Frequency-Constrained Coordinated Scheduling for Asynchronous AC Systems Under Uncertainty via Distributional Robustness

IF 7.9 2区计算机科学 Q1 ENGINEERING, MULTIDISCIPLINARY

IEEE Transactions on Network Science and Engineering Pub Date : 2025-06-09 DOI:10.1109/TNSE.2025.3577278

Lun Yang;Xiaoyu Cao;Yuzhou Zhou;Zhenjia Lin;Jianguo Zhou;Xiaohong Guan;Qiuwei Wu

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引用次数: 0

Abstract

The increasing penetration of renewable energy integration in asynchronous AC systems is gradually lowering the system inertia. Concurrently, the asynchronous interconnection with high-voltage direct current (HVDC) links will limit the frequency regulation resources sharing between sending- and receiving-end grids. These issues put the frequency security of asynchronous AC systems at risk. In this context, we propose a coordinated scheduling model for the asynchronous AC systems that co-optimizes frequency regulation resources from generators, wind farms, HVDC fast-act corrections, and non-critical load shedding, and energy storage systems while guaranteeing frequency security following a contingency. The proposed model explicitly accounts for frequency constraints and manages wind power uncertainty by designing distributionally robust joint chance constraints under the Wasserstein-metric ambiguity set. We show the proposed model admits an optimization model with bi-convex constraints and then develop a sequential solution algorithm to solve it. Case studies demonstrate the effectiveness of the proposed method.

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基于分布鲁棒性的不确定异步交流系统频率约束协调调度

随着可再生能源在异步交流系统中的普及，系统惯性逐渐降低。同时，高压直流（HVDC）链路的异步互联将限制发、受端电网的调频资源共享。这些问题使异步交流系统的频率安全性处于危险之中。在此背景下，我们提出了一种异步交流系统的协调调度模型，该模型可以共同优化来自发电机、风电场、HVDC快速修正、非关键减载和储能系统的频率调节资源，同时保证突发事件后的频率安全。该模型明确考虑了频率约束，并通过在Wasserstein-metric模糊集下设计分布式鲁棒联合机会约束来管理风力发电的不确定性。我们证明了所提出的模型允许一个具有双凸约束的优化模型，然后开发了一个顺序求解算法来求解它。实例研究表明了该方法的有效性。

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来源期刊

IEEE Transactions on Network Science and Engineering Engineering-Control and Systems Engineering

CiteScore

12.60

自引率

9.10%

发文量

393

期刊介绍： The proposed journal, called the IEEE Transactions on Network Science and Engineering (TNSE), is committed to timely publishing of peer-reviewed technical articles that deal with the theory and applications of network science and the interconnections among the elements in a system that form a network. In particular, the IEEE Transactions on Network Science and Engineering publishes articles on understanding, prediction, and control of structures and behaviors of networks at the fundamental level. The types of networks covered include physical or engineered networks, information networks, biological networks, semantic networks, economic networks, social networks, and ecological networks. Aimed at discovering common principles that govern network structures, network functionalities and behaviors of networks, the journal seeks articles on understanding, prediction, and control of structures and behaviors of networks. Another trans-disciplinary focus of the IEEE Transactions on Network Science and Engineering is the interactions between and co-evolution of different genres of networks.