Journal ArticleDOI
Comprehensive overview of meta-heuristic algorithm applications on PV cell parameter identification
TLDR
This paper aims to undertake a comprehensive review on meta-heuristic algorithms and related variants which have been applied on PV cell parameter identification and presents some perspectives and recommendations for future development.About:Â
This article is published in Energy Conversion and Management.The article was published on 2020-03-15. It has received 212 citations till now. The article focuses on the topics: Computer technology & Swarm intelligence.read more
Citations
More filters
Journal ArticleDOI
Comprehensive overview of maximum power point tracking algorithms of PV systems under partial shading condition
TL;DR: A comprehensive review on state-of-the-art maximum power point tracking methods of photovoltaic (PV) systems under partial shading condition (PSC) in which a total of 62 MPPT algorithms are elaborated, together with their modifications.
Journal ArticleDOI
A review on online state of charge and state of health estimation for lithium-ion batteries in electric vehicles
TL;DR: A review of the state-of-the-art online SOC and SOH evaluation technologies published within the recent five years in view of their advantages and limitations and suggests future work in the real-time battery management technology.
Journal ArticleDOI
A state-of-the-art differential evolution algorithm for parameter estimation of solar photovoltaic models
TL;DR: A state-of-the-art optimization method, namely, directional permutation differential evolution algorithm (DPDE), to tackle the parameter estimation of several kinds of solar PV models, and extensive comparative results show that DPDE outperforms its peers in terms of the solution accuracy.
Journal ArticleDOI
Parameter estimation of photovoltaic models using an improved marine predators algorithm
TL;DR: An improved algorithm based on the new metaheuristic marine predators algorithm to extract the optimal values of photovoltaic parameters is proposed and the results show that the proposed algorithm is highly correlated with the measured current–voltage data so that it can offer a useful alternative for parameter estimation of photvoltaic models.
Journal Article
Towards high efficiency inverted Sb 2 Se 3 thin film solar cells
TL;DR: In this paper, the hole transport layer (HTL) was placed on top of Sb2Se3 and stacking electron transport layer beneath the Sb 2Se3 to achieve an optimal power conversion efficiency of 24.7%.
References
More filters
Journal ArticleDOI
Differential Evolution – A Simple and Efficient Heuristic for Global Optimization over Continuous Spaces
Rainer Storn,Kenneth Price +1 more
TL;DR: In this article, a new heuristic approach for minimizing possibly nonlinear and non-differentiable continuous space functions is presented, which requires few control variables, is robust, easy to use, and lends itself very well to parallel computation.
Journal ArticleDOI
The Whale Optimization Algorithm
Seyedali Mirjalili,Andrew Lewis +1 more
TL;DR: Optimization results prove that the WOA algorithm is very competitive compared to the state-of-art meta-heuristic algorithms as well as conventional methods.
Journal ArticleDOI
Biogeography-Based Optimization
TL;DR: This paper discusses natural biogeography and its mathematics, and then discusses how it can be used to solve optimization problems, and sees that BBO has features in common with other biology-based optimization methods, such as GAs and particle swarm optimization (PSO).
Journal ArticleDOI
Salp Swarm Algorithm
Seyedali Mirjalili,Amir H. Gandomi,Seyedeh Zahra Mirjalili,Shahrzad Saremi,Hossam Faris,Seyed Mohammad Mirjalili +5 more
TL;DR: The qualitative and quantitative results prove the efficiency of SSA and MSSA and demonstrate the merits of the algorithms proposed in solving real-world problems with difficult and unknown search spaces.
Journal ArticleDOI
Multi-objective optimization using genetic algorithms: A tutorial
TL;DR: An overview and tutorial is presented describing genetic algorithms (GA) developed specifically for problems with multiple objectives that differ primarily from traditional GA by using specialized fitness functions and introducing methods to promote solution diversity.