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Optimum Design of a Stand-alone Hybrid Power System with Demand-side Management

机译:具有需求侧管理的独立混合动力系统的优化设计

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Hybridising renewable energy sources improves the reliability of renewable energy systems for stand-alone applications. However, the high system cost is one of the setbacks that contribute to the slow growth of renewable energy development. The system cost can be reduced by optimal system design. This paper presents hybrid system design strategies that minimize the system capital cost. The design concept considers integration of demand-side management (DSM) strategy in the system design process. In this strategy, the residential load is divided into three categories and prioritized two of them. This reduces the peak load, in effect reduces the system design capacity. A traditional design method was used to design a hybrid system to meet a specific daily load profile of a typical 3-bedroom residential facility in Tema, Ghana. The system capacity, system capital cost, net present cost, capacity shortage and excess generation of the system were considered as hypothesis. The algorithm of the proposed design strategy was used to design an optimal system for the same daily load profile. Upon comparison of the two systems, the following observations were made; the system capacity reduced from 8.4 kW to 4.3 kW, the initial cost and the net present cost of the optimal system reduced by 48% and 41.5% respectively, system capacity shortage was slightly improved from 9.5% to 8.8%. The costs of energy (COE) improved from 0.793 kWh to 0.742 kWh, 6.4% reduction. The results indicate that, the proposed design method reduces the system capacity by almost half which significantly reduced the system initial cost by 41.5 percent.
机译:混合可再生能源可提高独立应用中可再生能源系统的可靠性。然而,高昂的系统成本是导致可再生能源发展缓慢增长的挫折之一。通过优化系统设计可以降低系统成本。本文提出了一种混合系统设计策略,可以最大程度地降低系统投资成本。该设计概念考虑了系统设计过程中需求侧管理(DSM)策略的集成。在此策略中,住宅负荷分为三类,并优先考虑其中的两类。这降低了峰值负载,实际上降低了系统设计能力。使用传统的设计方法来设计混合系统,以满足加纳特马市典型的三居室住宅设施的特定日负荷曲线。系统容量,系统资本成本,净现值,容量不足和系统的多余发电被视为假设。所提出的设计策略的算法用于为相同的日负荷曲线设计最佳系统。比较这两个系统后,得出以下结论;系统容量从8.4 kW降低到4.3 kW,最优系统的初始成本和净现值分别降低了48%和41.5%,系统容量短缺从9.5%略微降低到8.8%。能源成本(COE)从0.793 kWh提高到0.742 kWh,降低了6.4%。结果表明,所提出的设计方法将系统容量减少了近一半,从而使系统的初始成本降低了41.5%。

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