US 12,243,113 B2
Methods for online peak demand reduction of large load users with energy storage discharge
Minghua Chen, Hong Kong (CN); Si-Zhao Qin, Hong Kong (CN); Yanfang Mo, Hong Kong (CN); and Qiulin Lin, Hong Kong (CN)
Assigned to City University of Hong Kong, Hong Kong (CN)
Filed by City University of Hong Kong, Hong Kong (CN)
Filed on Feb. 7, 2022, as Appl. No. 17/650,089.
Prior Publication US 2023/0306532 A1, Sep. 28, 2023
Int. Cl. G06Q 50/06 (2024.01); H02J 3/14 (2006.01)
CPC G06Q 50/06 (2013.01) [H02J 3/144 (2020.01); H02J 2310/60 (2020.01)] 12 Claims
OG exemplary drawing
 
1. A computational method of real-time electrical energy storage management from an electricity storage device to maximise a reduction of a use of a mains electricity grid during peak cost charging periods on the mains electricity grid, the method including:
calculating, by a processor, an ideal offline use of the electricity storage device using ideal predicted parameters;
calculating a plurality of electrical storage device storage and electrical discharge models using a plurality of algorithms based on recorded data;
calculating a competitive ratio for each algorithm in the plurality of algorithms and the ideal offline use; and
using power from the electricity storage device based on an optimal competitive ratio, wherein the optimal competitive ratio is obtained by taking a maximum of an exponential number of linear-fractional programs and restricting a number of linear-fractional programs based on a specified number of time intervals T.