Management of Unprioritized Loads in an Islanded Microgrid: Algorithms for Scheduling of Historic Load Data and Real-Time Load Management

Jishnu Sankar V C, Ajay Ramadas, Harikrishnan S K, Saurav P K, Abhiram A K, Sachin Harikrishna P L, M. Nair
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引用次数: 2

Abstract

Balancing of generation and load in a grid is done using generation control. But in the case of an islanded microgrid using Distributed Energy Resources (DERs), there are chances that the load would exceed the maximum generation of the system, causing a total breakdown of the system and thus a blackout. The best method to overcome this likely event is the implementation of load management. Load management accompanied by Demand Response (DR) ensures that the load remains balanced while the consumer is in control of the energy they consume. Load management utilizes modern advancements like IoT and cloud computing to involve the consumers and negate the wall between them and the electric companies. In this work load management is achieved using two different algorithms - the Optimal Load Scheduling Algorithm (OLSA) and the Optimal Real-Time Load Sharing Algorithm (ORSA). Together, the algorithms ensure that the load is satisfied with a day ahead schedule and during real-time.
孤岛微电网中非优先负荷的管理:历史负荷数据调度和实时负荷管理算法
电网中发电和负荷的平衡是通过发电控制来实现的。但是在使用分布式能源(DERs)的孤岛微电网的情况下,有可能负载将超过系统的最大发电量,导致系统完全崩溃,从而导致停电。克服这种可能发生的事件的最佳方法是实现负载管理。伴随着需求响应(DR)的负载管理确保在用户控制其消耗的能源时负载保持平衡。负载管理利用物联网和云计算等现代先进技术,让消费者参与进来,消除了他们与电力公司之间的隔阂。在这种情况下,工作负载管理使用两种不同的算法-最优负载调度算法(OLSA)和最优实时负载共享算法(ORSA)来实现。总之,算法确保负载是满足提前一天的时间表和实时。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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