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A risk evaluation method for ramping capability shortage in power systems

机译:电力系统匝道能力不足的风险评估方法

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This paper describes a risk evaluation method for RC (ramping capability) shortage. Two major uncertainties in power systems are considered: failure of generating units and NLFE (net load forecast error). The failure probability of generating units is calculated using a Markov-chain-based capacity state model. The NLFE is assumed to follow a normal distribution, which is represented using a seven-step approximation. The risk of RC shortage is evaluated using an index termed the RSE (RC shortage expectation), which is defined as the sum of the probabilities that the RC requirement will be not satisfied by the system. A case study was then carried out using a modified IEEE-RTS-96 to investigate the applicability of the method. Sensitivity analysis was performed to determine the relationship between the RSE and the installed capacity of wind farms, the reserve requirement, and the failure rate of the largest unit. (C) 2016 Published by Elsevier Ltd.
机译:本文介绍了一种针对RC(爬坡能力)短缺的风险评估方法。考虑了电力系统中的两个主要不确定性:发电机组故障和NLFE(净负荷预测误差)。使用基于马尔可夫链的容量状态模型计算发电机组的故障概率。假定NLFE遵循正态分布,该分布使用七步近似表示。使用称为RSE(RC短缺期望)的指数评估RC短缺的风险,该指数定义为系统无法满足RC要求的概率之和。然后,使用改良的IEEE-RTS-96进行案例研究,以研究该方法的适用性。进行了敏感性分析,以确定RSE和风电场的装机容量,储备要求以及最大机组的故障率之间的关系。 (C)2016由Elsevier Ltd.出版

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