Method and System for Dynamic Stochastic Optimal Electric Power Flow Control

Patent №

US 9,507,367

Granted

2016-11-29

Filed 2013

Owner

CLEMSON UNIVERSITY

+2 more

Lab

AI components

2

ml · planning

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

13859242

A dynamic stochastic optimal power flow (DSOPF) control system is described for performing multi-objective optimal control capability in complex electrical power systems. The DSOPF system and method replaces the traditional adaptive critic designs (ACDs) and secondary voltage control, and provides a coordinated AC power flow control solution to the smart grid operation in an environment with high short-term uncertainty and variability. The DSOPF system and method is used to provide nonlinear optimal control, where the control objective is explicitly formulated to incorporate power system economy, stability and security considerations. The system and method dynamically drives a power system to its optimal operating point by continuously adjusting the steady-state set points sent by a traditional optimal power flow algorithm.

AI classification

Planning1.00
Machine learning0.98
Knowledge representation0.37
Evolutionary computation0.04
AI hardware0.01
Natural language0.00
Vision0.00
Speech0.00

Ownership

CLEMSON UNIVERSITY

assignment · 305620610

GEORGIA TECH RESEARCH CORPORATION

assignment · 305620620

THE CURATORS OF THE UNIVERSITY OF MISSOURI

assignment · 380990769

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