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Comparison of economic model predictive control and rule-based control for residential energy storage systems

Journal Article


Abstract


  • This study quantifies the benefits of implementing model predictive control on residential solar PV and energy storage systems considering a time-of-use demand tariff, feed-in tariff and varying PV system sizes and battery life-cycle costs. The control system analysed makes use of economic model predictive control (EMPC) whereby the objective function is directly tied to the economics of the system. Using residential load and PV data from an Australian distribution network service provider, the EMPC controller is compared to a rule-based controller, highlighting the benefits of EMPC in regards to annual economic performance and battery energy throughput. The EMPC algorithm is then tested using 10 residential customers at the low voltage feeder level showing the capacity for the EMPC controller to shift peak demand and flatten the aggregated load profile of 30 residential customers.

Publication Date


  • 2020

Citation


  • Banfield, B., Robinson, D. A., & Agalgaonkar, A. P. (2020). Comparison of economic model predictive control and rule-based control for residential energy storage systems. IET Smart Grid, 3(5), 722-729. doi:10.1049/iet-stg.2020.0090

Scopus Eid


  • 2-s2.0-85095864605

Start Page


  • 722

End Page


  • 729

Volume


  • 3

Issue


  • 5

Place Of Publication


Abstract


  • This study quantifies the benefits of implementing model predictive control on residential solar PV and energy storage systems considering a time-of-use demand tariff, feed-in tariff and varying PV system sizes and battery life-cycle costs. The control system analysed makes use of economic model predictive control (EMPC) whereby the objective function is directly tied to the economics of the system. Using residential load and PV data from an Australian distribution network service provider, the EMPC controller is compared to a rule-based controller, highlighting the benefits of EMPC in regards to annual economic performance and battery energy throughput. The EMPC algorithm is then tested using 10 residential customers at the low voltage feeder level showing the capacity for the EMPC controller to shift peak demand and flatten the aggregated load profile of 30 residential customers.

Publication Date


  • 2020

Citation


  • Banfield, B., Robinson, D. A., & Agalgaonkar, A. P. (2020). Comparison of economic model predictive control and rule-based control for residential energy storage systems. IET Smart Grid, 3(5), 722-729. doi:10.1049/iet-stg.2020.0090

Scopus Eid


  • 2-s2.0-85095864605

Start Page


  • 722

End Page


  • 729

Volume


  • 3

Issue


  • 5

Place Of Publication