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Proceedings ArticleDOI

Reconfiguration of distribution system for loss reduction using improved harmony search algorithm

TLDR
IHSA (Improved Harmony Search Algorithm) provides a better solution as it looks for optimal positions in the distribution system to switch on/off tie lines for optimal power flow and thus reduces the distribution power losses.
Abstract
Nowadays Distribution networks are growing in complex due to the increase in power demand, variation in load and different kinds of load. So these leads to degradation of quality power to the consumers. The efficient Operation of Distribution networks can be achieved by reconfiguring the network for reducing the line losses and for improving the system reliability. IHSA (Improved Harmony Search Algorithm) provides a better solution as it looks for optimal positions in the distribution system to switch on/off tie lines for optimal power flow and thus reduces the distribution power losses. These tie line switches can be used as emergency service restoration after a fault in the feeder. Autonomously controlling the sectionalizing switches in the distribution feeder makes possible to perform emergency service restoration in a shorter time.

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Citations
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Journal ArticleDOI

Real-time autonomous dynamic reconfiguration based on deep learning algorithm for distribution network

TL;DR: A novel real-time autonomous dynamic reconfiguration (ADR) method to reduce the cost of power loss and switch action of distribution network based on the deep learning (DL) algorithm that can be decision-making from the historical control dataset and the real- time system state.
Journal ArticleDOI

Performance enhancement of radial distribution system using simultaneous network reconfiguration and switched capacitor bank placement

TL;DR: The performance comparison of MPSO and conventional particle swarm optimization in terms of voltage profile and active and reactive power loss has been conducted and it has been found that the proposed method (MPSO) is more effective to enhance the performance of radial distribution systems.
Proceedings ArticleDOI

Dynamic Reconfiguration of Distribution Network Based on Temporal Constrained Hierarchical Clustering and Fireworks Algorithm

TL;DR: An improved temporal constrained hierarchical clustering approach considering the temporal constraint is used to divide the operating status of the distribution network into multiple time intervals according to the similarity of loads and the output power of distributed generations.
Book ChapterDOI

Automatic Balancing System of Single-Phase Consumer Units Connected to the Low-Voltage Distribution Network

TL;DR: In this article, the authors proposed a load-balancing model using a fuzzy logic tool for the interpretation of the dynamic behavior of the loads connected in the system and the optimization of the best allocation of single-phase consumer units with an algorithm based on the simplex model.
References
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Journal ArticleDOI

Feeder reconfiguration for loss reduction: an application of distribution automation

TL;DR: In this paper, a comparison of various methods applied to feeder reconfiguration for loss minimization is presented, and it is shown that linear programming, in the form of transportation algorithms, is not suitable for real-time application to feeders, whereas heuristic approaches, although not optimal, can provide substantial savings if properly formulated and are suited for realtime implementation.
Journal ArticleDOI

A simplified network approach to the VAr control problem for radial distribution systems

TL;DR: In this paper, a simplified network approach to the VAr (volt-ampere reactive) control problem in a distribution system with lateral branches is presented, where the power capacitors are assumed to be located optimally at the feeder branches.
Journal Article

An Efficient Method for Load−Flow Solution of Radial Distribution Networks

TL;DR: This paper reports a new and accurate method for load flow solution of radial distribution networks with minimum data preparation and has the capability to handle composite load modelling.

An Improved Power flow Technique for Distribution Systems

TL;DR: In this article, the trigonometric terms are eliminated in the node power expressions and the resulting equations are partially linearized for obtaining better convergence, which is a simpler approach than existing approaches and solved iteratively similar to Newton-Raphson (NR) technique.
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