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Dynamic Containment Service from Industrial Demand Response Resources Coordinated with Energy Storage Systems

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posted on 2024-11-07, 15:19 authored by Chuanshen WuChuanshen Wu, Yue ZhouYue Zhou, Wei GanWei Gan, Jianzhong WuJianzhong Wu

Industrial Demand Response Resources (DRRs) are widely used in the frequency response service market. A Virtual Energy Storage System (VESS) model is developed to enable industrial DRRs to participate in the Dynamic Cointainment (DC) service by coordinating with an Energy Storage System (ESS). The power and energy capacity of the ESS are determined by considering its complementary characteristics with industrial DRRs, enabling the VESS to successfully provide the DC service as a whole under the proposed control strategy. Meanwhile, the operational baseline of the ESS is updated based on the “state of energy” management rules for energy-limited units as defined in the DC service.

“Numerical results and figures.xlsx” provides the numerical results of Fig. 6 - Fig. 11 of the paper. It contains seven sheets, providing the data behind Fig. 6 - Fig. 11 of the paper.

In the “Fig. 6” sheet, the x-axis describes the time variable (unit: h), and the y-axis describes grid frequency variation (unit: Hz), delivery ratios of DC high service, related power curves (unit: MW), and state of charge (SOC) changing process of energy storage system-1 in scenario A.

In the “Fig. 7” sheet, the x-axis describes the time variable (unit: h), and the y-axis describes delivery power curves of the virtual energy storage systems (unit: MW), steam power generation (unit: MW), and energy storage system-2 in scenario A.

In the “Fig. 8” sheet, the x-axis describes the time variable (unit: h), and the y-axis describes grid frequency variation (unit: Hz), delivery ratios of DC high service, related power curves (unit: MW), and SOC changing process of energy storage system-1 in scenario B.

In the “Fig. 9” sheet, the x-axis describes the time variable (unit: h), and the y-axis describes delivery power curves of the virtual energy storage systems (unit: MW), steam power generation (unit: MW), and energy storage system-2 in scenario B.

In the “Fig. 10” sheet, the x-axis describes the time variable (unit: h), and the y-axis describes grid frequency variation (unit: Hz), delivery ratios of DC high service, related power curves (unit: MW), and SOC changing process of energy storage system-1 in scenario C.

In the “Fig. 11” sheet, the x-axis describes the time variable (unit: h), and the y-axis describes delivery power curves of the virtual energy storage systems (unit: MW), steam power generation (unit: MW), and energy storage system-2 in scenario C. Moreover, the y-axis also describes recovery power curve (unit: MW), actual power curve (unit: MW), and SOC changing process of ESS-2.




Funding

This work was supported in part by the Engineering and Physical Sciences Research Council under Grant EP/W028573/1 and EP/T022795/1 and by the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 101096946 (FlexCHESS).

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