Open AccessFruit fly algorithm‐based automatic generation control of multiarea interconnected power system with FACTS and AC/DC links in deregulated power environment
Author(s) -
Shankar Ravi,
Kumar Ashiwani,
Raj Utkarsh,
Chatterjee Kalyan
Publication year - 2019
Publication title -
international transactions on electrical energy systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.428
H-Index - 42
ISSN - 2050-7038
DOI - 10.1002/etep.2690
Subject(s) - automatic generation control , control theory (sociology) , electric power system , controller (irrigation) , unified power flow controller , governor , economic dispatch , control engineering , engineering , constraint (computer aided design) , tie line , power (physics) , automatic frequency control , computer science , control (management) , power flow , electrical engineering , mechanical engineering , physics , quantum mechanics , artificial intelligence , agronomy , biology , aerospace engineering
Summary This paper focuses on automatic generation control (AGC) in deregulated environment for the multiarea interconnected power system. Each area consists of different kind of generating sources like thermal, hydro, and gas, each having different characteristics with physical constraint likes governor dead band and generation rate constraint. Loads are divided among different generator using the concept of economic load dispatch. The AC/DC links has been installed in all areas as well as unified power flow controller (UPFC) in tie lines to mitigate the effect of oscillation and to improve the system response. Thus, a more systematic and synchronized control of AGC with UPFC and AC/DC links has been proposed. Small signal stability of each area has been analyzed for finding out the oscillation states of the studied system. The proposed controller is optimized through Fruit Fly Algorithm, and its promising results reveal that the proposed controller is more efficient and effective in all different power transaction modes of restructured scenario.