Exelon has been granted a patent for methods and systems that determine the hosting capacity of a distribution grid. The approach utilizes optimization models to assess grid topology and performance parameters, ultimately calculating the maximum capacity for distributed generators while ensuring compliance with specified performance standards. GlobalData’s report on Exelon gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on Exelon, was a key innovation area identified from patents. Exelon's grant share as of June 2024 was 75%. Grant share is based on the ratio of number of grants to total number of patents.
Determining hosting capacity for distributed generators in grids
The patent US12003102B2 outlines a method and apparatus for optimizing the integration of distributed generators within a radial distribution grid. The process begins with the identification of the grid's topology, which includes multiple distribution buses and distributed generators. Based on this topology, a set of performance parameters is established. The method then involves determining voltage magnitude and phase angle deviations at a point of interest, which is typically adjacent to a substation. These deviations are used to calculate real and reactive power flows, leading to the development of a lossless power flow model. This model is crucial for assessing the maximum hosting capacity of the grid, which informs the optimal number of distributed generators that can be accommodated without compromising performance parameters.
Furthermore, the patent details the steps for determining the optimal placement of these generators at specific distribution bus locations. The method includes calculating the maximum hosting capacity for each bus and aggregating these values to understand the overall capacity of the grid. The performance parameters considered include predetermined electrical loads and voltage magnitudes. The distributed generators can be various types, such as solar photovoltaic panels, wind turbines, or diesel generators. This systematic approach aims to enhance the efficiency and reliability of power distribution while accommodating renewable energy sources effectively.
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