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Network Reliability Analysis as a Tool to Guide Investment Decisions in Distributed Generation

机译:网络可靠性分析作为指导分布式发电投资决策的工具

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Distributed Generation (DG) in any quantity is relevant to supplement the available energy capacity based on various locations, that is, whether a site specific or non-site specific energy technology. The evacuation infrastructure that delivers power to the distribution grid is designed with appropriate capacity in terms of size and length. The evacuation lines and distribution network however behave differently as they possess inherent characteristics and are exposed to varying external conditions. It is thus feasible to expect that these networks behave stochastically due to fault conditions and variable loads that destabilize the system. This in essence impacts on the availability of the evacuation infrastructure and consequently on the amount of energy delivered to the grid from the DG stations. Reliability of the evacuation point of a DG is however not a common or prioritized criteria in the decision process that guides investment in DG. This paper reviews a planned solar based DG plant in Uganda. Over the last couple of years, Uganda has seen a significant increase in the penetration levels of DG. With a network that is predominantly radial and experiences low reliability levels, one would thus expect reliability analysis to feature significantly in the assessment of the proposed DG plants. This is however not the case. This paper, uses reliability analysis to assess the impact of different evacuation options of the proposed DG plant on its dispatch levels. The evacuation options were selected based on infrastructure options in other locations with similar solar irradiances as the planned DG location. Outage data were collected and analyzed using the chi square method. It was found to be variable and fitting to different Probability Distribution Functions (PDF). Using stochastic methods, a model that incorporates the PDFs was developed to compute the reliability indices. These were assessed using chi square and found to be variable and fitting different PDFs as well. The viability of the project is reviewed based on Energy Not Supplied (ENS) and the anticipated project payback periods for any considered evacuation line. The results of the study are also reviewed for the benefit of other stakeholders like the customers, the utility and the regulatory body.
机译:任意数量的分布式发电(DG)与基于各种位置(即站点特定或非站点特定能源技术)的可用能源容量的补充有关。为配电网供电的疏散基础设施在大小和长度方面具有适当的容量。然而,疏散管线和疏散网络的行为各不相同,因为它们具有内在的特性,并且受到各种外部条件的影响。因此,可以预期这些网络由于故障条件和不稳定的系统负载而随机运行。这从本质上影响了疏散基础设施的可用性,并因此影响了从DG站输送到电网的能源量。但是,在指导对DG进行投资的决策过程中,DG疏散点的可靠性并不是普遍或优先考虑的标准。本文回顾了乌干达计划中的太阳能DG工厂。在过去的几年中,乌干达的DG渗透率显着提高。对于主要为放射状且可靠性水平较低的网络,可以预期可靠性分析将在拟议的DG工厂的评估中发挥重要作用。但是事实并非如此。本文使用可靠性分析来评估拟议的DG工厂不同疏散方案对其调度水平的影响。疏散选项是根据其他地区的基础设施选项选择的,这些地区的太阳辐射与计划的DG位置相似。收集停机数据并使用卡方方法进行分析。发现它是可变的并且适合于不同的概率分布函数(PDF)。使用随机方法,开发了一个包含PDF的模型来计算可靠性指标。使用卡方评估了这些变量,发现它们是可变的,并且也适合不同的PDF。基于未提供的能源(ENS)和任何考虑的疏散线的预期项目投资回收期,来评估项目的可行性。还审查了研究结果,以使其他利益相关方(例如客户,公用事业和监管机构)受益。

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