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Demand Response for Operational Life Extension and Efficient Capacity Utilization of Power Transformers During Contingencies

机译:突发事件中电力变压器使用寿命和有效利用容量的需求响应

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摘要

Severe overloads, caused by the outage of units in multi-transformer substations, may affect transformer life adversely. This paper presents a novel demand response (DR) based optimization model to limit load on healthy transformers during contingencies. The model selects combination of the best remedial actions among DR, load curtailment (LC) and transferring load to a neighboring substation. IEEE standard thermal and aging models are used for transformer loss-of-life (LOL) calculation. For a realistic study, the proposed model is applied to a Finnish residential two-transformer primary substation for case studies of load with and without DR. The load profile and flexibility of the demand are estimated by hourly metered consumption and survey data. Simulations are performed for two situations depending upon availability of connection with a neighboring substation. The results show that the LOL of transformers can be reduced by employing DR following contingency events and the capacity utilization can be increased correspondingly.
机译:由多变电站变电站引起的严重过载可能会对变压器寿命产生不利影响。本文提出了一种新颖的基于需求响应(DR)的优化模型,以在突发事件期间限制健康变压器的负载。该模型选择了DR,负载削减(LC)以及将负载转移到相邻变电站之间最佳补救措施的组合。 IEEE标准的热和老化模型用于变压器寿命(LOL)的计算。为了进行实际研究,将建议的模型应用于芬兰居民用两变压器主变电站,以进行有无DR负载的案例研究。通过按小时计量的消耗量和调查数据来估计负载情况和需求的灵活性。根据与相邻变电站的连接可用性,针对两种情况执行仿真。结果表明,通过在意外事件发生后采用DR可以降低变压器的LOL,并相应地提高容量利用率。

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