Patents Assigned to Operation Technology, Inc.
  • Patent number: 12244141
    Abstract: Provided are embodiments of systems, devices and methods for improved optimization of FHC using a swarm optimization based intelligent scenario selection from local search (small step) and global search (large step) experiences for faster and better FHC.
    Type: Grant
    Filed: April 27, 2021
    Date of Patent: March 4, 2025
    Assignee: OPERATION TECHNOLOGY, INC.
    Inventors: Ahmed Saber, Tanuj Khandelwal
  • Patent number: 12074940
    Abstract: Provided herein are embodiments of systems, devices, and methods for a digital collaborative system for electric, water and gas engineering and operations. The systems, devices, and methods include an automatic and intelligent synchronization of simultaneous and parallel project or digital twin modifications between multiple users in a collaborative environment that integrates utility engineering and operation teams.
    Type: Grant
    Filed: September 3, 2021
    Date of Patent: August 27, 2024
    Assignee: OPERATION TECHNOLOGY, INC.
    Inventors: Farrokh Shokooh, Tanuj Khandelwal, Shervin Shokooh
  • Patent number: 9875324
    Abstract: Systems and methods are provided for simulating fraction power and control in transportation systems under design conditions and/or utilizing real-time data.
    Type: Grant
    Filed: August 15, 2014
    Date of Patent: January 23, 2018
    Assignee: OPERATION TECHNOLOGY, INC.
    Inventors: Farrokh Shokooh, Tanuj Khandelwal
  • Patent number: 9864820
    Abstract: Generator dynamic model parameter estimation and tuning using online data and subspace state space models are disclosed. According to one embodiment, a system comprises a sensor, a data acquisition network in communication with the sensor; a user console and an identification and tuning engine in communication with the data acquisition network, the user console, and a database. The database comprises one or more generator models, and the identification and tuning engine identifies and tunes parameters associated with a selected generator model.
    Type: Grant
    Filed: October 3, 2013
    Date of Patent: January 9, 2018
    Assignee: OPERATION TECHNOLOGY, INC.
    Inventors: Farrokh Shokooh, Tanuj Khandelwal, Ahmed Yousuf Saber, J. J. Dai
  • Patent number: 9705329
    Abstract: A power control system utilizing real-time power system operating data to effectuate predictive load shedding so as to accurately predict the need for and the optimal type of responsive action to a contingency—before the contingency actually occurs.
    Type: Grant
    Filed: July 1, 2013
    Date of Patent: July 11, 2017
    Assignee: OPERATION TECHNOLOGY, INC.
    Inventor: Tanuj Khandelwal
  • Patent number: 9645558
    Abstract: Dynamic parameter tuning using particle swarm optimization is disclosed. According to one embodiment, a system for dynamically tuning parameters comprising a control unit; and a system for receiving parameters tuned by the control unit. The control unit receives as input a model selection and definitions, and dynamically tunes a value for each parameter by using a modified particle swarm optimization method. The modified particle swarm optimization method comprises moving particle locations based on a particle's inertia, experience, global knowledge, and a tuning factor. The control unit outputs the dynamically tuned value for each parameter.
    Type: Grant
    Filed: September 30, 2013
    Date of Patent: May 9, 2017
    Assignee: OPERATION TECHNOLOGY, INC.
    Inventors: Farrokh Shokooh, Ahmed Yousuf Saber
  • Publication number: 20150100282
    Abstract: Generator dynamic model parameter estimation and tuning using online data and subspace state space models are disclosed. According to one embodiment, a system comprises a sensor, a data acquisition network in communication with the sensor; a user console and an identification and tuning engine in communication with the data acquisition network, the user console, and a database. The database comprises one or more generator models, and the identification and tuning engine identifies and tunes parameters associated with a selected generator model.
    Type: Application
    Filed: October 3, 2013
    Publication date: April 9, 2015
    Applicant: OPERATION TECHNOLOGY, INC.
    Inventors: Farrokh Shokooh, Tanuj Khandelwal, Ahmed Yousuf Saber, J.J. Dai
  • Publication number: 20140172125
    Abstract: Dynamic parameter tuning using particle swarm optimization is disclosed. According to one embodiment, a system for dynamically tuning parameters comprising a control unit; and a system for receiving parameters tuned by the control unit. The control unit receives as input a model selection and definitions, and dynamically tunes a value for each parameter by using a modified particle swarm optimization method. The modified particle swarm optimization method comprises moving particle locations based on a particle's inertia, experience, global knowledge, and a tuning factor. The control unit outputs the dynamically tuned value for each parameter.
    Type: Application
    Filed: September 30, 2013
    Publication date: June 19, 2014
    Applicant: Operation Technology, Inc.
    Inventors: Farrokh Shokooh, Ahmed Yousuf Saber