Robust energy management for microgrids with high-penetration renewables

Yu Zhang, Nikolaos Gatsis, Georgios B Giannakis

Research output: Contribution to journalArticlepeer-review

449 Scopus citations

Abstract

Due to its reduced communication overhead and robustness to failures, distributed energy management is of paramount importance in smart grids, especially in microgrids, which feature distributed generation (DG) and distributed storage (DS). Distributed economic dispatch for a microgrid with high renewable energy penetration and demand-side management operating in grid-connected mode is considered in this paper. To address the intrinsically stochastic availability of renewable energy sources (RES), a novel power scheduling approach is introduced. The approach involves the actual renewable energy as well as the energy traded with the main grid, so that the supply-demand balance is maintained. The optimal scheduling strategy minimizes the microgrid net cost, which includes DG and DS costs, utility of dispatchable loads, and worst-case transaction cost stemming from the uncertainty in RES. Leveraging the dual decomposition, the optimization problem formulated is solved in a distributed fashion by the local controllers of DG, DS, and dispatchable loads. Numerical results are reported to corroborate the effectiveness of the novel approach.

Original languageEnglish (US)
Article number6510507
Pages (from-to)944-953
Number of pages10
JournalIEEE Transactions on Sustainable Energy
Volume4
Issue number4
DOIs
StatePublished - 2013

Keywords

  • Demand side management
  • distributed algorithms
  • distributed energy resources
  • economic dispatch
  • energy management
  • microgrids
  • renewable energy
  • robust optimization

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