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Book ChapterDOI

An Efficient Invasive Weed Optimization Algorithm for Distribution Feeder Reconfiguration and Loss Minimization

TLDR
Test results show that the proposed feeder reconfiguration method can effectively ensure the loss minimization, and IWOA is used to find the optimal solution.
Abstract
The distribution network carries electricity from the transmission system and delivers it to consumers. Distribution losses account for major part of power system losses. The low-voltage operation in the distribution system is a major reason for higher technical losses due to inherent properties of the network. In this paper, a method based on invasive weed optimization algorithm (IWOA) is proposed for distribution network reconfiguration with the objective of real power loss minimization. The feeder reconfiguration problem is formulated as a nonlinear optimization problem, and IWOA is used to find the optimal solution. The proposed method is implemented on standard 16-bus test system [1]. Test results show that the proposed feeder reconfiguration method can effectively ensure the loss minimization [2].

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Citations
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Transportation Path Optimization of Modern Logistics Distribution considering Hybrid Tabu Search Algorithm

TL;DR: In this paper, a mixed tabu search method was used to optimize the transportation path for distribution vehicles, which can not only reduce the cost but also improve the optimization of the vehicle transportation path.
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Green Building Project Cost Budgeting and Cost Control Integrating Interactive VR Genetic Algorithm

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References
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Journal ArticleDOI

Distribution feeder reconfiguration for loss reduction

TL;DR: In this paper, a scheme that utilizes feeder reconfiguration as a planning and/or real-time control tool to restructure the primary feeder for loss reduction is presented.
Journal ArticleDOI

A novel numerical optimization algorithm inspired from weed colonization

TL;DR: A novel numerical stochastic optimization algorithm inspired from colonizing weeds to mimic robustness, adaptation and randomness of Colonizing weeds in a simple but effective optimizing algorithm designated as Invasive Weed Optimization (IWO).
Journal ArticleDOI

Reconfiguration of electric distribution networks for resistive line losses reduction

TL;DR: In this paper, the authors describe a heuristic method for the reconfiguration of distribution networks in order to reduce their resistive line losses under normal operating conditions, characterized by convergence to the optimum or a near-optimum solution and the independence of the final solution from the initial status of the network switches.
Journal ArticleDOI

A new algorithm for the reconfiguration of distribution feeders for loss minimization

TL;DR: In this article, a power-flow-minimum heuristic algorithm for determining the minimum loss configuration of radial distribution networks is presented. But the algorithm is based on the concept of optimum flow pattern which is determined by solving the KVL and KCL (Kirchoff's voltage and current laws) equations of the network.
Journal ArticleDOI

A fuzzy multiobjective approach for network reconfiguration of distribution systems

TL;DR: This paper presents an algorithm for network reconfiguration based on the heuristic rules and fuzzy multiobjective approach for minimizing the number of tie-switch operations.
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