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Application of novel DSM techniques for industrial peak load management

机译:新型DSM技术在工业峰值负荷管理中的应用

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Demand for Electrical Energy in developing countries is rising significantly. Every year the demand of electricity is increasing by 6–8 percent while production is not increasing with the same rate. When demand is more than supply, it leads to peak alarm and energy shortages continue to outbreak the sector. The gap between demand and supply of electrical energy is widening at the rate of 3% day by day. Bridging this gap by setup of new power plant is very difficult, expensive proposition and time taking process. The only value way in handling these crises is Demand Side Management (DSM) Strategies. DSM focuses on optimal utilization of available electricity during peak and off peak hours, this helps to maintain consumer loads indirectly by reducing the unscheduled outages. As there is a strict control over the maximum demand to avoid paying penalty on excess maximum demand for the consumer. This paper examines types of DSM measures that can reduce energy demand to electric utilities. In addition it illustrates how existing utility data can be used to predict customer demand management behavior. With reduction in consumer load during peak hours, there is great improvement in the load curve and load factor along with saving in energy bill due to lowering MD charges during peak hours.
机译:发展中国家的电能需求显着上升。每年电力的需求都在增加6-8%,而生产率并没有增加相同的速度。当需求超过供应时,它导致峰值报警和能源短缺继续爆发该部门。需求与电能供应之间的差距在日复一日的3%的速度下扩大。通过设置新的电厂弥补这种差距是非常困难,昂贵的主张和时间的过程。处理这些危机的唯一价值方式是需求侧管理(DSM)策略。 DSM在峰值和关闭高峰时段期间的可用电力最佳利用,这有助于通过减少未安排的中断,间接维护消费量负荷。由于严格控制最大要求,以避免对消费者最大限度的最大需求支付罚款。本文研究了可以将能源需求降低到电力公用事业的DSM措施类型。此外,它说明了现有的实用程序如何用于预测客户需求管理行为。随着高峰时段的消费负荷减少,负载曲线和负载系数的巨大改善以及由于在高峰时段期间降低MD电荷而节省能量票据。

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