Research Article
Application of Distributed Generation for Reduction of Power Losses and Voltage Deviation in Electric Distribution System by Using AI Techniques
@INPROCEEDINGS{10.1007/978-3-030-76063-2_10, author={Takele Ferede Agajie and Ghantasala Lakshmi Srinivas Rao and Engidaw Abel Hailu and Yayehyirad Ayalew Awoke and Tesfaye Meberate Anteneh and Fsaha Mebrahtu Gebru}, title={Application of Distributed Generation for Reduction of Power Losses and Voltage Deviation in Electric Distribution System by Using AI Techniques}, proceedings={Science and Technologies for Smart Cities. 6th EAI International Conference, SmartCity360°, Virtual Event, December 2-4, 2020, Proceedings}, proceedings_a={SMARTCITY}, year={2021}, month={5}, keywords={Distribution systems GrMHSA Distributed generation Power loss reduction DG location and size Voltage deviation}, doi={10.1007/978-3-030-76063-2_10} }- Takele Ferede Agajie
Ghantasala Lakshmi Srinivas Rao
Engidaw Abel Hailu
Yayehyirad Ayalew Awoke
Tesfaye Meberate Anteneh
Fsaha Mebrahtu Gebru
Year: 2021
Application of Distributed Generation for Reduction of Power Losses and Voltage Deviation in Electric Distribution System by Using AI Techniques
SMARTCITY
Springer
DOI: 10.1007/978-3-030-76063-2_10
Abstract
Distribution Electric power system is the largest and the most complex system made by the mankind. The distribution network power system is being encountered by quickly rising load demand and it is detected that under certain critical loading circumstances, the distribution system poses maximum power losses and poor voltage profile and collapse in convinced areas. To overcome these problems integrating distributed generation (DGs) on the grid near to the load center is the better solution as compared to others. Though, for the DG to serve its purpose, its location and size have to be determined optimally. In this paper, Grid-Based Multi-Objective Harmony Search Algorithm (GrMHSA) has been utilized to determine the size and location of DG in the distribution system in Debre Markos town. By placing DG optimally, in addition to the reduction of the power loss in the distribution network, the proposed mechanism improves the node (bus) voltage profile of the system under consideration. A MATLAB program is developed to mitigate power losses and improve the voltage profile by optimally sizing and placing a DG in the distribution network. After sizing and placing the DG in the network, the total voltage deviation, active and reactive power losses are reduced by 93.42%, 81.63% and 82.45% for Debre Markos Feeder 3 and 85.20%, 84.94% and 85.73% for Debre Markos Feeder 4 respectively. The performance comparison of GrMHSA and MOPSO has been made and GrMHSA has been found better in terms of reducing voltage deviation and power losses in the system.
