TY - GEN
T1 - GA based optimal location and size of the distributed generators in distribution system for different load conditions
AU - Shivarudraswamy, R.
AU - Gaonkar, D. N.
AU - Jayalakshmi, N. S.
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2017/2/13
Y1 - 2017/2/13
N2 - In the recent past factors such as apprehensions over impacts of environmental aspects, distribution network improvement conditions, and other subsidised programs of the government have affected the distributed generators (DG) units count in commercial and domestic electrical power output. It is known that the optimal size and optimal placement of DG units may lead to low power losses, high voltage profiles. In real time scenario identifying an appropriate DG location and size is hard because of various system constraints. Therefore a method which can identify a optimum DG location and size is necessary. Using the method a power system with an acceptable reliability level and voltage profile can be designed. To serve this purpose in this paper a procedure/method which can calculate the optimum location for DG placement and appropriate DG size has been proposed. This method has been evaluated using a 14 bus distribution system. The optimization method has been designed using genetic algorithm (GA) and also for time varying loads.
AB - In the recent past factors such as apprehensions over impacts of environmental aspects, distribution network improvement conditions, and other subsidised programs of the government have affected the distributed generators (DG) units count in commercial and domestic electrical power output. It is known that the optimal size and optimal placement of DG units may lead to low power losses, high voltage profiles. In real time scenario identifying an appropriate DG location and size is hard because of various system constraints. Therefore a method which can identify a optimum DG location and size is necessary. Using the method a power system with an acceptable reliability level and voltage profile can be designed. To serve this purpose in this paper a procedure/method which can calculate the optimum location for DG placement and appropriate DG size has been proposed. This method has been evaluated using a 14 bus distribution system. The optimization method has been designed using genetic algorithm (GA) and also for time varying loads.
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U2 - 10.1109/ICPEICES.2016.7853256
DO - 10.1109/ICPEICES.2016.7853256
M3 - Conference contribution
AN - SCOPUS:85015819668
T3 - 1st IEEE International Conference on Power Electronics, Intelligent Control and Energy Systems, ICPEICES 2016
BT - 1st IEEE International Conference on Power Electronics, Intelligent Control and Energy Systems, ICPEICES 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 1st IEEE International Conference on Power Electronics, Intelligent Control and Energy Systems, ICPEICES 2016
Y2 - 4 July 2016 through 6 July 2016
ER -