Open AccessReactive power optimization of dynamic power system based on QPSO algorithm
Author(s) -
Dong Ang,
Xin Song
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/480/1/012012
Subject(s) - ac power , line (geometry) , power (physics) , electric power system , computer science , power loss , tie line , control theory (sociology) , optimization algorithm , mathematical optimization , control (management) , mathematics , physics , geometry , quantum mechanics , artificial intelligence
During the operation of the power system, there is a certain loss when electrical energy transmitting through the line, The losses in the line are usually dominated by active network losses. The current research mainly uses reactive power optimization to reduce the reactive power loss in the system. Traditional reactive power optimization is optimized for a certain static time, and the state of the equipment in the line does not change, which is meaningless for actual engineering.A full-text optimization model is established for the purpose of reducing active network loss. The QPSO algorithm is used to dynamically optimize the load of a certain place for different periods of time. Based on the optimization results, we control the the operating status to reduce the active network loss in the line.