent-micro-grid-system/md",
  "google_patents_url": "https://patents.google.com/patent/US9985438",
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