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Optimal designing and management of a stand-alone hybrid energy system using meta-heuristic improved sine–cosine algorithm for Recreational Center, case study for Iran country
Applied Soft Computing ( IF 7.2 ) Pub Date : 2020-08-04 , DOI: 10.1016/j.asoc.2020.106611
M. Jahannoush , S. Arabi Nowdeh

In this paper, optimal designing and energy management of hybrid photovoltaic/wind/fuel cell (PV/WT/FC) system is presented with cost of hybrid system life span (CHSLS) minimizing and considering loss of load interruption probability (LOLIP) for Recreational Center of Gonbad (RCOG), a remote area region in Iran country using actual irradiance and wind speed data of this region. A meta-heuristic improved sine–cosine algorithm (ISCA) is used based on nonlinearly decreasing inertia weight strategy (NDIWS) for improving global and local search of the conventional SCA to find the optimal combination of hybrid system. In designing problem the optimal size of hybrid system components is determined using ISCA considering CHLS and LOLIP to satisfy the RCOG load demand in most cost-effective way. The performance of the proposed ISCA is compared with conventional SCA and well-known PSO methods in different combinations and under LOLIP changing conditions. Simulation results showed that the ISCA finds easily the optimal combination as PV/WT/FC system with lower CHSLS and better LOLIP. Also WT/FC system is not economical due to high CHSLS for RCOG. The results demonstrated that the average cost of per kW RCOG load supply using the PV/WT/FC for maximum LOLIP of 1% is equal to 0.87$ and for maximum LOLIP of 5% is 0.76$. The results showed the contribution and management of PV, WT and fuel cell together as PV/WT/FC is made a reliable and cost-effective energy system to supply the remote area application like RCOG. Moreover superiority of the ISCA than the SCA and PSO is proved with better convergence speed and accuracy. Also, the effect of some effective factors on the system designing is evaluated.



中文翻译:

使用元启发式改进正弦余弦算法的娱乐中心独立混合能源系统的优化设计和管理,针对伊朗国家的案例研究

本文提出了混合光伏/风/燃料电池(PV / WT / FC)系统的优化设计和能源管理,同时降低了混合系统寿命(CHSLS)的成本,并考虑了娱乐性负载中断概率(LOLIP)的损失伊朗国家偏远地区冈巴德中心(RCOG),使用该地区的实际辐照度和风速数据。基于非线性递减惯性权重策略(NDIWS)的元启发式改进正弦余弦算法(ISCA)用于改进常规SCA的全局和局部搜索,以找到混合动力系统的最佳组合。在设计问题时,使用ISCA并考虑CHLS和LOLIP来确定混合动力系统组件的最佳尺寸,从而以最具成本效益的方式满足RCOG负载需求。在LOLIP变化的条件下,以不同的组合将建议的ISCA的性能与常规SCA和著名的PSO方法进行比较。仿真结果表明,ICAS可以很容易地找到具有较低CHSLS和更好的LOLIP的PV / WT / FC系统的最佳组合。另外,由于RCOG的CHSLS高,WT / FC系统也不经济。结果表明,使用PV / WT / FC的每kW RCOG负载电源的平均成本,最大LOLIP为1%等于0.87 $,最大LOLIP为5%等于0.76 $。结果表明,PV / WT / FC成为可靠,经济高效的能源系统,可为RCOG等偏远地区的应用提供动力,从而对PV,WT和燃料电池的贡献和管理。此外,证明了ISCA优于SCA和PSO的收敛速度和准确性。也,

更新日期:2020-08-04
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