TY - GEN
T1 - Optimal Location of DGs in a Distribution System for Maintaining Voltage Profile and Loss Reduction Using Genetic Algorithm
AU - Prakash, Satyasheel
AU - Rangta, Vinay
AU - Jayalakshmi, N. S.
AU - Jadoun, Vinay Kumar
PY - 2020/2
Y1 - 2020/2
N2 - One of the main challenges of a distribution network is to maintain the voltage profile at each bus. As the power distribution network gets bigger, the complexity of the distribution network also increases. This paper addresses the voltage profile problem by placing Distributed Generation (DG) units in the distribution system. The power loss of the network is calculated by using the backward-forward sweep method. Voltage Stability Index (VSI) of each node is determined and is taken as the base case. The voltage profile is improved by using different number and location of DGs in the network. This study indicates that the placement of the DG units by genetic algorithm (GA) method increases the voltage profile of each node and also decreases the power losses in the network. This GA method is used and analyzed on IEEE 33 and 69 bus radial distribution networks for power loss calculation with placement of DGs. The losses in 33 bus system reduced to 64.95% with respect to the losses without DG, when three DG units were connected into the distribution network. In 69-bus system, the losses reduced to 69.23% with respect to the losses without connecting DG.
AB - One of the main challenges of a distribution network is to maintain the voltage profile at each bus. As the power distribution network gets bigger, the complexity of the distribution network also increases. This paper addresses the voltage profile problem by placing Distributed Generation (DG) units in the distribution system. The power loss of the network is calculated by using the backward-forward sweep method. Voltage Stability Index (VSI) of each node is determined and is taken as the base case. The voltage profile is improved by using different number and location of DGs in the network. This study indicates that the placement of the DG units by genetic algorithm (GA) method increases the voltage profile of each node and also decreases the power losses in the network. This GA method is used and analyzed on IEEE 33 and 69 bus radial distribution networks for power loss calculation with placement of DGs. The losses in 33 bus system reduced to 64.95% with respect to the losses without DG, when three DG units were connected into the distribution network. In 69-bus system, the losses reduced to 69.23% with respect to the losses without connecting DG.
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U2 - 10.1109/PARC49193.2020.236558
DO - 10.1109/PARC49193.2020.236558
M3 - Conference contribution
AN - SCOPUS:85085025192
T3 - 2020 International Conference on Power Electronics and IoT Applications in Renewable Energy and its Control, PARC 2020
SP - 59
EP - 64
BT - 2020 International Conference on Power Electronics and IoT Applications in Renewable Energy and its Control, PARC 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2020 International Conference on Power Electronics and IoT Applications in Renewable Energy and its Control, PARC 2020
Y2 - 28 February 2020 through 29 February 2020
ER -
