An AIS-ACO hybrid approach for multi-objective distribution system reconfiguration

Ahuja, Ashish; Das, Sanjoy; Pahwa, Anil

doi:10.1109/pes.2008.4596330

Cited by 22 publications

(34 citation statements)

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“…The disadvantage of this methodis that it is excessively time consuming.In the current work, valid chromosomes are generatedfollowing the method described in [17] by first forming thefundamental loops matrix, where a fundamental loop is onethat does not contain any loops within itself, and the numberof fundamental loops L of the meshed system is equal tothe number of tie (open) switches sw , and it is given by thefollowing relation:…”

Section: Conventional Fnsga Codificationmentioning

confidence: 99%

Solving Reconfiguration Problem Using Multi Objective Particle Swarm Optimization for Power Distribution System

Lakshmi¹,

Suresh²

2017

Nctet-2k17

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This paper introduces a new Multi Objective Particle swarm Optimization algorithm (MOPSO) for the purpose of solving the DSR problem& optimal placement of DGs .The objectives of the problem are to minimize real power losses and improve the voltage profile with minimum switching operations. the best solution is determined by simply considering the sum of the normalized objective values. Radial system topology is satisfied using graph theory by formulating the branch bus incidence matrix (BBIM) and checking the rank of each topology. To test the algorithm, it was applied to widely studied test systems and a real one. The results show the efficiency of this algorithm as compared to other methods in terms of achieving all the goals simultaneously with reasonable population and generation sizes and without using a mutation rate, which is usually problem dependent.

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Section: Conventional Fnsga Codificationmentioning

confidence: 99%

Solving Reconfiguration Problem Using Multi Objective Particle Swarm Optimization for Power Distribution System

Lakshmi¹,

Suresh²

2017

Nctet-2k17

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“…Wu et al [16] have proposed an enhanced integer coded particle swarm optimization (EICPSO) approach, to improve the search efficiency for feeder reconfiguration problems. Several other intelligent methodologies were presented in [17][18][19][20][21] for the feeder reconfiguration.…”

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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“…However, the topology of distribution system changes frequently for the purpose of reconfiguration to reduce energy losses [23]. This brings difficulties to these methods.…”

Section: Introductionmentioning

confidence: 99%

“…In distribution systems, for the frequent changing of its topology, it is an onerous task to do the two parts manually. The algorithms proposed in [22][23][24][25] can only recognize the topology of the network. Thus, the novel algorithm proposed in this paper is that it can dramatically reduce the required manpower and is not affected by the changes of topology.…”

Section: Introductionmentioning

confidence: 99%

Automatic Faulted Feeder Section Location and Isolation Method for Power Distribution Systems Considering the Change of Topology

2017

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Abstract:The increasing use of modern measuring devices, such as Feeder Terminal Units (FTUs), on power networks can provide multiple types of information for fault location on distribution systems. Using these devices, in this paper, a novel automatic matrix-based algorithm for the identification and isolation of faulted feeder sections on distribution systems is proposed. The algorithm works in two stages: the first stage automatically identifies the radial feeders that make up the whole system and represents the feeders' topology in matrix form; and the second stage automatically identifies the faulted section of the identified feeder and opens the relevant switches to isolate it. The algorithm can be applied to single and multiple faults, as it operates using measuring device information and detecting the status of switch devices. It does not require any electrical parameters and it is not affected by the fault type or fault resistance. The algorithm was thoroughly tested using a large distribution system and was found to efficiently identify and isolate the faulted feeder section in each case.

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An AIS-ACO hybrid approach for multi-objective distribution system reconfiguration

Cited by 22 publications

References 0 publications

Solving Reconfiguration Problem Using Multi Objective Particle Swarm Optimization for Power Distribution System

Solving Reconfiguration Problem Using Multi Objective Particle Swarm Optimization for Power Distribution System

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

Automatic Faulted Feeder Section Location and Isolation Method for Power Distribution Systems Considering the Change of Topology

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