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Network topology optimisation based on dynamic thermal rating and battery storage systems for improved wind penetration and reliability
Applied Energy ( IF 10.1 ) Pub Date : 2021-09-15 , DOI: 10.1016/j.apenergy.2021.117837
Ching-Ming Lai, Jiashen Teh

The nonflexible operations of transmission networks with high load demand and wind power increase the likelihood of power congestions and deteriorate grid reliability. This condition causes higher load curtailments and inhibits the penetrations of wind power, subsequently leading to higher dispatch cost because more expensive generators compensate for the loss of wind integrations. These unfavourable factors contribute to a higher total system operating cost, which should be reduced. This paper applies a network topology optimisation technique to optimise line and busbar switching for relieving network congestions and improving network flexibility. A dynamic thermal rating system is used to enhance overhead line ratings. A battery storage system is utilised to time shift wind power usage and avoid wind spillage. These methods are effective but they have been studied only in isolation. This paper presents an assessment framework that combines all the three methods in a single model to evaluate their synergistic effects on wind integration and network reliability. The proposed framework is generic and can be applied on any networks with changes only to the numerical results. The battery energy and power ratings required to maintain the prevailing security of supply standards in a large scale wind-integrated network are determined probabilistically. Case studies performed on a modified IEEE 24-bus reliability test system show that the proposed combination of methods reduces system dispatch, load curtailment and wind curtailment costs the most when compared to any combinations with fewer methods or using each method in isolation.



中文翻译:

基于动态热额定值和电池存储系统的网络拓扑优化,以提高风力渗透率和可靠性

具有高负荷需求和风电的输电网络的非灵活运行增加了电力拥塞的可能性并降低了电网的可靠性。这种情况会导致更高的负荷削减并抑制风电的渗透,随后导致更高的调度成本,因为更昂贵的发电机补偿了风电并网的损失。这些不利因素导致较高的总系统运行成本,应予以降低。本文应用网络拓扑优化技术来优化线路和母线切换,以缓解网络拥塞并提高网络灵活性。动态热额定值系统用于提高架空线额定值。电池存储系统用于对风力使用进行时间转移并避免风溢出。这些方法是有效的,但它们仅被孤立地研究过。本文提出了一个评估框架,将所有三种方法结合在一个模型中,以评估它们对风电并网和网络可靠性的协同效应。所提出的框架是通用的,可以应用于任何只对数值结果进行更改的网络。在大规模风电并网网络中,维持供电标准的普遍安全性所需的电池能量和额定功率是概率确定的。在改进的 IEEE 24 总线可靠性测试系统上进行的案例研究表明,与使用较少方法或单独使用每种方法的任何组合相比,所提议的方法组合可最大程度地减少系统调度、负荷削减和风力削减成本。

更新日期:2021-09-15
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