Real-time Frequency-based Corrective Control of Future Networks - FreCon
Lead Research Organisation:
University of Manchester
Department Name: Electrical and Electronic Engineering
Abstract
The ultimate objective of the proposed research is to create a wide-area intelligent system, that empowers the future power grids by providing critical and extensive synchronised information in real-time, assessing system vulnerability quickly, and performing timely corrective control actions based on system-wide considerations. The focus of this project will be on one of the most complex, and as yet unsolved, challenges incorporating measurement, control and protection aspects: the design of a new closed-loop coordinated corrective control scheme, which can be applied to eliminating frequency instabilities, cascading outages and catastrophic blackouts in networks.
Organisations
Publications
Radojevic Z
(2013)
Smart Overhead Lines Autoreclosure Algorithm Based on Detailed Fault Analysis
in IEEE Transactions on Smart Grid
Kirincic V.
(2013)
A hybrid state estimator with pseudo-flows and pseudo-injections
in International Review on Modelling and Simulations
Valverde G
(2012)
Probabilistic load flow with non-Gaussian correlated random variables using Gaussian mixture models
in IET Generation, Transmission & Distribution
Zheng T
(2012)
A New Algorithm to Avoid Maloperation of Transformer Differential Protection in Substations With an Inner Bridge Connection
in IEEE Transactions on Power Delivery
González-Longatt F.
(2012)
Impact of shaft stiffness on inertial response of fixed speed wind turbines
in Dianli Xitong Zidonghua/Automation of Electric Power Systems
Regulski P
(2012)
Estimation of Frequency and Fundamental Power Components Using an Unscented Kalman Filter
in IEEE Transactions on Instrumentation and Measurement
Alamuti M
(2012)
Intermittent Fault Location in Distribution Feeders
in IEEE Transactions on Power Delivery
Gonzalez-Longatt F
(2012)
Optimal Electric Network Design for a Large Offshore Wind Farm Based on a Modified Genetic Algorithm Approach
in IEEE Systems Journal
Valverde G
(2011)
Unscented Kalman filter for power system dynamic state estimation
in IET Generation, Transmission & Distribution
Description | It has been discovered that using GPS synchronization of different devices installed across a power system new solutions for power system blackout prevention and restoration can be developed. |
Exploitation Route | For development of new approaches for operation of future power systems. |
Sectors | Education Energy |
Description | The findings were a base for creation of new approaches for power system monitoring, protection and control, using GPS synchronized technology (the so called Synchronized Measurement Technology). New approaches for prevention of power system blackouts and restoration were developed. |
First Year Of Impact | 2010 |
Sector | Education,Energy |
Impact Types | Economic |