Title :
Rescheduling of real power for congestion management using Cuckoo Search Algorithm
Author :
Deb, S. ; Goswami, A.K.
Author_Institution :
Dept. of Electr. Eng., Mizoram Univ., Aizawl, India
Abstract :
This paper proposes a novel congestion management strategy by generator rescheduling in a deregulated electricity market. With growing electricity demands, power system is reaching towards its security limits where transmission lines play one of the vital rules in the system. Occurrence of transmission congestion can be avoided by one of the renowned technique i.e.; generator rescheduling technique. In this paper, Generator Sensitivity factor (GSF) is identified to select few generators to participate in congestion management problem. Next Cuckoo Search Algorithm (CSA) is used to minimize the rescheduling cost of generators. Present work is tested on IEEE 39 Bus New England Test System.
Keywords :
power generation scheduling; power markets; power system management; power transmission economics; power transmission lines; search problems; sensitivity analysis; CSA; Cuckoo search algorithm; GSF; IEEE 39 Bus New England test system; deregulated electricity market; generator rescheduling cost minimization; generator rescheduling technique; generator sensitivity factor; power system; real power rescheduling; transmission congestion management strategy; transmission lines; Birds; Generators; Heuristic algorithms; Load flow; Power system stability; Power transmission lines; Sensitivity; cuckoo search algorithm; generator rescheduling; generator sensitivity factor; optimization techniques; transmission congestion management;
Conference_Titel :
India Conference (INDICON), 2014 Annual IEEE
Conference_Location :
Pune
Print_ISBN :
978-1-4799-5362-2
DOI :
10.1109/INDICON.2014.7030383