عنوان مقاله [English]
نویسندگان [English]چکیده [English]
Optimal operation of hybrid energy systems has been motivated in developed countries, by decreasing operation costs and pollutions, and increasing use of renewable energy resources. This paper presents a new energy management scheme for utilization of batteries and diesel generators, to decrease operation costs and pollutions, while increase reliability simultaneously. The capacity of the system components is firstly optimized by HOMER software. Then, diesel generator capacity is optimized by particle swarm optimization (PSO) algorithm, taking into account the environmental and outage costs. In the proposed control strategy, due to the variation of power generation and power consumption in hybrid systems, different charge / discharge limits are applied for each hour of the day, instead of conventional fixed upper and lower bands for the state of charge (SOC) of battery. The results show the effectiveness of the proposed strategy on reducing the cost of power generation, the reliability and the environmental issues.
 Koutroulis, E., Kolokosta, A., Kalaitzakis, K., (2006). “Methodology for optimal sizing of stand-alone photovoltaic/wind-generator systems using genetic algorithms”. Solae Enrgy, vol. 80, no. 9, pp. 1072–1088.
]2[ علی جوادی، سعید زمانی، محسن محمدیان (1390). " بررسی استراتژی مدیریت توان در مولدهای قدرت هایبریدی تولید پراکنده". بیست و ششمین کنفرانس بین المللی برق.
 Belgana, S., Dabib , A., Bilil, H., Maaroun, M. (2013). “Hybrid renewable energy system design using multiobjective optimization”. International Conference on Renewable Energy Research and Applications, Madrid, Spain, Oct 20-23.
 Askarzadeh, A., Dos Santos Coelho, L. (2015). “A novel framework for optimization of a grid independent hybrid renewable energy system: A case study of Iran”. Solar Energy, vol. 112, pp. 383–396.
 Yang, A., Zhou, W., Lu, L., Fang, Z. (2008). “Optimal sizing method for stand-alone hybrid solar–wind system with LPSP technology by using genetic algorithm”. Solar Energy, vol. 82, no. 4, pp. 354–367.
 Sharafi, M., Elmekkawy, T. Y., (2014). “Multi-objective optimal design of hybrid renewable energy systems using PSO-simulation based approach”. Renewable Energy, vol. 68, pp. 67–79.
 Gajbhiye, P., Suhane, P. (2014). “Methodology for Optimal Sizing & Power Management of Hybrid Energy System”. International Journal of Electrical, Electronics and Computer Engineering, vol. 3, no. 2, p. 7.
 Layadi, T.M., Mostefai, M., Champenois, G., Abbes, D. (2013). “Dimensioning a hybrid electrification system (PV/ WT /DG + battery) using a dynamic simulation”. International Conference on Electrical Engineering and Software Applications, Hammamet, Tunisia, March 21-23.
 Binayak, B., Kyung-Tae, L., Gil-Young, L., Young- and Manufacturing-Green Technology Man, C., Sung-Hoon, A. (2015) “Optimization of hybrid renewable energy power systems: A review,” International Journal of Precision Engineering., vol. 2, no. 1, pp. 99–112.
 Daud, A., Ismail, M. (2012). “Design of isolated hybrid systems minimizing costs and pollutant emissions”. Renewable Energy, vol. 44, pp. 215–224.
 Khare, R., Kumar, Y. (2014). “Techno economic analysis for PV-wind-DG- battery IHRES with SGA”. International Conference on Power, Delhi, India, December 5-7.
 Qian, R., Zhou, C., Yuan, Y. (2008). “Analysis of environment benefits of distributed generation”. Power and Energy Society General Meeting, Pittsburgh, United States of America july 20-24.