Journal ArticleDOI
Review article: A review of particle swarm optimization and its applications in Solar Photovoltaic system
Anula Khare,Saroj Rangnekar +1 more
- Vol. 13, Iss: 5, pp 2997-3006
TLDR
Issues related to parameter tuning, dynamic environments, stagnation, and hybridization are discussed, including a brief review of selected works on particle swarm optimization, followed by application of PSO in Solar Photovoltaics.Abstract:
Particle swarm optimization is a stochastic optimization, evolutionary and simulating algorithm derived from human behaviour and animal behaviour as well. Special property of particle swarm optimization is that it can be operated in continuous real number space directly, does not use gradient of an objective function similar to other algorithms. Particle swarm optimization has few parameters to adjust, is easy to implement and has special characteristic of memory. Paper presents extensive review of literature available on concept, development and modification of Particle swarm optimization. This paper is structured as first concept and development of PSO is discussed then modification with inertia weight and constriction factor is discussed. Issues related to parameter tuning, dynamic environments, stagnation, and hybridization are also discussed, including a brief review of selected works on particle swarm optimization, followed by application of PSO in Solar Photovoltaics.read more
Citations
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Journal ArticleDOI
Maximum power point tracking (MPPT) techniques: Recapitulation in solar photovoltaic systems
TL;DR: In this article, a state-of-the-art analysis of the available maximum power point tracking (MPPT) techniques and their comprehensive comparative analysis based on 110 standard research articles is presented.
Journal ArticleDOI
Nature Inspired Methods and Their Industry Applications—Swarm Intelligence Algorithms
Adam Slowik,Halina Kwasnicka +1 more
TL;DR: This paper presents the particle swarm optimization (PSO) algorithm and the ant colony optimization (ACO) method as the representatives of the SI approach and mentions some metaheuristics belonging to the SI.
Journal ArticleDOI
Potential, optimization and sensitivity analysis of photovoltaic-diesel-battery hybrid energy system for rural electrification in Algeria
F. Fodhil,A. Hamidat,O. Nadjemi +2 more
TL;DR: A methodology both to optimize and to perform a sensitivity analysis of an autonomous hybrid PV-diesel-battery energy system and it was found that the PSO based approach is more cost effective with more PV penetration than HOMER.
Journal ArticleDOI
An overview on fault diagnosis and nature-inspired optimal control of industrial process applications
TL;DR: The generic theory is discussed along with illustrative industrial process applications that include a real liquid level control application, wind turbines and a nonlinear servo system and nature-inspired optimal control.
Journal ArticleDOI
Application of bio-inspired algorithms in maximum power point tracking for PV systems under partial shading conditions – A review
TL;DR: A comprehensive review of the bio-inspired algorithms used for global maximum power point tracking and the modified and combined forms of these methods found to have better performance than original algorithms.
References
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Proceedings ArticleDOI
Hybrid Particle Swarm Optimization Based on Parallel Collaboration
Y. Zhao,Xueying An,Wencai Luo +2 more
TL;DR: The results show that the IPSO method increases the stability of the basic PSO and results in faster convergence to the global optimum solution, and the HPSO does better in solving complex global optimization problems and carrying out parallel operations.
Journal ArticleDOI
Rule-based Hybrid Discretization of Discrete Particle Swarm Optimization for Optimal PV System Allocation
TL;DR: This paper discusses the application of a hybrid discretiziation method for the discretization procedure that needs to be included in discrete particle swarm optimization (DPSO) for the problem of allocating PV systems onto distribution power systems.