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Distributed MPC of Residential Energy Storage for Voltage Regulation and Peak Shaving along Radial Distribution Feeders

Journal Article


Abstract


  • This article presents two low bandwidth distributed model predictive control (MPC) based algorithms for the coordinated control of residential energy storage (ES) to mitigate overvoltage and reduce peak demand along LV radial distribution feeders. Each ES unit consists of a low level controller (LLC) that utilises MPC with three distinct objective functions that can optimise for financial benefit, voltage regulation and peak shaving. These modes are activated via binary signals sent by the high level controller (HLC). The HLC, operating at the feeder level, determines if any network violations such as overvoltage or overloading are predicted to occur. Using inter-bus P, |V| and Δ P data, the HLC determines the minimum ES units to dispatch to mitigate these issues. The result is a very low bandwidth distributed control architecture with low computational complexity, that can achieve acceptable network operating conditions while dispatching the minimum number of ES units. The proposed distributed MPC algorithms were shown to outperform decentralised control strategies for voltage regulation and peak shaving from the Australian Standards and also had significantly less computational requirements than a centralised MPC controller to achieve the same network overvoltage and peak load objectives.

Publication Date


  • 2021

Citation


  • Banfield, B., Robinson, D. A., & Agalgaonkar, A. P. (2021). Distributed MPC of Residential Energy Storage for Voltage Regulation and Peak Shaving along Radial Distribution Feeders. IEEE Transactions on Energy Conversion, 36(2), 1413-1424. doi:10.1109/TEC.2020.3033507

Scopus Eid


  • 2-s2.0-85106967230

Start Page


  • 1413

End Page


  • 1424

Volume


  • 36

Issue


  • 2

Abstract


  • This article presents two low bandwidth distributed model predictive control (MPC) based algorithms for the coordinated control of residential energy storage (ES) to mitigate overvoltage and reduce peak demand along LV radial distribution feeders. Each ES unit consists of a low level controller (LLC) that utilises MPC with three distinct objective functions that can optimise for financial benefit, voltage regulation and peak shaving. These modes are activated via binary signals sent by the high level controller (HLC). The HLC, operating at the feeder level, determines if any network violations such as overvoltage or overloading are predicted to occur. Using inter-bus P, |V| and Δ P data, the HLC determines the minimum ES units to dispatch to mitigate these issues. The result is a very low bandwidth distributed control architecture with low computational complexity, that can achieve acceptable network operating conditions while dispatching the minimum number of ES units. The proposed distributed MPC algorithms were shown to outperform decentralised control strategies for voltage regulation and peak shaving from the Australian Standards and also had significantly less computational requirements than a centralised MPC controller to achieve the same network overvoltage and peak load objectives.

Publication Date


  • 2021

Citation


  • Banfield, B., Robinson, D. A., & Agalgaonkar, A. P. (2021). Distributed MPC of Residential Energy Storage for Voltage Regulation and Peak Shaving along Radial Distribution Feeders. IEEE Transactions on Energy Conversion, 36(2), 1413-1424. doi:10.1109/TEC.2020.3033507

Scopus Eid


  • 2-s2.0-85106967230

Start Page


  • 1413

End Page


  • 1424

Volume


  • 36

Issue


  • 2