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Title: Safe and Private Forward-trading Platform for Transactive Microgrids

Abstract

Power grids are evolving at an unprecedented pace due to the rapid growth of distributed energy resources (DER) in communities. These resources are very different from traditional power sources, as they are located closer to loads and thus can significantly reduce transmission losses and carbon emissions. However, their intermittent and variable nature often results in spikes in the overall demand on distribution system operators (DSO). To manage these challenges, there has been a surge of interest in building decentralized control schemes, where a pool of DERs combined with energy storage devices can exchange energy locally to smooth fluctuations in net demand. Building a decentralized market for transactive microgrids is challenging, because even though a decentralized system provides resilience, it also must satisfy requirements such as privacy, efficiency, safety, and security, which are often in conflict with each other. As such, existing implementations of decentralized markets often focus on resilience and safety but compromise on privacy. In this article, we describe our platform, called TRANSAX, which enables participants to trade in an energy futures market, which improves efficiency by finding feasible matches for energy trades, enabling DSOs to plan their energy needs better. TRANSAX provides privacy to participants by anonymizing theirmore » trading activity using a distributed mixing service, while also enforcing constraints that limit trading activity based on safety requirements, such as keeping planned energy flow below line capacity. We show that TRANSAX can satisfy the seemingly conflicting requirements of efficiency, safety, and privacy. We also provide an analysis of how much trading efficiency is lost. Trading efficiency is improved through the problem formulation, which accounts for temporal flexibility, and system efficiency is improved using a hybrid-solver architecture. Lastly, we describe a testbed to run experiments and demonstrate its performance using simulation results.« less

Authors:
 [1];  [2];  [1];  [1];  [2];  [1]
+ Show Author Affiliations
  1. Vanderbilt Univ., Nashville, TN (United States)
  2. Univ. of Houston, TX (United States)
Publication Date:
Research Org.:
Vanderbilt Univ., Nashville, TN (United States)
Sponsoring Org.:
USDOE Advanced Research Projects Agency - Energy (ARPA-E); National Science Foundation (NSF)
OSTI Identifier:
1768837
Report Number(s):
DOE-VANDERBILT-0000666-37
Journal ID: ISSN 2378-962X
Grant/Contract Number:  
AR0000666; CNS-1647015; CNS-1818901; CNS-1840052
Resource Type:
Accepted Manuscript
Journal Name:
ACM Transactions on Cyber-Physical Systems
Additional Journal Information:
Journal Volume: 5; Journal Issue: 1; Journal ID: ISSN 2378-962X
Publisher:
Association for Computing Machinery (ACM)
Country of Publication:
United States
Language:
English
Subject:
29 ENERGY PLANNING, POLICY, AND ECONOMY; transactive microgrid; distributed energy resources; smart grid; transactive energy; distributed ledger; privacy; decentralized application; cyber-physical system; smart contract; blockchain

Citation Formats

Eisele, Scott, Eghtesad, Taha, Campanelli, Keegan, Agrawal, Prakhar, Laszka, Aron, and Dubey, Abhishek. Safe and Private Forward-trading Platform for Transactive Microgrids. United States: N. p., 2020. Web. doi:10.1145/3403711.
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Eisele, Scott, Eghtesad, Taha, Campanelli, Keegan, Agrawal, Prakhar, Laszka, Aron, & Dubey, Abhishek. Safe and Private Forward-trading Platform for Transactive Microgrids. United States. https://doi.org/10.1145/3403711
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Eisele, Scott, Eghtesad, Taha, Campanelli, Keegan, Agrawal, Prakhar, Laszka, Aron, and Dubey, Abhishek. Tue . "Safe and Private Forward-trading Platform for Transactive Microgrids". United States. https://doi.org/10.1145/3403711. https://www.osti.gov/servlets/purl/1768837.
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@article{osti_1768837,
title = {Safe and Private Forward-trading Platform for Transactive Microgrids},
author = {Eisele, Scott and Eghtesad, Taha and Campanelli, Keegan and Agrawal, Prakhar and Laszka, Aron and Dubey, Abhishek},
abstractNote = {Power grids are evolving at an unprecedented pace due to the rapid growth of distributed energy resources (DER) in communities. These resources are very different from traditional power sources, as they are located closer to loads and thus can significantly reduce transmission losses and carbon emissions. However, their intermittent and variable nature often results in spikes in the overall demand on distribution system operators (DSO). To manage these challenges, there has been a surge of interest in building decentralized control schemes, where a pool of DERs combined with energy storage devices can exchange energy locally to smooth fluctuations in net demand. Building a decentralized market for transactive microgrids is challenging, because even though a decentralized system provides resilience, it also must satisfy requirements such as privacy, efficiency, safety, and security, which are often in conflict with each other. As such, existing implementations of decentralized markets often focus on resilience and safety but compromise on privacy. In this article, we describe our platform, called TRANSAX, which enables participants to trade in an energy futures market, which improves efficiency by finding feasible matches for energy trades, enabling DSOs to plan their energy needs better. TRANSAX provides privacy to participants by anonymizing their trading activity using a distributed mixing service, while also enforcing constraints that limit trading activity based on safety requirements, such as keeping planned energy flow below line capacity. We show that TRANSAX can satisfy the seemingly conflicting requirements of efficiency, safety, and privacy. We also provide an analysis of how much trading efficiency is lost. Trading efficiency is improved through the problem formulation, which accounts for temporal flexibility, and system efficiency is improved using a hybrid-solver architecture. Lastly, we describe a testbed to run experiments and demonstrate its performance using simulation results.},
doi = {10.1145/3403711},
journal = {ACM Transactions on Cyber-Physical Systems},
number = 1,
volume = 5,
place = {United States},
year = {Tue Dec 01 00:00:00 EST 2020},
month = {Tue Dec 01 00:00:00 EST 2020}
}
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