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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
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
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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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
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
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
We study the convergence properties of learning in social and economic networks. We characterize the effect of network structure on the long-run convergent behaviour and on the time of convergence to steady state. Agents play a repeated game governed by two underlying behavioural rules; they are...
Persistent link: https://www.econbiz.de/10010712123