Spatio‐temporal and power–energy scheduling of mobile battery storage for mitigating wind and solar energy curtailment in distribution networks

Hedayat Saboori, Shahram Jadid*, Mehdi Savaghebi*

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

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Abstract

Several technical, computational, and economic barriers have caused curtailing a share of renewable‐based power generation, especially in systems with higher penetration levels. The Mobile Battery Energy Storage (MBES) can cope with this problem considering the spatial and temporal distribution of the curtailed energy. Accordingly, a new operation model is proposed for optimal scheduling of the MBES in a distribution network with wind and photovoltaic (PV) resources. The network experiences curtailment situations because of bus overvoltage, feeder overload, and power over‐generation. The MBES is a truck‐mounted battery system compacted in a container. The proposed model seeks to determine the optimal spatio‐temporal and power–energy status of the MBES to achieve a minimum curtailment ratio. The model considers transportation time and cost of the MBES efficiently while both active and reactive power exchanges are modeled. The model is linear, without convergence and optimality problems, applicable to real‐life large‐scale networks, and can be easily integrated into the commercial distribution management software. The implementation results on a test system demonstrate its functionality to recover a considerable share of the curtailed energy for both wind and PV resources at all curtailment patterns and scenarios.

Original languageEnglish
Article number4853
JournalEnergies
Volume14
Issue number16
Number of pages19
ISSN1996-1073
DOIs
Publication statusPublished - 9. Aug 2021

Keywords

  • Distribution network
  • Mobile battery energy storage system
  • Solar curtailment mitigation
  • Truck‐mounted battery
  • Wind curtailment mitiga-tion

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