Pub Date : 2019-07-01DOI: 10.1109/TESC.2019.8843369
D. Hammerstrom, H. Ngo
While many interesting transactive energy systems have been proposed, few fully decentralize price discovery and price-responsive control. Even fewer plan for extensibility that will be needed for the ultimate growth of transactive networks and for the inclusion of additional and new objectives and new flexible, responsive assets. This paper introduces a transactive network template from which an agent may be configured at its network node to negotiate for electricity with other neighboring network agents, manage a set of locally-owned supply and demand assets, and induce local power balance through price discovery. A set of base object classes defines the template and may be extended. Three important basic computational responsibilities are allocated among the base object classes—scheduling, balancing, and network coordination. These several basic classes and responsibilities may be used to represent the perspective of large and small devices and regions anywhere in the electric power grid because they are based on the self-similarity of these objects and responsibilities. Agents in a transactive network are not at all unique in these basic responsibilities. The template is designed to be further extended to address and monetize still other valuable objectives.
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Pub Date : 2019-07-01DOI: 10.1109/TESC.2019.8843371
Zibo Zhao, K. Nakayama, Ratnesh K. Sharma
The power systems worldwide have been embracing the rapid growth of distributed energy resources. Commonly, distributed energy resources exist in the distribution level, such as electric vehicles, rooftop photovoltaic panels, and home battery systems, which cannot be controlled by a centralized entity like a utility. However, a large number of distributed energy resources have potential to reshape the power generation landscape when the owners (prosumers) are allowed to send electricity back to the grids. Transactive energy paradigms are emerging for orchestrating the coordination of prosumers and consumers by enabling the exchange of energy among them. In this paper, we propose a transactive energy auction framework based on blockchain technology for creating trustworthy and transparent transactive environments in distribution networks, which does not rely on a centralized entity to clear transactions. Moreover, we propose intelligent decentralized decision-making strategies by bandit learning for market participants to locally decide their energy prices in auctions. The bandit learning approach can provide market participants with more benefits under the blockchain framework than trading energy with the centralized entity, which is further supported by the preliminary simulated results conducted over our blockchain-based platform.
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Pub Date : 2019-07-01DOI: 10.1109/TESC.2019.8843372
Umit Cali, Claudio Lima, Xuefei Li, Y. Ogushi
Transactive Energy Systems are designed by taking advantage of the advanced control and economic operational functionalities to dynamically balance the electrical demand and supply within the electrical grid using advanced information and communication technologies. Distributed Ledger Technology (DLT), in particular blockchain, is considered one of the promising emerging technologies which is likely to transform the future business and social consumer behavior in several industrial segments. In this paper we present blockchain in Energy use cases segmentation and the associated standardization framework activities which are carried out by IEEE Standards Association (SA).
{"title":"DLT / Blockchain in Transactive Energy Use Cases Segmentation and Standardization Framework","authors":"Umit Cali, Claudio Lima, Xuefei Li, Y. Ogushi","doi":"10.1109/TESC.2019.8843372","DOIUrl":"https://doi.org/10.1109/TESC.2019.8843372","url":null,"abstract":"Transactive Energy Systems are designed by taking advantage of the advanced control and economic operational functionalities to dynamically balance the electrical demand and supply within the electrical grid using advanced information and communication technologies. Distributed Ledger Technology (DLT), in particular blockchain, is considered one of the promising emerging technologies which is likely to transform the future business and social consumer behavior in several industrial segments. In this paper we present blockchain in Energy use cases segmentation and the associated standardization framework activities which are carried out by IEEE Standards Association (SA).","PeriodicalId":170674,"journal":{"name":"2019 IEEE PES Transactive Energy Systems Conference (TESC)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114938731","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 : 1900-01-01DOI: 10.1109/TESC.2019.8843370
Eugene Ma, J.C. Dennis, T. Saha
Distributed Battery Energy Storage Systems (BESSs) have the potential to impact every link of the power supply chain. Analysing the impact of different BESS behaviours enables policymakers to design transactive energy markets that maximise the overall value provided by distributed BESSs and minimise the cost of electricity supply for consumers. This paper documents analysis conducted within the Australian state of Queensland. The results show that optimising the behaviour of BESSs for local conditions can consistently provide benefits up the supply chain. Conversely, BESS behaviours optimised for a higher level of the supply chain (such as the state-wide level) do not reliably support lower levels of the supply chain. Thus, the analysis concludes that the overall value of BESSs are maximised when the market and tariff design incentivises behaviour that supports very local conditions.
{"title":"Evaluating Various Battery Behaviours to Maximise Consumer Value Across the Electricity Supply Chain","authors":"Eugene Ma, J.C. Dennis, T. Saha","doi":"10.1109/TESC.2019.8843370","DOIUrl":"https://doi.org/10.1109/TESC.2019.8843370","url":null,"abstract":"Distributed Battery Energy Storage Systems (BESSs) have the potential to impact every link of the power supply chain. Analysing the impact of different BESS behaviours enables policymakers to design transactive energy markets that maximise the overall value provided by distributed BESSs and minimise the cost of electricity supply for consumers. This paper documents analysis conducted within the Australian state of Queensland. The results show that optimising the behaviour of BESSs for local conditions can consistently provide benefits up the supply chain. Conversely, BESS behaviours optimised for a higher level of the supply chain (such as the state-wide level) do not reliably support lower levels of the supply chain. Thus, the analysis concludes that the overall value of BESSs are maximised when the market and tariff design incentivises behaviour that supports very local conditions.","PeriodicalId":170674,"journal":{"name":"2019 IEEE PES Transactive Energy Systems Conference (TESC)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130914457","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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