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
A new improved Quantum-behaved Particle Swarm Optimization model
TL;DR: A new improved QPSO based on public history researching and variant particle was proposed and it is indicated that this method improves convergence speed and enhances the global searching ability.
Proceedings Article
Economic and reliable design of a hybrid PV-wind-fuel cell energy system using differential evolutionary algorithm
TL;DR: In this paper, a cost minimization of a stand-alone hybrid energy system including photovoltaics, wind turbines and fuel cells through the overall 20-year life time of the system is performed considering reliability constraints.
Proceedings ArticleDOI
Performance of two Improved Particle Swarm Optimization In Dynamic Optimization Environments
TL;DR: Two improved particle swarm optimization models were introduced in this paper, which were swarm-core evolutionary particle Swarm optimization (SCEPSO) and PSO with simulated annealing (PSOwSA), and the performances of PSO, PSOwsa and SECPSO in dynamic environments were discussed.
Proceedings ArticleDOI
PSO-Based Multidisciplinary Design of A Hybrid Power Generation System With Statistical Models of Wind Speed and Solar Insolation
L. Wang,Chanan Singh +1 more
TL;DR: In this paper, a grid-linked hybrid power system is designed based on the proposed approach, which is optimal in terms of multiple criteria including cost, reliability, and emissions, and a set of tradeoff solutions can be obtained using the multidisciplinary approach.
Proceedings ArticleDOI
New Metropolis coefficients of Particle Swarm Optimization
Jhe Xing,Deyun Xiao +1 more
TL;DR: The application tests show that the improved PSO with the Metropolis coefficients can get the optimal position in the problem space by using less iteration steps than the traditional PSO, and the added computation of the variable coefficients does not increase the single iteration computing time much.