Available Transfer Capability Calculation for Wind-Integrated Power Systems Considering Wind Speed Spatiotemporal Correlation and Primal-Dual Interior Point Method

TL;DR

This paper introduces a new optimal power flow model that considers wind speed spatiotemporal correlations and uses the Primal-Dual Interior Point Method to improve the accuracy and efficiency of Available Transfer Capability calculations in wind-integrated power systems.

Contribution

It pioneers the integration of spatiotemporal wind speed correlations into ATC calculations and applies the PDIPM for enhanced computational performance.

Findings

Spatiotemporal wind correlations significantly affect ATC estimates.

The proposed model improves computational accuracy and efficiency.

Wind farm placement impacts system transfer capability.

Abstract

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.