Patent · US Active

Moving linear regression based power firming filter

US11411533B1 · kind B1 · utility

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16Claims

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Assignee

KING FAHD UNIVERSITY OF PETROLEUM AND MINERALS · SA

Inventors

Muhammad Khalid · Dhahran, SA
Miswar Akhtar Syed · Dhahran, SA

Key dates

Filing date	Apr 5, 2022
Grant date	Aug 9, 2022
Priority date	—
Expiry date	Apr 5, 2042

Classification

Technology area (CPC Y)Emerging Cross-Sectional Technologies
CPC primaryY02E10/56
WIPO fieldElectrical machinery, apparatus, energy
WIPO sectorElectrical engineering

Abstract

A system, method, and solar photovoltaic (PV) network for solar PV variability reduction with reduced time delays and battery storage optimization are described. The system includes a Moving Regression (MR) filter; a State of Charge (SoC) feedback control; and a Battery Energy Storage System (BESS). The MR filter, SoC feedback control and BESS are configured to provide smoothing of solar PV variabilities. The MR filter is a non-parametric smoother that utilizes a machine learning concept of linear regression to smooth out solar PV variations at every time step.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.