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An effective maximum power point tracker for partially shaded solar photovoltaic systems
Premkumar, M.; Sowmya, R. - In: Energy reports 5 (2019), pp. 1445-1462
tracking (MPPT) technique to extract the peak power from the PV panel/array during partial shaded conditions (PSCs). The … proposed algorithm is based on bio-inspired Whale Optimization (WO) with reinitialization process when the PV system is … high tracking efficiency. The proposed algorithm eliminates the computational burden faced by the hybrid MPPT algorithms as …
Persistent link: https://www.econbiz.de/10012125643
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A critical evaluation on maximum power point tracking methods for partial shading in PV systems
Ahmed, Jubaer; Salam, Zainal - In: Renewable and Sustainable Energy Reviews 47 (2015) C, pp. 933-953
proposed to mitigate this problem. Among these, improving the maximum power point tracker (MPPT) algorithm seems to be the most … the performance of various types of MPPT algorithms during PS. To fill this gap, fifty prominent works on PS are analyzed … choosing new MPPT algorithms for their inverters. …
Persistent link: https://www.econbiz.de/10011263992
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A Maximum Power Point Tracking (MPPT) for PV system using Cuckoo Search with partial shading capability
Ahmed, Jubaer; Salam, Zainal - In: Applied Energy 119 (2014) C, pp. 118-130
This work proposes a Maximum Power Point Tracking (MPPT) for PV system using Cuckoo Search (CS) method. …
Persistent link: https://www.econbiz.de/10010743601
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Capitalism--its Nature and its Replacement: Buddhist and Marxist Insights
Priest, Graham - 2022
In this third decade of the 21st century, deep problems plague our world. Many people lack adequate nutrition, health care, and education, because–while there is enough wealth for everyone to meet these basic needs–most of it is tightly controlled by precious few. Global warming causes...
Persistent link: https://www.econbiz.de/10015324952
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Accelerating consensus of self-driven swarm via adaptive speed
Zhang, Jue; Zhao, Yang; Tian, Baomei; Peng, Liqian; … - In: Physica A: Statistical Mechanics and its Applications 388 (2009) 7, pp. 1237-1242
In recent years, the well-developed Vicsek model has attracted more and more attention. Unfortunately, in-depth research on its convergence speed is not yet completed. In this paper, we investigate some key factors governing the convergence speed of the Vicsek model with the assistance of...
Persistent link: https://www.econbiz.de/10010872642
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A modified Vicsek model for self-propelled agents with exponential neighbor weight and restricted visual field
Wang, Xin-Guang; Zhu, Chen-Ping; Yin, Chuan-Yang; Hu, … - In: Physica A: Statistical Mechanics and its Applications 392 (2013) 10, pp. 2398-2405
Large flocks of wild beings can have coordinated motion with neither leading center nor global information. The Vicsek model and its new versions explained such collective behavior of self-propelled agents with the mechanism of un-weighted influence of neighbors and global visual field (GVF),...
Persistent link: https://www.econbiz.de/10011058518
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Reducing convergence times of self-propelled swarms via modified nearest neighbor rules
George, Mishel; Ghose, Debasish - In: Physica A: Statistical Mechanics and its Applications 391 (2012) 16, pp. 4121-4127
Vicsek et al. proposed a biologically inspired model of self-propelled particles, which is now commonly referred to as the Vicsek model. Recently, attention has been directed at modifying the Vicsek model so as to improve convergence properties. In this paper, we propose two modification of the...
Persistent link: https://www.econbiz.de/10011060138
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Evolutionary Dynamics and Fast Convergence in the Assignment Game
Pradelski, Bary S.R. - Department of Economics, Oxford University - 2014
We study decentralized learning dynamics for the classic assignment game with transferable utility.  At random points in time firms and workers match, break up, and re-match in the sesarch for better opportunities.  We propose a simple learning process in which players have no knowledge about...
Persistent link: https://www.econbiz.de/10011071726
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Rapid Innovation Diffusion in Social Networks
Young, H Peyton; Kreindler, Gabriel E. - Department of Economics, Oxford University - 2012
The diffusion of an innovation can be represented by a process in which agents choose perturbed best responses to what their neighbors are currently doing.  Diffusion is said to be fast if the expected waiting time until the innovation spreads widely is bounded above independently of the size...
Persistent link: https://www.econbiz.de/10011004149
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Fast Convergence in Evolutionary Equilibrium Selection
Young, H Peyton; Kreindler, Gabriel E. - Department of Economics, Oxford University - 2011
Stochastic learning models provide sharp predictions about equilibrium selection when the noise level of the learning process is taken to zero.  The difficulty is that, when the noise is extremely small, it can take an extremely long time for a large population to reach the stochastically...
Persistent link: https://www.econbiz.de/10009320946