Journal ArticleDOI
Enhanced leader PSO (ELPSO): A new algorithm for allocating distributed TCSC's in power systems
A. Rezaee Jordehi,Jasronita Jasni,N. I. Abd Wahab,Mohd Zainal Abidin Ab Kadir,Mohammad Sadegh Javadi +4 more
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TLDR
In this article, a new particle swarm optimisation (PSO) variant, called enhanced leader PSO (ELPSO), was proposed for solving the FACTS allocation problem in a way leading to lower amounts of power flow violations, voltage deviations and power losses with respect to other optimisation algorithms.About:
This article is published in International Journal of Electrical Power & Energy Systems.The article was published on 2015-01-01. It has received 76 citations till now. The article focuses on the topics: Search algorithm & Electric power system.read more
Citations
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Journal ArticleDOI
Parameter estimation of solar photovoltaic (PV) cells: A review
TL;DR: In this paper, the existing research works on PV cell model parameter estimation problem are classified into three categories and the research works of those categories are reviewed based on the conducted review, some recommendations for future research are provided.
Journal ArticleDOI
Enhanced leader PSO (ELPSO)
TL;DR: A novel optimisation algorithm, named enhanced leader PSO (ELPSO), is introduced, which mitigates premature convergence problem of conventional PSO and confirms the outperformance of ELPSO over other compared algorithms.
Journal ArticleDOI
Allocation of distributed generation units in electric power systems: A review
TL;DR: In this article, the existing research works on DG allocation problem are reviewed from viewpoint of their used optimisation algorithms, objectives, decision variables, DG type, applied constraints and kind of uncertainty modelling.
Journal ArticleDOI
Brainstorm optimisation algorithm (BSOA): An efficient algorithm for finding optimal location and setting of FACTS devices in electric power systems
TL;DR: In this article, Brainstorm Optimization Algorithm (BSOA) is employed to find optimal location and setting of flexible AC transmission system (FACTS) devices in IEEE 57 bus system.
Journal ArticleDOI
A review on constraint handling strategies in particle swarm optimisation
TL;DR: Different constraint handling strategies used in heuristic optimisation algorithms and especially particle swarm optimisation (PSO) are reviewed to provide a broad view to researchers in related field and help them to identify the appropriate constraint handling strategy for their own optimisation problem.
References
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Journal ArticleDOI
Particle swarm optimization
TL;DR: A snapshot of particle swarming from the authors’ perspective, including variations in the algorithm, current and ongoing research, applications and open problems, is included.
Proceedings ArticleDOI
A new optimizer using particle swarm theory
TL;DR: The optimization of nonlinear functions using particle swarm methodology is described and implementations of two paradigms are discussed and compared, including a recently developed locally oriented paradigm.
Proceedings ArticleDOI
A modified particle swarm optimizer
Yuhui Shi,Russell C. Eberhart +1 more
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
GSA: A Gravitational Search Algorithm
TL;DR: A new optimization algorithm based on the law of gravity and mass interactions is introduced and the obtained results confirm the high performance of the proposed method in solving various nonlinear functions.
Book
Understanding FACTS: Concepts and Technology of Flexible AC Transmission Systems
TL;DR: The Flexible AC Transmission System (FACTS)—a new technology based on power electronics—offers an opportunity to enhance controllability, stability, and power transfer capability of ac transmission systems.