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Main Author: Huangpu, Xia-Liang
Format: Preprint
Published: 2024
Subjects:
Online Access:https://arxiv.org/abs/2409.14093
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author Huangpu, Xia-Liang
author_facet Huangpu, Xia-Liang
contents This paper explores the intricate effects of wind power integration on the Available Transfer Capability (ATC) of power systems, emphasizing the significance of spatiotemporal correlations in wind speed. We present an innovative optimal power flow model that integrates the Primal-Dual Interior Point Method (PDIPM), ensuring both computational accuracy and efficiency. This research pioneers a systematic analysis of how spatiotemporal wind speed correlations influence wind power output, thereby refining ATC calculations and improving prediction reliability. Furthermore, we assess the impacts of wind farm integration capacity, location, and connection methods on ATC, offering valuable insights for power system planning and market operations.
format Preprint
id arxiv_https___arxiv_org_abs_2409_14093
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Available Transfer Capability Calculation for Wind-Integrated Power Systems Considering Wind Speed Spatiotemporal Correlation and Primal-Dual Interior Point Method
Huangpu, Xia-Liang
Systems and Control
This paper explores the intricate effects of wind power integration on the Available Transfer Capability (ATC) of power systems, emphasizing the significance of spatiotemporal correlations in wind speed. We present an innovative optimal power flow model that integrates the Primal-Dual Interior Point Method (PDIPM), ensuring both computational accuracy and efficiency. This research pioneers a systematic analysis of how spatiotemporal wind speed correlations influence wind power output, thereby refining ATC calculations and improving prediction reliability. Furthermore, we assess the impacts of wind farm integration capacity, location, and connection methods on ATC, offering valuable insights for power system planning and market operations.
title Available Transfer Capability Calculation for Wind-Integrated Power Systems Considering Wind Speed Spatiotemporal Correlation and Primal-Dual Interior Point Method
topic Systems and Control
url https://arxiv.org/abs/2409.14093