Abstract
Phase angle differences on a power system are strongly correlated to active power transfer and system topology. The transition from centralized thermal generation to distributed generation is driving phase angle variation in unprecedented ways. This study studies PMU data from three sites across Ireland and other power system metrics, including system demand and wind generation. Linear regression is used to analyse phase angle variation from power system metrics; the results are used to identify system operating parameters and predict future operating conditions as Ireland's wind resource expands. It is demonstrated that anticipated wind expansion may cause phase angle variation across the network that exceeds operational thresholds. The methods of wrangling and joining different power system data sources and the sequential forward selection regression function can be applied to the vast amounts of time series data generated from power system operation.
| Original language | English |
|---|---|
| Title of host publication | 2021 56th International Universities Power Engineering Conference: Proceedings |
| Subtitle of host publication | Powering Net Zero Emissions, UPEC 2021 - Proceedings |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Number of pages | 6 |
| ISBN (Electronic) | 9781665443890 |
| ISBN (Print) | 978-1-6654-4390-6 |
| DOIs | |
| Publication status | Published - 30 Sept 2021 |
| Event | 56th International Universities Power Engineering Conference, UPEC 2021 - Virtual, Middlesbrough, United Kingdom Duration: 31 Aug 2021 → 03 Sept 2021 |
Publication series
| Name | 2021 56th International Universities Power Engineering Conference: Powering Net Zero Emissions, UPEC 2021 - Proceedings |
|---|
Conference
| Conference | 56th International Universities Power Engineering Conference, UPEC 2021 |
|---|---|
| Country/Territory | United Kingdom |
| City | Virtual, Middlesbrough |
| Period | 31/08/2021 → 03/09/2021 |
Bibliographical note
Funding Information:The authors will like to acknowledge the financial support from SPIRE2 project (Storage Platform for the integration of Renewable Energy) and data from Eirgrid/SONI. The SPIRE 2 project is supported by the European Union’s INTERREG VA Programme, managed by the Special EU Programmes Body (SEUPB). The views and opinions expressed in this paper do not necessarily reflect those of SEUPB.
Publisher Copyright:
© 2021 IEEE.
Keywords
- Linear Regression
- Phase Angle Difference
- PMU
- PSM
- Sequential Forward Selection
ASJC Scopus subject areas
- Energy Engineering and Power Technology
- Renewable Energy, Sustainability and the Environment
- Electrical and Electronic Engineering
- Control and Optimization
Access to Document
- Phase Angle Difference Analysis Using PMU Data on grids with Varying Wind Penetration
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