تعداد نشریات | 26 |

تعداد شمارهها | 300 |

تعداد مقالات | 2,613 |

تعداد مشاهده مقاله | 3,931,782 |

تعداد دریافت فایل اصل مقاله | 2,594,301 |

## A Two-Stage Stochastic Programming Model for the Optimal Sizing of Hybrid PV/diesel/battery in Hybrid Electric Ship System | ||

Journal of Operation and Automation in Power Engineering | ||

مقاله 2، دوره 7، شماره 1، مرداد 2019، صفحه 16-26 اصل مقاله (881.1 K)
| ||

نوع مقاله: Research paper | ||

شناسه دیجیتال (DOI): 10.22098/joape.2019.4395.1349 | ||

نویسندگان | ||

A. Dolatabadi؛ R. Ebadi؛ B. Mohammadi-Ivatloo^{*}
| ||

^{}Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran | ||

چکیده | ||

Ships play the major role in bulk transportation and they need their special energy system. This paper proposes a stochastic programing method for optimal sizing of a hybrid ship power system with energy storage system (ESS), photovoltaic power (PV) and diesel generator. To account for uncertainties, in this study a two-stage stochastic mixed-integer non-linear programing is used to model the optimal design problem of hybrid system for ships. The uncertainty of the hourly global solar irradiation and its effect on the output power of the PV system is taken into account. The probability density function of the global solar radiation follows a normal distribution. The Monte Carlo sampling approach is used to generate the scenarios with a specified probability and a proper scenario reduction method is used to decrease the computational burden of problem. Three cases are studied and the results are presented and compared. | ||

کلیدواژهها | ||

Stochastic programming؛ Ship power system؛ Photovoltaic generation؛ Uncertainty؛ Monte Carlo method | ||

