Restoration of Voltage Collapse in Electric Power Network by Using Hybrid Predictive Control Case Study: - On 230kV and 400kV Voltage level in Ethiopian Power Network
No Thumbnail Available
Date
2015
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Addis Ababa University
Abstract
Ethiopia power network systems have been disturbed by unanticipated disturbances from
time to time when numbers of consumers lose power supply at a very expensive cost.
System protection and emergency control to respond this power system instability play an
important role in our country power system operation. Driven by the industry need and
improper protection mechanism to alleviate the effect of disturbances on system
operation and improve power system security, this thesis uses a general framework for
system protection scheme based on Model Predictive Control.
Model Predictive Control (MPC) is implemented to apply system protection scheme. A
control strategy for maintaining voltage stability following the occurrence of an outage is
stated. The result of our control mechanism on voltage recovery is measured via
trajectory sensitivity. Our optimization means is mixed integer quadratic programming
based algorithm is presented to study the optimal coordination of the dissimilar controls
to advance voltage performance and effective use of control input following large
disturbances.
The developed algorithms are functional with MATLAB and Power System Analysis
Toolbox (PSAT) are joined and tested on the 30-bus of the 400kV and 230kV of the
modified Ethiopia power network system for preventing voltage collapse and the objective
of the algorithm is to attain its voltage level [0.95, 1.05 p.u] and filter out noise within the given
prediction horizon.
Key Words: - Coordinated voltage control, model predictive control, trajectory sensitivity,
power system.
Description
Keywords
Coordinated voltage control; model predictive control; trajectory sensitivity;power system