Distribution system loss reduction in Addisababa north sub station

Banteywalu, Solomon Mamo; Renald, C; Slochanal, S. Mary Raja

doi:10.1109/ipact.2017.8244886

Cited by 1 publication

(1 citation statement)

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“…The techniques proposed for losses reduction are OCP and DSR to improve the system behavior and augment loss reduction taking into account the economic aspect. DSR is an efficient method to solve this problem by search to the most efficient configuration [1]. DSR first proposed by Merlin and Back using mixture of optimized and heuristic algorithms to find the optimal operating structure of RDS with an objective of loss reduction [2].…”

Section: Introductionmentioning

confidence: 99%

Dual technique of reconfiguration and capacitor placement for distribution system

Kadom¹,

Hussain²,

Al-Jubori³

2020

IJECE

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Radial Distribution System (RDS) suffer from high real power losses and lower bus voltages. Distribution System Reconfiguration (DSR) and Optimal Capacitor Placement (OCP) techniques are ones of the most economic and efficient approaches for loss reduction and voltage profile improvement while satisfy RDS constraints. The advantages of these two approaches can be concentrated using of both techniques together. In this study two techniques are used in different ways. First, the DSR technique is applied individually. Second, the dual technique has been adopted of DSR followed by OCP in order to identify the technique that provides the most eﬀective performance. Three optimization algorithms have been used to obtain the optimal design in individual and dual technique. Two IEEE case studies (33bus, and 69 bus) used to check the effectiveness of proposed approaches. A Direct Backward Forward Sweep Method (DBFSM) has been used in order to calculate the total losses and voltage of each bus. Results show the capability of the proposed dual technique using Modified Biogeography Based Optimization (MBBO) algorithm to find the optimal solution for significant loss reduction and voltage profile enhancement. In addition, comparisons with literature works done to show the superiority of proposed algorithms in both techniques.

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Section: Introductionmentioning

confidence: 99%