Distributed Optimization for Integrated Frequency Regulation and Economic Dispatch in Microgrids

Xu, Yiqiao; Dong, Zhen; Li, Zhongguo; Liu, Yixing; Ding, Zhengtao

doi:10.1109/tsg.2021.3089421

Cited by 26 publications

(3 citation statements)

References 46 publications

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“…However, in the implemented consensus protocols, there is no auxiliary variable that ensures the consistency of the dual variables, which will result in the energy not being truly balanced. Therefore, an organic combination of the above methods, a projected gradient (PGA) algorithm with event-triggered communication is shown in Figure 3, for which the selection and setting of parameters can be found in the literature [25] and will not be repeated here.…”

Section: Projected Gradient (Pga) Algorithm Based On Event-triggered ...mentioning

confidence: 99%

Distributed Optimization of Islanded Microgrids Integrating Multi-Type VSG Frequency Regulation and Integrated Economic Dispatch

Xu,

Sun,

Huang

et al. 2024

Energies

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The question of how to simultaneously perform frequency regulation and integrated economic scheduling for microgrids with low-inertia islanding operation under communication constraints is a difficult problem that needs to be solved for many current applications. To this end, this paper establishes a microgrid scheduling control model containing a virtual synchronous generator (VSG) with multiple types of power sources and proposes a distributed optimization algorithm that integrates frequency regulation and comprehensive economic scheduling to simultaneously realize frequency regulation and economic scheduling in a microgrid. Firstly, a distributed economic dispatch problem is proposed based on a comprehensive consideration of the costs and benefits of various types of power VSGs, as well as the overall inertia and standby capacity requirements of the microgrid, which minimizes the integrated costs incurred by the participation of each type of VSG in the frequency regulation and improves the stable operation of the microgrid in terms of frequency under perturbation. Then, the optimal scheduling problem is solved by reconstructing the optimization problem based on considering the dynamic characteristics of microgrid inverters and using event-triggered communication to sense and compensate for the supply-demand imbalance online. The proposed method can avoid inter-layer coordination across time scales, improve the inertia, frequency regulation capability, and economy of the system, and enhance its robustness to short-term communication failures. Finally, simulation results are used to verify the effectiveness of the method.

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Section: Projected Gradient (Pga) Algorithm Based On Event-triggered ...mentioning

confidence: 99%

Distributed Optimization of Islanded Microgrids Integrating Multi-Type VSG Frequency Regulation and Integrated Economic Dispatch

Xu,

Sun,

Huang

et al. 2024

Energies

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“…In this section, the small signal model of the studied system is obtained. In this paper, the stability analysis associated with real and reactive powers are considered and since the other dynamics such as voltage control loop and the current control loop are faster, their effects therefore omitted [39].…”

Section: Stability Analysis Of Operational Optimization Of Networked ...mentioning

confidence: 99%

“…To obtain the frequency dynamic, the filtered real power in (24a) should be plugged into (5a). Similarly, by combining the filtered reactive power (24b) and voltage droop control (5b), the voltage dynamic is derived [39], [40]:…”

Section: Stability Analysis Of Operational Optimization Of Networked ...mentioning

confidence: 99%

Computationally Distributed and Asynchronous Operational Optimization of Droop-Controlled Networked Microgrids

Nikmehr

Bragin

Zhang

et al. 2022

IEEE Open J. Power Energy

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Networked microgrids (MGs) with inverter-based and droopcontrolled distributed energy resources (DERs) require operational optimization with guaranteed stability performance to ensure the stable energy supply with minimum cost, yet it remains an open challenge. Additionally, the discrete nature of MGs leads to convergence issues to existing optimization methods thereby leading to difficulties obtaining feasible solutions for large-scale networks. This article develops a paradigm for discrete droop control to improve microgrids' controllability in managing voltage and frequency fluctuations. With the emergence of Internet of Things, the computational tasks are distributed among local resources. The utilized Distributed and Asynchronous Surrogate Lagrangian Relaxation (DA-SLR) method distributes the optimization tasks among the MGs and efficiently coordinates the distributed subsystems. A small-signal model of the operational optimization is then developed to verify the system's stability. Numerous case studies have proven the DA-SLR's efficacy in comparison to various variations of the alternating direction of multipliers method (ADMM).

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A dynamics-constrained method for distributed frequency regulation in low-inertia power systems

Yang

2023

Applied Energy

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Distributed Optimization for Integrated Frequency Regulation and Economic Dispatch in Microgrids

Cited by 26 publications

References 46 publications

Distributed Optimization of Islanded Microgrids Integrating Multi-Type VSG Frequency Regulation and Integrated Economic Dispatch

Distributed Optimization of Islanded Microgrids Integrating Multi-Type VSG Frequency Regulation and Integrated Economic Dispatch

Computationally Distributed and Asynchronous Operational Optimization of Droop-Controlled Networked Microgrids

A dynamics-constrained method for distributed frequency regulation in low-inertia power systems

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