Optimal Network Reconfiguration of Large-Scale Distribution System Using Harmony Search Algorithm

Rao, R. Srinivasa; Narasimham, Sadhu Venkata Lakshmi; Raju, M. Ramalinga; Rao, A. Srinivasa

doi:10.1109/idams.2010.2076839

Cited by 111 publications

(30 citation statements)

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“…The main concern of reconfiguration is to minimize the losses, improve the load balancing, reliability, and voltage profile improvements . For example, in a study, a harmony search method is investigated to relieve the real power losses in the balanced distribution systems. In another study, a modified heuristic technique for cost benefits from voltage profile improvements in both balanced and unbalanced distribution systems.…”

Section: Introductionmentioning

confidence: 99%

Multi‐objective grey wolf optimizer algorithm for combination of network reconfiguration and D‐STATCOM allocation in distribution system

Selvaraj

Kanimozhi

2019

Int Trans Electr Energ Syst

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Summary The distribution flexible alternating current system (D‐FACT) devices are being increasingly placed in the distribution system due to their several practical and environmental benefits. In this work, a novel grey wolf optimizer (GWO) algorithm as a meta‐heuristic technique is applied to solve the reconfiguration problem, the installation of distribution static compensator (D‐STATCOM) problem, and the combination of these two problem. The aim of this research is to diminish the total power loss and the load‐balancing (LB) index of the radial distribution system. First, the index vector (IV) method is employed to suggest the candidate busses for D‐STATCOM allocation. Then, the GWO algorithm is applied to establish the locations and sizes of the D‐STATCOM from the candidate busses. An overall accurateness and consistency of the proposed GWO algorithm has been validated and experienced on a 33‐bus, a 69‐bus, and a real‐time 31‐bus radial distribution system, India with three kinds of load levels. In addition, the proposed method results are ideal as compared with other intellectual methods like genetic algorithm (GA) and fuzzy GA.

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Section: Introductionmentioning

confidence: 99%

Multi‐objective grey wolf optimizer algorithm for combination of network reconfiguration and D‐STATCOM allocation in distribution system

Selvaraj

Kanimozhi

2019

Int Trans Electr Energ Syst

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“…Rao et al . proposed HSA to solve the network reconfiguration problem to get optimal switching combinations in order to minimize real power losses in the distribution network. Nevertheless, these works assume that distribution loads are fixed as one snapshot at peak load .…”

Section: Introductionmentioning

confidence: 99%

“…Furthermore, several improvements are applied to the standard PSO to enhance the convergence rate and robustness. The main contributions of this paper are summarized as follows: It proposes a comprehensive approach that simultaneously searches for optimal tie switch combination, DG sizing, and DG location considering different DG models, allowable DG penetration level, and several other system constraints. It identifies an efficient method to integrate PV‐type DGs in DSR, ensuring that these types of DGs operate in the PV mode. It implements a time‐varying DSR and optimal DG active power scheduling with variable wind source and a day‐ahead forecasted load profile. It proposes a robust algorithm by modifying the standard PSO using a bouncing strategy and probabilistic randomness for population diversity, and a location‐repairing algorithm for topology radiality. Various case studies show that the proposed method can provide better voltage profile, higher loss reduction, and higher DG penetration compared to several state‐of‐the‐art methods such as those found in . …”

Section: Introductionmentioning

confidence: 99%

A smart distribution system reconfiguration algorithm with optimal active power scheduling considering various types of distributed generators

Teshome

Lian

2016

IEEJ Transactions Elec Engng

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This paper presents an efficient way of solving the distribution system reconfiguration (DSR) problem in electrical power systems with consideration of different types of distributed generators (DGs). The objective of a DSR is to minimize the system power loss while satisfying the system constraints and keeping the topology of the system radial. In this paper, a new DSR algorithm based on a modified particle swarm optimization (PSO) is proposed to incorporate DGs with the constant voltage control mode. The proposed method is very efficient because it avoids an extra iteration loop for computing the reactive power at PV buses in order to keep the voltage at a specified magnitude. Furthermore, if the reactive power requirement is not met in between the extreme limits, the proposed algorithm strictly searches for the best possible tie switch combination to simultaneously reduce the power loss and ensure that the DGs operate in PV mode within acceptable reactive power limit. The proposed algorithm also integrates hourly DSR with optimal DG active power scheduling considering the DG type, generation limit constraints, and the allowable DG penetration level. The validity and the effectiveness of the proposed method has been tested using standard IEEE 33-bus and 69-bus distribution networks with various case studies. Test results show that the proposed method is robust and delivers a minimal average power loss compared with different methods, and it efficiently models DGs in DSR, demonstrating that the presence of DGs can further reduce the system loss.

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“…The algorithm can be utilized for the weekly network reconfiguration problem. In [13], the fault restoration optimization model of independent shipboard power system is proposed, and the Binary Particle Swarm Optimization (BPSO) is used for the optimization problem solution. In [9], a meta heuristic Harmony Search Algorithm (HSA) is used to simultaneously reconfigure.…”

Section: Open Accessmentioning

confidence: 99%

The Application of Weighted Entropy Theory in Vulnerability Assessment and On-Line Reconfiguration Implementation of Microgrids

Xue

Xiang

Chen

2014

Entropy

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Abstract:With the consideration of randomness of distributed generations and loads, this paper has proposed a method for vulnerability assessment of microgrids based on complex network theory and entropy theory, which can explain the influence of the inherent structure characteristics and system internal energy distribution on the microgrid. The vulnerability assessment index is built, and the on-line reconfiguration model considering the vulnerability assessment of microgrid is also established. An improved cellular bat algorithm is tested on the CERTS system to implement the real time reconfiguration fast and accurately to provide the basis of theory and practice.

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Optimal Network Reconfiguration of Large-Scale Distribution System Using Harmony Search Algorithm

Cited by 111 publications

References 0 publications

Multi‐objective grey wolf optimizer algorithm for combination of network reconfiguration and D‐STATCOM allocation in distribution system

Multi‐objective grey wolf optimizer algorithm for combination of network reconfiguration and D‐STATCOM allocation in distribution system

A smart distribution system reconfiguration algorithm with optimal active power scheduling considering various types of distributed generators

The Application of Weighted Entropy Theory in Vulnerability Assessment and On-Line Reconfiguration Implementation of Microgrids

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