公开(公告)号：US20180081327A1

公开(公告)日：2018-03-22

申请号：US15475065

申请日：2017-03-30

Applicant: OPERATION TECHNOLOGY, INC.

Inventor： Farrokh Shokooh ,  Ahmed Yousuf Saber

IPC: G05B13/04

CPC classification number: G05B13/04

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.

公开(公告)号：US09875324B2

公开(公告)日：2018-01-23

申请号：US14461356

申请日：2014-08-15

Applicant: OPERATION TECHNOLOGY, INC.

Inventor： Farrokh Shokooh ,  Tanuj Khandelwal

IPC: G06F17/50

CPC classification number: G06F17/5009 ,  G06F17/5095 ,  G06F2217/78

Abstract: Systems and methods are provided for simulating fraction power and control in transportation systems under design conditions and/or utilizing real-time data.

公开(公告)号：US20140172125A1

公开(公告)日：2014-06-19

申请号：US14042539

申请日：2013-09-30

Applicant: Operation Technology, Inc.

Inventor： Farrokh Shokooh ,  Ahmed Yousuf Saber

IPC: G05B13/04

CPC classification number: G05B13/04

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.

Abstract translation: 公开了使用粒子群优化的动态参数调整。 根据一个实施例，一种用于动态调整包括控制单元的参数的系统; 以及用于接收由控制单元调谐的参数的系统。 控制单元作为输入接收模型选择和定义，并通过使用修改的粒子群优化方法动态调整每个参数的值。 改进的粒子群优化方法包括基于粒子的惯性，经验，全局知识和调谐因子来移动粒子位置。 控制单元输出每个参数的动态调整值。

公开(公告)号：US20230266722A1

公开(公告)日：2023-08-24

申请号：US18107366

申请日：2023-02-08

Applicant: OPERATION TECHNOLOGY, INC.

Inventor： Farrokh Shokooh ,  Ahmed Yousuf Saber

IPC: G05B13/04

CPC classification number: G05B13/04

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.

公开(公告)号：US20220140611A1

公开(公告)日：2022-05-05

申请号：US17493444

申请日：2021-10-04

Applicant: OPERATION TECHNOLOGY, INC.

Inventor： Fabian Marcel Uriarte ,  Mohammad Reza Dadash Zadeh

IPC: H02J3/38 ,  H02J13/00

Abstract: Provided herein are embodiments of systems, devices, and methods for a multi-mode, cross-platform design environment to deploy and monitor microgrid controllers rapidly, safely, and inexpensively. A multi-mode environment may run offline, real-time, and live. A cross-platform environment may run on different operating systems and environments. A design system may allow users (e.g., engineers, managers) to design, test, deploy, tune, and monitor microgrid controllers before and after deployment.

公开(公告)号：US09864820B2

公开(公告)日：2018-01-09

申请号：US14045757

申请日：2013-10-03

Applicant: OPERATION TECHNOLOGY, INC.

Inventor： Farrokh Shokooh ,  Tanuj Khandelwal ,  Ahmed Yousuf Saber ,  J. J. Dai

IPC: G06G7/48 ,  G06F17/50

CPC classification number: G06F17/5009

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.

公开(公告)号：US12074940B2

公开(公告)日：2024-08-27

申请号：US17466846

申请日：2021-09-03

Applicant: OPERATION TECHNOLOGY, INC.

Inventor： Farrokh Shokooh ,  Tanuj Khandelwal ,  Shervin Shokooh

IPC: H04L67/1095 ,  G06F16/27 ,  G06Q10/101

CPC classification number: H04L67/1095 ,  G06F16/27 ,  G06Q10/101

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.

公开(公告)号：US20230335991A1

公开(公告)日：2023-10-19

申请号：US18120930

申请日：2023-03-13

Applicant: OPERATION TECHNOLOGY, INC.

Inventor： Farrokh Shokooh ,  Tanuj Khandelwal

IPC: H02J3/14 ,  H02J13/00

CPC classification number: H02J3/14 ,  H02J13/00004 ,  Y02B70/3225 ,  Y04S20/222 ,  H02J13/00009 ,  H02J2203/20

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.

公开(公告)号：US20230297744A1

公开(公告)日：2023-09-21

申请号：US18108600

申请日：2023-02-11

Applicant: OPERATION TECHNOLOGY, INC.

Inventor： Tanuj Khandelwal ,  Ahmed Saber ,  Shaikh Sahid Hossain

IPC: G06F30/27 ,  G06F30/367

CPC classification number: G06F30/27 ,  G06F30/367 ,  G06F2119/02

Abstract: Some embodiments relate to systems and methods for analyzing an electrical network. For example, a system for analyzing an electrical network may include a memory and a processor, coupled to the memory. The processor is configured to execute instructions from the memory causing the processor to: perform power system studies to improve system reliability and security using historical data of past power system operations, derive a data model of the power system using artificial intelligence, and using the data model and training with the power system analysis data to conduct analyses for predicting at least one of system behavior and forecasting applications, and report the at least one of system behavior and forecasting applications.

公开(公告)号：US20230289495A1

公开(公告)日：2023-09-14

申请号：US18119803

申请日：2023-03-09

Applicant: OPERATION TECHNOLOGY, INC.

Inventor： Farrokh Shokooh ,  Tanuj Khandelwal ,  Ahmed Yousuf Saber ,  J.J. Dai

IPC: G06F30/20

CPC classification number: G06F30/20

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.