A Distributed Framework for Intense Ramping Management in Distribution Networks

Sajjad Fattaheian-Dehkordi, Ali Abbaspour, Mahmud Fotuhi-Firuzabad, Matti Lehtonen

Research output: Contribution to journalArticleScientificpeer-review

1 Citation (Scopus)
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Abstract

High-penetration of renewable energy sources (RESs) in power networks has resulted in new operational challenges in the system. Accordingly, due to the uncertainty as well as variability of power-outputs of RESs, the flexibility ramping capacity of the system should be improved. Accordingly, system operators would rely on local responsive resources (LRSs) in distribution networks (DNs) to guarantee the demand-supply balance in each area of the system and minimize its associated ramping requirements. Nevertheless, the introduction of multimicrogrid (multi-MG) structures would limit the direct-access of system operators over the LRSs scheduling. As a result, this paper aims to develop a novel framework for intense-ramping management in multi-MG systems to settle the demand-supply gap in the system while addressing the distributed nature of the network. Respectively, alternating direction method of multipliers (ADMM) is employed to develop a decentralized coordination scheme in the system. Moreover, transactive energy control signals are utilized in the context of the ADMM-algorithm in order to exploit the LRSs scheduling to address the ramping constraints of the overall system. Lastly, the scheme is simulated on 37-bus and 123-bus DNs to analyze its efficacy in the management of intense ramping conditions in multi-MG DNs.

Original languageEnglish
Number of pages12
JournalIEEE Transactions on Smart Grid
Early online date18 Aug 2022
DOIs
Publication statusE-pub ahead of print - 18 Aug 2022
MoE publication typeA1 Journal article-refereed

Keywords

  • Costs
  • Distributed Management
  • Distribution networks
  • DNA
  • Multi-microgrid system
  • Optimization
  • Ramping management
  • Renewable energy
  • Renewable energy sources
  • Responsive resources
  • Transactive control
  • Transactive energy
  • Uncertainty

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