Jishnu Sankar V C, Ajay Ramadas, Harikrishnan S K, Saurav P K, Abhiram A K, Sachin Harikrishna P L, M. Nair
{"title":"Management of Unprioritized Loads in an Islanded Microgrid: Algorithms for Scheduling of Historic Load Data and Real-Time Load Management","authors":"Jishnu Sankar V C, Ajay Ramadas, Harikrishnan S K, Saurav P K, Abhiram A K, Sachin Harikrishna P L, M. Nair","doi":"10.1109/i-PACT44901.2019.8960207","DOIUrl":null,"url":null,"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.","PeriodicalId":214890,"journal":{"name":"2019 Innovations in Power and Advanced Computing Technologies (i-PACT)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 Innovations in Power and Advanced Computing Technologies (i-PACT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/i-PACT44901.2019.8960207","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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.