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Composite Reliability Evaluation of Load Demand Side Management and Dynamic Thermal Rating Systems

机译:负荷需求侧管理和动态热额定值系统的综合可靠性评估

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摘要

Electric power utilities across the globe are facing higher demand for electricity than ever before, while juggling to balance environmental conservation with transmission corridor expansions. Demand side management (DSM) and dynamic thermal rating systems (DTR) play an important role in alleviating some of the challenges faced by electric power utilities. In this paper, various DSM measures are explored and their interactions with the application of the DTR system in the transmission network are examined. The proposed modelling of DSM in this paper implements load shifting on load demand curves from the system, bus and load sector levels. The correlation effects of line ratings are considered in the DTR system modelling as the weather that influences line ratings is also correlated. The modelling of the line ratings was performed using the time series method, the auto regressive moving average (ARMA) model. Both the DSM and the DTR systems were implemented on the modified IEEE reliability test network. The modification was achieved by developing a load model starting from the perspective of the load sectors at each bus and a new collective hourly load curve for the system was obtained by combining the loads at all buses. Finally, the results in this paper elucidate the interaction of DSM and DTR systems.
机译:全球电力公司面临着前所未有的电力需求,同时努力在环境保护与输电走廊扩建之间取得平衡。需求方管理(DSM)和动态热额定值系统(DTR)在缓解电力公司面临的一些挑战方面发挥着重要作用。本文探讨了各种DSM措施,并研究了它们与DTR系统在传输网络中的应用之间的相互作用。本文提出的DSM建模在系统,总线和负载扇区级别上实现了负载需求曲线上的负载转移。在DTR系统建模中考虑了线额定值的相关效应,因为影响线额定值的天气也被关联了。使用时间序列方法(自动回归移动平均值(ARMA)模型)对线路额定值进行建模。 DSM和DTR系统都在改进的IEEE可靠性测试网络上实现。通过从每条公交车的负载扇区的角度出发开发一种负载模型,实现了修改,并通过组合所有公交车的负载获得了系统的新的集体每小时负载曲线。最后,本文的结果阐明了DSM和DTR系统之间的相互作用。

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