Enhanced frequency aware microgrid scheduling towards seamless islanding under frequency support of heterogeneous resources: A distributionally robust chance constrained approach

IF 5 2区工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC

International Journal of Electrical Power & Energy Systems Pub Date : 2024-10-19 DOI:10.1016/j.ijepes.2024.110310

Danyang Xu, Zhigang Wu

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引用次数: 0

Abstract

This paper introduces an enhanced frequency aware microgrid scheduling (E-FAMS) model designed to achieve seamless islanding (SI) for microgrids after experiencing an unintentional islanding event (UIE). The model addresses uncertainties in load forecasting and demand-side resources’ (DSRs) frequency support, described using a Wasserstein-metric ambiguity set, through the distributionally robust chance constrained (DRCC) approach. It concurrently optimizes unit commitment, generation dispatch, reserve capacity, power exchange, and the frequency response of heterogeneous frequency support resources (HFSRs). A quadratic frequency (QF) approach is proposed to derive sufficient conditions for the maximum frequency deviation (MFD) constraints, which are then convexified using the piecewise linear of multivariable functions (PWL-MFs) technique and integrated into the proposed model. Case study results confirm the effectiveness of the proposed model, providing a novel solution for SI in microgrids.

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增强频率感知微电网调度，实现异构资源频率支持下的无缝孤岛：分布稳健的机会约束方法

本文介绍了一种增强型频率感知微电网调度（E-FAMS）模型，旨在实现微电网在经历无意孤岛事件（UIE）后的无缝孤岛（SI）。该模型通过分布式稳健机会约束（DRCC）方法，解决了负荷预测和需求侧资源（DSR）频率支持中的不确定性问题，这些不确定性使用瓦瑟斯坦计量模糊集进行描述。该方法可同时优化机组承诺、发电调度、储备容量、电力交换以及异构频率支持资源（HFSR）的频率响应。提出了一种二次频率（QF）方法来推导最大频率偏差（MFD）约束的充分条件，然后使用多变量函数的分片线性（PWL-MFs）技术对其进行凸化，并将其集成到所提出的模型中。案例研究结果证实了所提模型的有效性，为微电网中的 SI 提供了一种新的解决方案。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal of Electrical Power & Energy Systems 工程技术-工程：电子与电气

CiteScore

12.10

自引率

17.30%

发文量

1022

审稿时长

51 days

期刊介绍： The journal covers theoretical developments in electrical power and energy systems and their applications. The coverage embraces: generation and network planning; reliability; long and short term operation; expert systems; neural networks; object oriented systems; system control centres; database and information systems; stock and parameter estimation; system security and adequacy; network theory, modelling and computation; small and large system dynamics; dynamic model identification; on-line control including load and switching control; protection; distribution systems; energy economics; impact of non-conventional systems; and man-machine interfaces. As well as original research papers, the journal publishes short contributions, book reviews and conference reports. All papers are peer-reviewed by at least two referees.