Journal ArticleDOI
Placement of wind and solar based DGs in distribution system for power loss minimization and voltage stability improvement
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TLDR
In this article, a new constrained multi-objective Particle Swarm Optimization (PSO) based wind Turbine Generation Unit (WTGU) and photovoltaic (PV) array placement approach for power loss reduction and voltage stability improvement of radial distribution system is proposed.About:
This article is published in International Journal of Electrical Power & Energy Systems.The article was published on 2013-12-01. It has received 258 citations till now. The article focuses on the topics: Distributed generation & AC power.read more
Citations
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Journal ArticleDOI
A review of the optimal allocation of distributed generation: Objectives, constraints, methods, and algorithms
TL;DR: In this paper, a comprehensive review on the optimal allocation of distributed generators was carried out for different objectives, constraints, and algorithms, highlighting how the methods and algorithms for optimal distributed generation allocation play an important role in improving the accuracy and efficiency of the results.
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A novel method based on adaptive cuckoo search for optimal network reconfiguration and distributed generation allocation in distribution network
TL;DR: In this article, a meta-heuristic cuckoo search algorithm (CSA) inspired from the obligate brood parasitism of some Cuckoo species which lay their eggs in the nests of other birds of other species for solving optimization problems is adapted to simultaneously reconfigure and identify the optimal location and size of DG units in a distribution network.
Journal ArticleDOI
A comprehensive review of the voltage stability indices
TL;DR: In this article, the authors reviewed the voltage stability indices (VSIs) from different aspects such as concepts, assumptions, critical values and equations and provided a comprehensive background to find out the future works in this field and select the best VSI for different applications like DG placement and sizing and voltage stability assessment.
Journal ArticleDOI
A review of optimum DG placement based on minimization of power losses and voltage stability enhancement of distribution system
TL;DR: In this article, a comprehensive study is carried out for optimum DG placement considering minimization of power/energy losses, enhancement of voltage stability, and improvement of voltage profile, and an attempt has been made to summarize the existing approaches and present a detailed discussion which can help the energy planners in deciding which objective and planning factors need more attention for optimal DG allocation for a given location or in a given scenario.
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Optimal mix of solar and wind distributed generations considering performance improvement of electrical distribution network
TL;DR: In this article, a simple but efficient approach has been proposed for optimal placement and sizing of solar and wind DGs in distribution territory by considering electrical network power loss minimization, voltage stability and network security improvement.
References
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Proceedings ArticleDOI
Particle swarm optimization
TL;DR: A concept for the optimization of nonlinear functions using particle swarm methodology is introduced, and the evolution of several paradigms is outlined, and an implementation of one of the paradigm is discussed.
Journal ArticleDOI
Network reconfiguration in distribution systems for loss reduction and load balancing
Mesut E. Baran,Felix F. Wu +1 more
TL;DR: Accuracy analysis and the test results show that estimation methods can be used in searches to reconfigure a given system even if the system is not well compensated and reconfiguring involves load transfer between different substations.
Journal ArticleDOI
Distributed generation : a definition
TL;DR: In this article, the relevant issues and aims at providing a general definition for distributed power generation in competitive electricity markets are discussed, which can be defined as electric power generation within distribution networks or on the customer side of the network.
Journal ArticleDOI
The fully informed particle swarm: simpler, maybe better
TL;DR: The canonical particle swarm algorithm is a new approach to optimization, drawing inspiration from group behavior and the establishment of social norms, but each individual is not simply influenced by the best performer among his neighbors.