Title :
Coordinated secondary voltage control to eliminate voltage violations in power system contingencies
Author :
Wang, Hai Feng ; Li, H. ; Chen, H.
Author_Institution :
Univ. of Bath, UK
fDate :
5/1/2003 12:00:00 AM
Abstract :
In order to achieve more efficient voltage regulation in a power system, coordinated secondary voltage control has been proposed, bringing in the extra benefit of enhancement of power system voltage stability margin. This paper investigates a new potential application of coordinated secondary voltage control by multiple FACTS voltage controllers in eliminating voltage violations in power system contingencies. The study is presented by the example New England ten-machine power system with two SVCs and two STATCOMs installed. The coordinated secondary voltage control is assigned to the SVCs and STATCOMs in order to eliminate voltage violations in system contingencies. In the paper, it is proposed that the secondary voltage control is implemented by a learning fuzzy logic controller. A key parameter of the controller is trained by P-type learning algorithm via offline simulation with the assistance of injection of artificial loads in controller´s adjacent locations. A multiagent collaboration protocol, which is graphically represented as a finite-state machine, is proposed in the paper for the coordination among multiple SVCs and STATCOMs. As an agent, each SVC or STATCOM can provide multilocation coverage to eliminate voltage violations at its adjacent nodes in the power system. Agents can provide collaborative support to each other which is coordinated according to the proposed collaboration protocol.
Keywords :
flexible AC transmission systems; fuzzy control; multi-agent systems; power system control; power system dynamic stability; static VAr compensators; voltage control; FACTS voltage controllers; New England ten-machine power system; P-type learning algorithm; STATCOM; SVC; artificial loads injection; coordinated secondary voltage control; finite-state machine; fuzzy logic controller; learning algorithm; multi-agent theory; multiagent collaboration protocol; multilocation coverage; offline simulation; power system voltage stability margin; static VAr compensators; voltage violations elimination; Automatic voltage control; Collaboration; Control systems; Fuzzy logic; Power system control; Power system stability; Power systems; Protocols; Static VAr compensators; Voltage control;
Journal_Title :
Power Systems, IEEE Transactions on
DOI :
10.1109/TPWRS.2003.810896