مراجع | ||

[1] M. S. Eide,. Endresen, R. Skjong, T. Longva, and S. Alvik, “Cost-effectiveness assessment of CO2 reducing measures in shipping,” [2] N. Rehmatulla and T. Smith, “Barriers to energy efficiency in shipping: A triangulated approach to investigate the principal agent problem,” [3] Buhaug, J. Corbett, Endresen, V. Eyring, J. Faber, S. Hanayama [4] A. Malheiro, P. M. Castro, R. M. Lima, and A. Estanqueiro, “Integrated sizing and scheduling of wind/PV/diesel/battery isolated systems,” [5] R. Hunter and G. Elliot, [6] F. Birol, “World energy outlook 2010,” [7] C. Yan, G. K. Venayagamoorthy, and K. A. Corzine, “Optimal location and sizing of energy storage modules for a smart electric ship power system, ” Proce. [8] B. Zahedi, L. E. Norum, and K. B. Ludvigsen, “Optimized efficiency of all-electric ships by dc hybrid power systems,” [9] E. Ovrum and T. Bergh, “Modelling lithium-ion battery hybrid ship crane operation,” [10] E. K. Dedes, D. A. Hudson, and S. R. Turnock, “Assessing the potential of hybrid energy technology to reduce exhaust emissions from global shipping,” [11] M. Majidi and S. Nojavan, “Optimal sizing of energy storage system in a renewable-based microgrid under flexible demand side management considering reliability and uncertainties,” [12] R. Afshan and J. Salehi, “Optimal scheduling of battery energy storage system in distribution network considering uncertainties using hybrid monte carlo-genetic approach,” [13] S. Wen, H. Lan, Y.-Y. Hong, C. Y. David, L. Zhang, and P. Cheng, “Allocation of ESS by interval optimization method considering impact of ship swinging on hybrid PV/diesel ship power system,” [14] L. Wang, D.-J. Lee, W.-J. Lee, and Z. Chen, “Analysis of a novel autonomous marine hybrid power generation/energy storage system with a high-voltage direct current link,” [15] A. De and L. Musgrove, “The optimization of hybrid energy conversion systems using the dynamic programming model—Rapsody,” [16] C. D. Barley and C. B. Winn, “Optimal dispatch strategy in remote hybrid power systems,” [17] S. Ashok, “Optimised model for community-based hybrid energy system,” [18] R. Dufo-López and J. L. Bernal-Agustín, “Multi-objective design of PV–wind–diesel–hydrogen–battery systems,” [19] Z. Zhou, J. Zhang, P. Liu, Z. Li, M. C. Georgiadis, and E. N. Pistikopoulos, “A two-stage stochastic programming model for the optimal design of distributed energy systems,” [20] A. Arabali, M. Ghofrani, M. Etezadi-Amoli, and M. S. Fadali, “Stochastic performance assessment and sizing for a hybrid power system of solar/wind/energy storage,” [21] M. Alipour, B. Mohammadi-Ivatloo, and K. Zare, “Stochastic risk-constrained short-term scheduling of industrial cogeneration systems in the presence of demand response programs,” [22] E. Vanem and E. M. Bitner-Gregersen, “Stochastic modelling of long-term trends in the wave climate and its potential impact on ship structural loads,” [23] A. Glykas, G. Papaioannou, and S. Perissakis, “Application and cost–benefit analysis of solar hybrid power installation on merchant marine vessels,” [24] K.-J. Lee, D. Shin, D.-W. Yoo, H.-K. Choi, and H.-J. Kim, “Hybrid photovoltaic/diesel green ship operating in standalone and grid-connected mode–Experimental investigation,” [25] F. Adamo, G. Andria, G. Cavone, C. De Capua, A. M. L. Lanzolla, R. Morello [26] H. Lan, S. Wen, Y.-Y. Hong, C. Y. David, and L. Zhang, “Optimal sizing of hybrid PV/diesel/battery in ship power system,” [27] N. Rehmatulla, J. Calleya, and T. Smith, “The implementation of technical energy efficiency and CO 2 emission reduction measures in shipping,” [28] M. J. Ahmad and G. Tiwari, “Optimization of tilt angle for solar collector to receive maximum radiation,” [29] A. Mellit, “ANN-based GA for generating the sizing curve of stand-alone photovoltaic systems,” [30] S. A. Kalogirou, “Artificial neural networks in renewable energy systems applications: a review,” [31] A. Mellit, M. Benghanem, and S. Kalogirou, “Modeling and simulation of a stand-alone photovoltaic system using an adaptive artificial neural network: Proposition for a new sizing procedure,” [32] S. B. Jeyaprabha and A. I. Selvakumar, “Optimal sizing of photovoltaic/battery/diesel based hybrid system and optimal tilting of solar array using the artificial intelligence for remote houses in India,” [33] M. A. Gammon, “Optimization of fishing vessels using a Multi-Objective Genetic Algorithm,” [34] B. Rezaie, E. Esmailzadeh, and I. Dincer, “Renewable energy options for buildings: case studies,” [35] J. M. Lujano-Rojas, R. Dufo-López, and J. L. Bernal-Agustín, “Probabilistic modelling and analysis of stand-alone hybrid power systems,” [36] T. Markvart: United kingdom: [37] Y. A. Gandomi, D. S. Aaron, T. A. Zawodzinski, and M. M. Mench, “In situ potential distribution measurement and validated model for all-vanadium redox flow battery,” [38] E. Rodrigues, G. Osório, R. Godina, A. Bizuayehu, J. Lujano-Rojas, J. Matias [39] Y. Yang, H. Li, A. Aichhorn, J. Zheng, and M. Greenleaf, “Sizing strategy of distributed battery storage system with high penetration of photovoltaic for voltage regulation and peak load shaving,” [40] J. Weniger, T. Tjaden, and V. Quaschning, “Sizing of residential PV battery systems,” [41] J. Shen, S. Dusmez, and A. Khaligh, “Optimization of sizing and battery cycle life in battery/ultracapacitor hybrid energy storage systems for electric vehicle applications,” [42] A. Dolatabadi and B. Mohammadi-Ivatloo, “Stochastic risk-constrained scheduling of smart energy hub in the presence of wind power and demand response,” [43] L. Wu, M. Shahidehpour, and T. Li, “Stochastic security-constrained unit commitment,” [44] W. Rmisch, “Scenario reduction in stochastic programming: an approach using probability metrics,” 2000. [45] A. Dolatabadi, M. Jadidbonab, and B. Mohammadi-ivatloo, “Short-term scheduling strategy for wind-based energy hub: a hybrid stochastic/IGDT approach,” [46] [47] M. Habib, S. Said, M. El-Hadidy, and I. Al-Zaharna, “Optimization procedure of a hybrid photovoltaic wind energy system,” [48] T. Markvart, [49] A. V. Da Rosa, [50] S. Kaplanis, “New methodologies to estimate the hourly global solar radiation; comparisons with existing models,” [51] J. Cao and X. Lin, “Study of hourly and daily solar irradiation forecast using diagonal recurrent wavelet neural networks,” [52] A. El-Sebaii, F. Al-Hazmi, A. Al-Ghamdi, and S. J. Yaghmour, “Global, direct and diffuse solar radiation on horizontal and tilted surfaces in Jeddah, Saudi Arabia,” [53] A. Dolatabadi and B. Mohammadi-Ivatloo, “Stochastic risk-constrained optimal sizing for hybrid power system of merchant marine vessels,” [54] S. Kaplanis and E. Kaplani, “A model to predict expected mean and stochastic hourly global solar radiation I (h; nj) values,” [55] A. Maleki and A. Askarzadeh, “Optimal sizing of a PV/wind/diesel system with battery storage for electrification to an off-grid remote region: A case study of Rafsanjan, Iran,” [56] M. Sharafi and T. Y. ELMekkawy, “Multi-objective optimal design of hybrid renewable energy systems using PSO-simulation based approach,” [57] D. Feldman, G. Barbose, R. Margolis, T. James, S. Weaver, N. Darghouth [58] R. Walawalkar, J. Apt, and R. Mancini, “Economics of electric energy storage for energy arbitrage and regulation in New York,” [59] [60] A. Dolatabadi, B. Mohammadi-ivatloo, M. Abapour, and S. Tohidi, “Optimal stochastic design of wind integrated energy hub,” [61] S. Pazouki, M.-R. Haghifam, and A. Moser, “Uncertainty modeling in optimal operation of energy hub in presence of wind, storage and demand response,” | ||

آمار تعداد مشاهده مقاله: 1,818 تعداد دریافت فایل اصل مقاله: 1,680 |