The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Feb. 04, 2020
Filed:
Dec. 06, 2016
Sherif Abdelmageed Abdelrazek, Charlotte, NC (US);
Sukumar Kamalasadan, Concord, NC (US);
Johan H. R. Enslin, Huntersville, NC (US);
Daniel Blair Sowder, Bainbridge Island, WA (US);
Sherif Abdelmageed Abdelrazek, Charlotte, NC (US);
Sukumar Kamalasadan, Concord, NC (US);
Johan H. R. Enslin, Huntersville, NC (US);
Daniel Blair Sowder, Bainbridge Island, WA (US);
UNIVERSITY OF NORTH CAROLINA AT CHARLOTTE, Charlotte, NC (US);
DUKE ENERGY CORPORATION, Charlotte, NC (US);
Abstract
An energy storage system controller, including: an energy storage system coupled to a power distribution system; and a processor in communication with the energy storage system, wherein the processor executes: a renewables capacity firming algorithm operable for conditioning intermittent power of a renewable energy station using real time and historical input data such that it is made more stable and non-intermittent, optionally utilizing one or more parameter values associated with comparable time periods taking into account one or more factors comprising cloud state; and a peak load shaving algorithm operable for ensuring that the energy storage system is capable of transmitting full power capacity at a predicted feeder peak load time determined by the processor from real time and historical input data; wherein the performance of the renewables capacity firming algorithm and the performance of the peak load shaving algorithm are optimized in parallel.