Two-Stage Robust Optimization for Assessment of PV Hosting Capacity Based on Decision-Dependent Uncertainty

IF 5.7 1区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC Journal of Modern Power Systems and Clean Energy Pub Date : 2024-01-02 DOI:10.35833/MPCE.2023.000488
Haifeng Qiu;Veerapandiyan Veerasamy;Chao Ning;Qirun Sun;Hoay Beng Gooi
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Abstract

Photovoltaic (PV) generation always exhibits strong uncertainty and variability; therefore, its excessive integration brings huge risks to the safe operation of power systems. In this letter, a two-stage robust optimization approach based on decision-dependent uncertainty is devised to identify the PV hosting capacity that can be accepted to ensure the effective consumption of PV generation under uncertainty. The proposed approach is validated by numerical experiments for a microgrid and a distribution network.
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基于决策不确定性的光伏主机容量评估两阶段稳健优化法
光伏(PV)发电总是表现出很强的不确定性和可变性,因此,过度并网会给电力系统的安全运行带来巨大风险。在这封信中,我们设计了一种基于决策不确定性的两阶段稳健优化方法,以确定可接受的光伏托管容量,从而确保光伏发电在不确定性条件下的有效消耗。针对微电网和配电网的数值实验验证了所提出的方法。
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
Journal of Modern Power Systems and Clean Energy
Journal of Modern Power Systems and Clean Energy ENGINEERING, ELECTRICAL & ELECTRONIC-
CiteScore
12.30
自引率
14.30%
发文量
97
审稿时长
13 weeks
期刊介绍: Journal of Modern Power Systems and Clean Energy (MPCE), commencing from June, 2013, is a newly established, peer-reviewed and quarterly published journal in English. It is the first international power engineering journal originated in mainland China. MPCE publishes original papers, short letters and review articles in the field of modern power systems with focus on smart grid technology and renewable energy integration, etc.
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