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Optimal location and sizing of DSTATCOM in distribution systems by immune algorithm

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TLDR
An effective biologically inspired algorithm (Immune Algorithm) is used to search the best location and determine the size of DSTATCOM and minimum cost of installation and maximum power loss reduction are integrated into an objective function through appropriate weighting factors.
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This article is published in International Journal of Electrical Power & Energy Systems.The article was published on 2014-09-01. It has received 216 citations till now.

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Journal ArticleDOI

Optimal size and siting of multiple DG and DSTATCOM in radial distribution system using Bacterial Foraging Optimization Algorithm

TL;DR: In this paper, a novel approach to determine the optimal location and sizing of Distribution Generation (DG) and Distribution STATic COMpensator (DSTATCOM) is analyzed, and the objective function is formulated for minimizing power loss, operational costs and voltage profile enhancement of the system subjected to equality and in equality constraints.
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DSTATCOM allocation in distribution networks considering load variations using bat algorithm

TL;DR: In this article, the authors proposed a new method of scheduling for optimal placement and sizing of Distribution STATic COMpensator in the radial distribution networks to minimize the power loss, the proposed method Voltage Stability Index is used to search the optimal placement for installation of DSTATCOM.
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Topological aspects of power quality improvement techniques: A comprehensive overview

TL;DR: A comprehensive review on the status of topological aspects of techniques used to improve the power quality in distribution network for the researchers, designers and engineers working in this area is provided.
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Optimal placement and sizing of distribution static compensator (D-STATCOM) in electric distribution networks: A review

TL;DR: In this article, an up-to-date survey of the literature on the optimal allocation of D-STATCOM in distribution networks is presented, which can be classified into five categories including analytical methods, artificial neural network-based approaches, metaheuristic methods, sensitivity approaches, and a combination of sensitivity approaches and metaheuristics.
Journal ArticleDOI

Optimal Placement and Sizing of DSTATCOM Using Harmony Search Algorithm

TL;DR: A new approach to find the optimal location and sizing of Distribution STATic COMpensator (DSTATCOM) with an objective function of minimizing the total network power losses is investigated.
References
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Journal ArticleDOI

Network reconfiguration in distribution systems for loss reduction and load balancing

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.
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Learning and optimization using the clonal selection principle

TL;DR: This paper proposes a computational implementation of the clonal selection principle that explicitly takes into account the affinity maturation of the immune response and derives two versions of the algorithm, derived primarily to perform machine learning and pattern recognition tasks.
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Optimal capacitor placement on radial distribution systems

TL;DR: In this article, the problem of capacitors placement on a radial distribution system is formulated and a solution algorithm is proposed, where the location, type, and size of the capacitors, voltage constraints, and load variations are considered.
Book

Artificial Immune Systems: A New Computational Intelligence Approach

TL;DR: The AIS in Context with Other Computational Intelligence Paradigms and Case Studies shows how the immune system in context with other biological systems and other paradigms has changed since the 1970s.
Journal ArticleDOI

Optimal Location of Multi-Type FACTS Devices in a Power System by Means of Genetic Algorithms

TL;DR: A genetic algorithm to seek the optimal location of multi-type FACTS devices in a power system and shows that the simultaneous use of several kinds of controllers is the most efficient solution to increase the loadability of the system.
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