Title :
Adaptive Coordinated Voltage Control—Part II: Use of Learning for Rapid Response
Author :
Haomin Ma ; Hill, David J.
Author_Institution :
Ind. Training Centre, Shenzhen Polytech., Shenzhen, China
Abstract :
This is the second part of a two-part paper on a new adaptive coordinated voltage control (ACVC) strategy. The overall basic scheme and the online control for prepared faults have been presented in Part I. In this paper, learning control is explored to accumulate knowledge, so that the online control performances can be improved for unknown emergencies. For unknown situations where no past experiences can be exploited, a learning scheme is used by which the control knowledge can be acquired gradually. The learnt knowledge goes into the database and is improved the next time a related situation happens. After full knowledge is acquired, the unknown fault becomes a prepared fault with prepared knowledge. With the learning scheme, control for any emergency can be realized in a rapid and effective response. The learning process is demonstrated by providing control for an unknown emergency in the New England 39-bus power system. The ACVC performance for a sequence of randomly generated fault and load event emergencies is presented at the end of this paper.
Keywords :
adaptive control; electrical faults; iterative methods; learning systems; voltage control; ACVC strategy; New England 39-bus power system; adaptive coordinated voltage control; database; fault; learning control; load event emergencies; online control performance; Aerospace electronics; Control systems; Databases; Generators; Power systems; System performance; Voltage control; Adaptive control; coordinated voltage control; learning control; model predictive control; multi-objective optimization;
Journal_Title :
Power Systems, IEEE Transactions on
DOI :
10.1109/TPWRS.2013.2293572