Distribution Network Performance Enhancement Using Reconfiguration Technique based on Gravitational Search Algorithm
DOI:
https://doi.org/10.33977/2106-000-008-001Keywords:
Gravitational Search Algorithm, Optimization Technique, Voltage Profile, Network Reconfiguration, Power LossAbstract
Objectives: The main goals of this work are to minimize network power loss and enhance the system's voltage profile (VF).
Methods: This work presents a novel methodology that simultaneously optimizes Distribution Network Reconfiguration (DNR), Distributed Generation (DG) sizing, and DG placement using the Gravitational Search Algorithm (GSA) optimization technique. The DNR approach helps reduce power loss, but its effectiveness is limited when applied alone. Similarly, optimizing DG sizing and placement can further minimize power loss, but improper integration with DNR may lead to increased power loss and voltage fluctuations. Hence, it is essential to develop an efficient optimization strategy that simultaneously determines the optimal DG size and location while achieving optimal DNR.
Results: For the IEEE 33-bus network, active and reactive power losses were reduced by 67.488% and 64.88%, respectively. Similarly, for the IEEE 69-bus network, the reductions in active and reactive power losses were 82.55% and 62.25%, respectively.
Conclusions: The findings show that adjusting the size and location of distributed generation units (DGs) while configuring the network significantly improves the voltage profile and reduces losses.
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