Distributed Energy Trading: The Multiple-Microgrid Case

By David Gregoratti, Javier Matamoros. IEEE transactions on industrial electronics (1982. Print), 2013

302 citations recorded by the source corpus.

In this paper, a distributed convex optimization framework is developed for energy trading between islanded microgrids. More specifically, the problem consists of several islanded microgrids that exchange energy flows by means of an arbitrary topology. Due to scalability issues and in order to safeguard local information on cost functions, a subgradient-based cost minimization algorithm that converges to the optimal solution in a practical number of iterations and with limited communication overhead is proposed. Furthermore, this approach allows for a very intuitive economics interpretation that explains the algorithm iterations in terms of a “supply-demand model” and “market clearing.” Numerical results are given in terms of the convergence rate of the algorithm and the attained costs for different network topologies.

Subfields: Control and Systems Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/eedd3ecb87493860a906a852134156f54e2f7e43

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In Control and Systems Engineering

  1. Thomas Morstyn
  2. Malcolm Duncan McCulloch
  3. Alexander Teytelboym
  4. Yan Zhang
  5. Hao Wang
  6. Jianwei Huang
  7. Qiuwei Wu
  8. H. Jia

In Electrical and Electronic Engineering

  1. Thomas Morstyn
  2. Sabita Maharjan
  3. Malcolm Duncan McCulloch
  4. Yan Zhang
  5. Alexander Teytelboym
  6. Hao Wang
  7. Jianwei Huang
  8. Chau Yuen

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