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Power Loss Reduction and Voltage Profile Improvement of Radial Distribution System Through Simultaneous Network Reconfiguration and Distributed Generation Integration

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Advances of Science and Technology (ICAST 2020)

Abstract

In this paper Particle Swarm Optimization (PSO) based simultaneous distribution network reconfiguration and optimal Distributed Generation (DG) integration is conducted to significantly minimize the power losses and enhance the voltage profile of an electric power distribution network. The resource feasibility of solar and wind energy in Bahir Dar town was also assessed and the results revealed that solar energy production is more preferable. Backward/forward load flow analysis is deployed so as to determine the power losses and the voltage profile of each buses in the system. The proposed method is tested using MATLAB software in one of Bahir Dar distribution feeders called Bata feeder, and the objective function is evaluated by considering numerous constraints such as radiality, voltage profile, DG output limit and branch current limit. The simulation results obtained using simultaneous distribution network reconfiguration and DG insertion are encouraging. The voltage magnitude of all nodes is above the minimum threshold value and the minimum voltage is enhanced from 0.9150 pu to 0.9600 pu. In addition to this, the active and reactive power loss reduction are 54.42% and 46.37%, respectively. The cost effectiveness of the required DG size is also scrutinized and the payback period has become five years.

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Aberie, H., Gizaw, K., Banteyirga, B., Ygzaw, A. (2021). Power Loss Reduction and Voltage Profile Improvement of Radial Distribution System Through Simultaneous Network Reconfiguration and Distributed Generation Integration. In: Delele, M.A., Bitew, M.A., Beyene, A.A., Fanta, S.W., Ali, A.N. (eds) Advances of Science and Technology. ICAST 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 384. Springer, Cham. https://doi.org/10.1007/978-3-030-80621-7_18

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  • DOI: https://doi.org/10.1007/978-3-030-80621-7_18

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-80620-0

  • Online ISBN: 978-3-030-80621-7

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