A coordinated control method of aggregate AC load for auxiliary frequency regulation service

Dai, Jianfeng; Liu, Yishi; Yan, Cheng; Tang, Yi; Zhou, Xia; Xue, Feng

doi:10.1016/j.ijepes.2022.108912

Cited by 5 publications

(2 citation statements)

References 28 publications

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“…Based on existing literature, few have implemented DR share [22], [32] [35] in FR modeling for improved system performance. Reference [35] offers a framework for combining multi-machine models analytically with DR, while [33] shows the impact of DR regulatory support on frequency deviation characteristics.…”

Section: Research Gap and Motivationmentioning

confidence: 99%

“…Reference [35], [37] include BES and DR, whereas [38], [39] do not discuss DR schemes for power grid frequency control. The efficiency of DR control in frequency stabilization has been highlighted in numerous studies [22], [32] [36], but [33] has yet to investigate the robustness of the ad-ditional and DR control approach for grid physical constraints. The potential impact of communication delay on the DR method is an intriguing aspect that references [22], [23] could further explore to uncover valuable insights.…”

Section: Research Gap and Motivationmentioning

confidence: 99%

See 1 more Smart Citation

An Interactive Operating Demand Response Approach for Hybrid Power Systems Integrating Renewable Energy Sources

Saxena,

Shankar

2024

Prot. Control Mod. Power Syst.

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The increased deployment of renewable energy in existing power networks has jeopardized rotational inertia, resulting in system degradation and instability. To address the issue, this paper proposes a demand response strategy for ensuring the future reliability of the electrical power system. In addition, a modified fuzzy logic control topology-based two-degree-of-freedom (fractional order proportional integral)-tilt derivative controller is designed to regulate the frequency within a demand response framework of a hybrid two-area deregulated power system. The test system includes thermal power plants, renewable energy sources (such as wind, parabolic trough solar thermal plant, biogas), and electric vehicle assets. To adaptively tune the controller's coefficients, a quasi-opposition-based harris hawks optimization (QOHHO) algorithm is developed. The effectiveness of this algorithm is compared to other optimization algorithms, and the stability of the system is evaluated. The results demonstrate that the designed control algorithm significantly enhances system frequency stability in various scenarios, including uncertainties, physical constraints, and high penetration of renewables, compared to existing work. Additionally, an experimental assessment through OPAL-RT is conducted to verify the practicality of the proposed strategy, considering source and load intermittencies.

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