Real-Time Model Predictive Control of Battery Energy Storage Active and Reactive Power to Support the Distribution Network Operation

Ahmed A.Raouf Mohamed*, D John Morrow, Robert J. Best

*Corresponding author for this work

Research output: Contribution to conferencePaperpeer-review

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Abstract

This paper proposes a model predictive control technique to optimally dispatch of battery energy storage systems (BESS) installed on the medium voltage distribution network to manage the violations in addition to enhancing the power quality and stability. A two-phase strategy is developed to manage the BESS inverter power on the four active/reactive power quadrants. A multiobjective function is formulated in order to optimize the system voltage, power factor and line losses. The uncertainties associated with demand and generation forecasting are considered in the proposed strategy by introducing a real-time operational phase. The network, BESS, and inverter technical constraints are considered, and the proposed strategy is validated by simulating different scenarios on an 11 kV, 53-node distribution network located in Northern Ireland.
Original languageEnglish
Publication statusAccepted - 01 Nov 2020
EventThe 9th International Conference on Renewable Power Generation - Dublin, Ireland
Duration: 01 Mar 2021 → …
Conference number: 9
https://rpg.theiet.org/

Conference

ConferenceThe 9th International Conference on Renewable Power Generation
Abbreviated titleIET RPG 2021
CountryIreland
CityDublin
Period01/03/2021 → …
Internet address

Keywords

  • Battery Energy Storage System
  • Distribution Networks
  • Model Predictive Control
  • Inverter
  • Optimization

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