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- W4315694892 abstract "We propose a two-stage model predictive control (MPC) based optimization framework to enable regulation market participation for battery energy storage systems (BESSs). Specifically, the first stage of the optimization, named “Stage-A”, aims to compute optimal charging and discharging power references for the BESS. The second stage, named “Stage-B”, aims to track the regulation signal closely, while working in conjunction with Stage-A. The proposed framework can be readily extended to multiple number of BESSs and can be also configured to support different regulation market models. We consider Singapore regulation market as a case study and show that the model can strictly abide by market rules of state of charge (SOC) based basepoint setting and prevention of reverse behavior, while following the regulation signal closely." @default.
- W4315694892 created "2023-01-12" @default.
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- W4315694892 date "2022-11-01" @default.
- W4315694892 modified "2023-09-30" @default.
- W4315694892 title "Two-Stage Optimization Framework for Battery Energy Storage System Co-Optimization in Regulation Market" @default.
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- W4315694892 doi "https://doi.org/10.1109/isgtasia54193.2022.10003541" @default.
- W4315694892 hasPublicationYear "2022" @default.
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