可再生能源混合系统建模

Laila A. Rtemi, W. El-Osta, Ahmad Attaiep
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摘要

本研究的主要目标是优化和设计风力/光伏混合太阳能发电系统,为利比亚太阳能研究中心(LCSERS)提供所需的能源,并研究其技术和经济可行性。HOMER 仿真程序用于设计离网系统,评估可行方案和经济成本。电力系统的优化基于电力负荷、气候数据源、电力组件的经济性和其他参数,其中总净现值成本(NPC)必须最小化,以选择经济上可行的电力系统。此外,还考虑了其他参数,如可再生部分、容量不足、能源成本(COE)和过剩电力,以检查技术能力。在容量不足的四种情况下,对影响最大的变量进行了敏感性分析。在离网混合系统中,最佳方案是第四种方案,即容量短缺为 60,385.6 kWh/yr 电力负荷的 5%,峰值为 43.45 kw,因为最低 COE 为 0.222 美元,NPC 为 168,173 美元。该系统由一个 20 kW 光伏、一个 25 kW 涡轮机和 72 个每个容量为 1500.Ah 的 Hoppecke 电池组组成。风能的年利用率为 77%,太阳能为 22.9%。预计电力过剩率为 58.3%。
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Hybrid System Modeling for Renewable Energy Sources
The main goal of this study is to design optimize and design a hybrid wind/PV solar power system to provide the premises of the Libyan Center for Solar Energy Research Center (LCSERS) with the required energy and investigates its technical and economic feasibility. HOMER simulation program is used to design the off-grid and assess the feasible solution and economic cost. The power systems are optimized based on the electricity load, climatic data sources, the economics of the power components, and other parameters in which the total Net Present Cost (NPC) must be minimized to select an economically feasible power system. Moreover, other parameters like a renewable fraction, capacity shortage, Cost of Energy (COE), and excess electricity, were also considered to check the technical capability. Sensitivity analysis of the most influential variables has been considered in four scenarios of capacity shortage. In the off-grid hybrid system, the best option is the fourth scenario, where the capacity shortage is 5% of the 60,385.6 kWh/yr electric load, peaking at 43.45 kw, because the lowest COE is 0.222 $ and the NPC is 168,173 $. The system consists of a 20 kW PV, one turbine of 25 kW, and 72 Hoppecke batteries of 1500.Ah each. The annual share of wind energy was 77%, and solar energy was 22.9%. The estimated excess of electricity was 58.3%.
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