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Journal ArticleDOI

Design of an advanced electric power distribution systems using seeker optimization algorithm

TLDR
In this article, a new approach using seeker optimization algorithm (SOA) is proposed for distribution system planning problem with simultaneous placement of automatic reclosers (RAs), considering total system economic cost, overall system reliability, system power losses and voltage deviations as an objective functions.
About
This article is published in International Journal of Electrical Power & Energy Systems.The article was published on 2014-12-01. It has received 30 citations till now. The article focuses on the topics: Electric power distribution & Recloser.

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Citations
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Journal ArticleDOI

A review of power distribution planning in the modern power systems era: Models, methods and future research

TL;DR: An overview of the state-of-the-art models and methods applied to the modern power distribution planning problem can be found in this paper, where the authors analyze and classify current and future research trends in this field.
Journal ArticleDOI

Optimisation of electric distribution systems: A review

TL;DR: Although diverse optimisation algorithms have already been applied to distribution system optimisation problem, developing efficient algorithms with the ability of escaping from local optima and finding near-global solutions is required.
Journal ArticleDOI

Smart Distribution Networks: A Review of Modern Distribution Concepts from a Planning Perspective

TL;DR: In this paper, the smart distribution network (SDN) concept under the smart grid paradigm, has been presented and reviewed from the planning perspective, and developments in the SDN planning process have been surveyed on the basis of SG package (SGP).
Journal ArticleDOI

Reliability optimization of smart grid based on optimal allocation of protective devices, distributed energy resources, and electric vehicle/plug-in hybrid electric vehicle charging stations

TL;DR: This paper tries to fill a knowledge gap to introduce a comprehensive simultaneous optimal allocation of protective devices, distributed generation units, and electric vehicle/plug-in hybrid electric vehicle charging stations by proposing a method that simultaneously considers all discussed optimization variables.
Journal ArticleDOI

Multi-Objective Planning Techniques in Distribution Networks: A Composite Review

TL;DR: In this article, a review of several planning techniques (PTs) based on multobjective optimizations (MOOs) in DNWs, aiming at better trade-off solutions among conflicting objectives and satisfying multiple stakeholders.
References
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Proceedings ArticleDOI

A modified particle swarm optimizer

TL;DR: A new parameter, called inertia weight, is introduced into the original particle swarm optimizer, which resembles a school of flying birds since it adjusts its flying according to its own flying experience and its companions' flying experience.
Journal ArticleDOI

The particle swarm - explosion, stability, and convergence in a multidimensional complex space

TL;DR: This paper analyzes a particle's trajectory as it moves in discrete time, then progresses to the view of it in continuous time, leading to a generalized model of the algorithm, containing a set of coefficients to control the system's convergence tendencies.
Book ChapterDOI

Evolutionary Optimization Versus Particle Swarm Optimization: Philosophy and Performance Differences

TL;DR: This paper investigates the philosophical and performance differences of particle swarm and evolutionary optimization by comparison experiments involving four non-linear functions well studied in the evolutionary optimization literature.
Journal ArticleDOI

Genetic algorithms in optimal multistage distribution network planning

TL;DR: In this paper, a genetic algorithm approach to the optimal multistage planning of distribution networks is described, and the advantages of adopting this new approach are discussed in the planning context, namely in conjunction with the adoption of multicriteria decision making methods.
Journal ArticleDOI

Uncertainty reasoning based on cloud models in controllers

TL;DR: A new mathematical representation of linguistic concepts is presented and a novel uncertainty reasoning technology is proposed that not only serves as a foundation of linguistic control, but also integrating fuzziness and randomness in an inseparable way.
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