DocumentCode :
3574433
Title :
Simultaneous placement and sizing of renewable DGs and capacitor banks in distribution network
Author :
Kayal, Partha ; Ashish, Tanmay ; Chanda, Chandan Kumar
Author_Institution :
Dept. of Electr. Eng., F.I. Eng. & Manage., Kolkata, India
fYear :
2014
Firstpage :
607
Lastpage :
611
Abstract :
Competitive electricity market and ever increasing load demand create new challenges for the utilities to supply reliable and quality power to the customers. Suitable reinforcement of distributed generation (DG) and capacitor banks in distribution network can achieve the goal. This paper proposes a novel methodology for simultaneous placement and sizing of multiple renewable DG units and capacitor banks in distribution network considering reliability, voltage stability and economic criteria. The proposed method utilizes constrained discrete particle swarm optimization technique to select optimal locations and sizes of PV array and wind turbines along with capacitor banks. The validation of the methodology is demonstrated on an Indian rural distribution network. Simulation results show that proposed method is more effective than existing technique for planning of renewable DGs and capacitors in distribution network.
Keywords :
distributed power generation; particle swarm optimisation; photovoltaic power systems; power capacitors; power distribution reliability; power generation reliability; power markets; power system stability; wind turbines; Indian rural distribution network; capacitor banks; constrained discrete particle swarm optimization; economic criteria; electricity market; load demand; photovoltaic array; reliability criteria; renewable distributed generation; simultaneous placement; simultaneous sizing; voltage stability criteria; wind turbines; Capacitors; Circuit stability; Power system stability; Stability criteria; Wind turbines; Reliability; Renewable DGs; capacitor bank; discrete particle swarm optimization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuit, Power and Computing Technologies (ICCPCT), 2014 International Conference on
Print_ISBN :
978-1-4799-2395-3
Type :
conf
DOI :
10.1109/ICCPCT.2014.7054967
Filename :
7054967
Link To Document :
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