In this paper, a heuristic algorithm, different from the Frank-Wolfe and its modified methods, is introduced for network equilibration. By using the column generation technique and the network equilibrium conditions, ...
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In this paper, a heuristic algorithm, different from the Frank-Wolfe and its modified methods, is introduced for network equilibration. By using the column generation technique and the network equilibrium conditions, the new method need not enumerate initially all feasible paths for all origin/destination (O/D) pairs, but can give all paths used between each O/D pair and the path flows accordingly while the new algorithm obtains an optimal traffic assignment. Some convergence issues of the new method is discussed in this paper. Numerical experiments show that the new method is efficient and robust. (c) 2005 Elsevier Inc. All rights reserved.
The power produced from solar panels depends on irradiation, temperatures, number of cells, and aging impact. Moreover, extracting maximum power from solar cells is independent of load. Therefore, a maximum power poin...
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ISBN:
(数字)9781665466189
ISBN:
(纸本)9781665466189
The power produced from solar panels depends on irradiation, temperatures, number of cells, and aging impact. Moreover, extracting maximum power from solar cells is independent of load. Therefore, a maximum power point tracker (MPPT) is essential to maximize the output power from a photovoltaic (PV) module. The incremental conductance, and the equilibration algorithms have been applied to extract the MPP under partial shading condition. Partial shading on solar panels causes the power-voltage curve to have different local maximal points Among them, the largest MPP, the global maximum point, should be extracted. In this paper, a multiple-input single-ended primary inductance converter (SEPIC) is chosen to combine PV modules with an alternative source because it provides a continuous input current, and full MPP tracking range.
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