Pub Date : 2020-12-08DOI: 10.1109/TESC50295.2020.9656939
Sumitrra Ganguli, A. Somani, T. Hardy
Economic theory has come to play an important role in power system operations through the design of whole-sale markets that are central to their operation. Furthermore, transactive energy places economic theory as a cornerstone in its operational concept as it seeks to integrate the technical needs of the power system with the preferences of its participants. Traditionally the mechanism employed is the continuous double-auction, but depending on the circumstances in which the power system finds itself, this mechanism may or may not be the most appropriate; that is, a one-size-fits-all market institution cannot be recommended without regard for the features of the underlying trading environment. To better understand which types of mechanisms are most appropriate under what circumstances, this paper explains the economic rationale that guides the choice of a market institution and uses a theoretical demonstration in the context of a rationed power system scenario in which demand exceeds generation (due to any number of events such as outages, microgrid operation, etc.) and electrical energy must be rationed.
{"title":"Allocation Mechanisms in Rationed Markets","authors":"Sumitrra Ganguli, A. Somani, T. Hardy","doi":"10.1109/TESC50295.2020.9656939","DOIUrl":"https://doi.org/10.1109/TESC50295.2020.9656939","url":null,"abstract":"Economic theory has come to play an important role in power system operations through the design of whole-sale markets that are central to their operation. Furthermore, transactive energy places economic theory as a cornerstone in its operational concept as it seeks to integrate the technical needs of the power system with the preferences of its participants. Traditionally the mechanism employed is the continuous double-auction, but depending on the circumstances in which the power system finds itself, this mechanism may or may not be the most appropriate; that is, a one-size-fits-all market institution cannot be recommended without regard for the features of the underlying trading environment. To better understand which types of mechanisms are most appropriate under what circumstances, this paper explains the economic rationale that guides the choice of a market institution and uses a theoretical demonstration in the context of a rationed power system scenario in which demand exceeds generation (due to any number of events such as outages, microgrid operation, etc.) and electrical energy must be rationed.","PeriodicalId":365421,"journal":{"name":"2020 IEEE PES Transactive Energy Systems Conference (TESC)","volume":"1006 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123107955","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-12-08DOI: 10.1109/TESC50295.2020.9656872
J. Campillo, J. Dominguez-Jimenez, H. Ariza, E. Payares, J. Martinez-Santos
An increased share of distributed renewable energy sources requires flexible tools for providing reliable and cheap electricity. Smart meters provide information at the consumer level, which could be used as the main source for real-time energy micro-transactions, however, one of the main concerns about direct transactions is information security. Conventional electricity markets rely on centralized information exchange, nevertheless, when intra-day, distributed, electricity consumption and production exchanges are required between customers, this approach might not be enough. This paper presents a proof-of-concept for using Blockchain as a tool for managing the operational transactions in a DC microgrid. The distributed nature of this technology provides an inherently safer approach, by providing an immutable database for transaction history. One of the challenges of using this technology, however, is the required computing power at the nodes and the limited capacity available in the smart meter. To overcome these issues, the authors used a distributed computing technology, -edge computing-, where computation and storage are located closer to the customer, to improve response times by handling the required computational tasks of the Blockchain tool. This approach proved not only to be practically viable but also, offers important insights about the scalability and capabilities of the technology.
{"title":"Distributed Energy Resources Parameter Monitoring in Microgrids Using Blockchain and Edge Computing","authors":"J. Campillo, J. Dominguez-Jimenez, H. Ariza, E. Payares, J. Martinez-Santos","doi":"10.1109/TESC50295.2020.9656872","DOIUrl":"https://doi.org/10.1109/TESC50295.2020.9656872","url":null,"abstract":"An increased share of distributed renewable energy sources requires flexible tools for providing reliable and cheap electricity. Smart meters provide information at the consumer level, which could be used as the main source for real-time energy micro-transactions, however, one of the main concerns about direct transactions is information security. Conventional electricity markets rely on centralized information exchange, nevertheless, when intra-day, distributed, electricity consumption and production exchanges are required between customers, this approach might not be enough. This paper presents a proof-of-concept for using Blockchain as a tool for managing the operational transactions in a DC microgrid. The distributed nature of this technology provides an inherently safer approach, by providing an immutable database for transaction history. One of the challenges of using this technology, however, is the required computing power at the nodes and the limited capacity available in the smart meter. To overcome these issues, the authors used a distributed computing technology, -edge computing-, where computation and storage are located closer to the customer, to improve response times by handling the required computational tasks of the Blockchain tool. This approach proved not only to be practically viable but also, offers important insights about the scalability and capabilities of the technology.","PeriodicalId":365421,"journal":{"name":"2020 IEEE PES Transactive Energy Systems Conference (TESC)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130860934","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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