New Strategy to Optimize Photovoltaic Systems by the Operations Research Methods
In the field of energy development, the optimization of the system’s performances had become an important choice in the energy policy around the world since the furious growth of the energy cost. Thereby, the optimization in the photovoltaic technology has become one among the most subjects studied by the scientists in the field of renewable energy optimization. The present paper contains a new strategy to optimize photovoltaic systems by a shortest path algorithm. The software created requires a basic knowledge of the photovoltaic specification. After running this algorithm, it will be evident to select the optimal choice in a variety of possible existing system.
Copyright © 2017 Praise Worthy Prize - All rights reserved.
B.D. Craven, Oreration research methods, Victoria University, March 2005, pp 3.
Y.Z. Chen, S.F. Shen, T. Chen, R.Yang, Path Optimization Study for Vehicles Evacuation based on Dijkstra algorithm, Department of Engineering Physics, Tsinghua University, Beijing 100084, China.
M. Xu, Y. Liu, Q. Huang, Y. Zhang, G. Luan, An improved Dijkstra shortest path algorithm for sparse network, Applied Mathematics and Computation vol. 185,2007, pp.247-254.
M. Thorup, Undirected single-source shortest paths with positive integer weights in linear time, Journal of the ACM, vol.46, 1999, pp.362-394.
U. Lauther, An extremely fast, exact algorithm for finding shortest paths in static networks with geographical background, IfGIprints 22, Institut für Geoinformatik, University of Münster, ISBN 3-936616-22-1, 2004, pp. 219-230.
S. Jukna, G. Schnitger, On the optimality of Bellman–Ford–Moore shortest path algorithm, Institute of Computer Science, Goethe University Frankfurt, Frankfurt am Main, Germany.
P. Erdos, T. Gallai, On maximal paths and circuits in graphs, Acta Math. Acad. Sci. Hung, vol. 10, 1959, pp 337-356.
J. H. Friedman, N. I. Fisher, Bump hunting in high dimensional data, Statist. Comput, vol.9, 1999, pp.123-143.
W. Polonik, Z. Wangb, PRIM analysis, Journal of Multivariate Analysis, vol.101, 2010, pp. 525-540.
J. Katajainen, O. Nevalainen, An alternative for implementation of Kruskal's minimal spanning tree algorithm, Sc&ce of Computer Programming, vol.3, 1983.
T. Wakui, R. Yokoyama, Optimal structural design of residential cogeneration systems with battery based on improved solution method for mixed-integer linear programming, Energy, vol. 84,2015, pp. 106-120.
T. Wakui, R.Yokoyama, Optimal structural design of residential cogeneration systems in consideration of their operating restrictions, Energy, vol.64, 2014, pp. 719-733.
M. Sidrach-de-Cardona, L. Lopez, A simple model for sizing stand alone photovoltaic systems, Solar Energy Materials and Solar Cells, vol.55 ,1998, pp. 199–214.
D. Hohm and M. Ropp, Comparative study of maximum power point tracking algorithms, Progr. Photovoltaics, vol. 11, Jan. 2003, pp. 47-62.
Y. Hongxing, Z. We, L. Lin, F. Zhaohong, Optimal sizing method for stand-alone hybrid solarewind system with LPSP technology by using genetic algorithm, Solar Energy, vol.82, 2008, pp. 354e67.
P. Zhang, W. Li, S. Li, Y. Wang, W. Xiao, Reliability assessment of photovoltaic power systems: review of current status and future perspectives, Applied Energy, vol. 104, 2013, pp. 822-833.
G. Alan, J. Ted, W. Michael, Residential commercial and utility scale PV system prices in the US current drivers and cost reduction opportunities, 2012, pp. 1-55.
F. A. Mohamed, H. N. Koivo, System modelling and online optimal management of microgrid using mesh adaptive direct search, Int J Electr Power Energy Syst, vol. 32, 2010, pp. 398-407.
Qoaider, D. Steinbrecht, Photovoltaic systems: a cost competitive option to supply energy to off-grid agricultural communities in arid regions, Applied Energy, vol. 87 (2), 2010, pp. 427-435.
- There are currently no refbacks.
Please send any question about this web site to email@example.com
Copyright © 2005-2021 Praise Worthy Prize