Two-stage Robust Optimization for Assessment of PV Hosting Capacity Based on Decision-dependent Uncertainty  

作　　者：Haifeng Qiu Veerapandiyan Veerasamy Chao Ning Qirun Sun Hoay Beng Gooi 

机构地区：[1]School of Electrical and Electronic Engineering,Nanyang Technological University,Singapore 639798 [2]Department of Automation,Shanghai Jiao Tong University,Shanghai 200240,China [3]Chool of Electrical Engineering,Southeast University,Nanjing 210096,China

出　　处：《Journal of Modern Power Systems and Clean Energy》2024年第6期2091-2096,共6页现代电力系统与清洁能源学报(英文)

基　　金：This work was supported by the National Research Foundation Singapore,Intra-CREATE REQ0393291(No.NRF2022-ITS010-0005);the National Research Foundation Singapore,Energy Market Authority under its Energy Programme(EP Award EMA-EP004-EKJGC-0003).

摘　　要：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.

关 键 词：UNCERTAINTY NORMALIZATION photovoltaic(PV)hosting capacity robust optimization 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]