Title :
Mitigation of congestion by generator rescheduling using Particle Swarm Optimization
Author :
Deb, Sujay ; Goswami, Arup K.
Author_Institution :
Dept. of Electr. Eng., Nat. Inst. of Technol., Silchar, India
Abstract :
In a deregulated electricity market, transmission congestion results in break system security and increase system cost. Congestion in the transmission lines is one of the technical problems that appear particularly in the deregulated environment. One of the important tasks of Independent System Operator (ISO) is congestion free power system in a deregulated era. Generator rescheduling is one of the techniques adopted by ISO to mitigate transmission congestion in a deregulated electricity market. Rescheduling is done in an Optimal Power Flow (OPF) framework to minimize the overall congestion relief cost. Firstly, generators are chosen based on their generator sensitivity factor (GSF). Secondly, Particle Swarm Optimization is used for rescheduling those selected generators. The proposed algorithm is applied on IEEE 39 Bus New England test system.
Keywords :
IEEE standards; ISO standards; costing; load flow; particle swarm optimisation; power generation economics; power generation scheduling; power markets; power system security; power transmission economics; power transmission lines; GSF; IEEE 39 Bus New England test system; ISO; Independent System Operator; OPF; electricity market deregulation; generator rescheduling; generator sensitivity factor; optimal power flow framework; particle swarm optimization; system cost; system security; transmission line congestion mitigation; Generator sensitivity factor; generator rescheduling; optimization techniques; particle swarm optimization; transmission congestion management;
Conference_Titel :
Power and Energy in NERIST (ICPEN), 2012 1st International Conference on
Conference_Location :
Nirjuli
Print_ISBN :
978-1-4673-1667-5
DOI :
10.1109/ICPEN.2012.6492332
