Abstract
The network reconfiguration can aid in loss reduction in distribution systems. A neoteric optimization method, Sunflower Optimizer (SFO), is suggested for addressing the reconfiguration of power distribution networks case. The main problem is to determine the network's optimal topology, which satisfies the objective function by considering the problem constraints. The fitness function is formulated to achieve the maximum percentage of active power loss decrease. To obtain the load flow solution, an efficient approach is applied called Backward/forward sweep. Besides, an improved graph theory is developed to address the configuration variations problem. The suggested optimization approach is executed on three power distribution networks: IEEE 33, 69, and 119 bus networks. The efficiency of the suggested SFO is verified by evaluating its operational characteristics. The obtained test results show that the percentage of active power loss reduction is maximized to 31%, 56%, and 33% for the IEEE 33, 69, and 119 bus networks, respectively. Finally, the introduced SFO approach's superiority is also confirmed by measuring its outcomes with other approaches..
Highlights
AS of late, the demand for electric energy for industries and households has grown substantially
The results revealed that the implemented algorithm accomplished the optimum or near-optimal reconfiguration of the network
‖ is the probability of the fecundation that each plant (i) can inoculate the nearest neighbor (i-1) to create a novel generation of plants in an updated random position based on the distance between the sunflowers
Summary
AS of late, the demand for electric energy for industries and households has grown substantially. M. ISMAIL approaches have been implemented by various researchers to address the reconfiguration of the power distribution networks problem. The recent SFO algorithm has been proposed to address the network reconfiguration problem. A recent SFO algorithm is applied to address the issue of distribution networks reconfiguration. An improved graph theory-based radial power flow analysis is proposed to deal with topology variations problem. The SFO technique is proposed to handle the problem with the objective of maximizing the percentage of active power loss reduction. The remaining portion of this paper is organized as follows: The below section describes the problem formulation of distribution networks reconfiguration. It includes the power flow analysis, the objective function, and its constraints.
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