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Stochastic models in risk-based assessment of reserve requirements for a power system with high wind power generation

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conference contribution
posted on 2023-05-23, 11:48 authored by Michael NegnevitskyMichael Negnevitsky, Nguyen, DH, Piekutowski, M
The increasing role of wind power generation has created new challenges in power system planning and operation. Uncertainty of wind energy may lead to significant load-generation imbalances resulting in large frequency deviations, and hence increase system operation risk. Large wind penetration may also deteriorate the system primary frequency response due to its limited contribution to both system inertia and frequency control under the current practice of determining primary reserve. This paper proposes a risk-based approach to the adequacy assessment of primary frequency response. It can also assist in determining primary reserves requirements for a power system with significant penetration of wind power generation. A simplified dynamic model of frequency taking into account the system inertia and frequency control services is developed for fast evaluation of operational risks due to inadequate frequency response without performing dynamic simulations.

History

Publication title

Proceedings of the 2nd International Symposium on Stochastic Models in Reliability Engineering, Life Science, and Operations Management (SMRLO 2016)

Editors

I Frenkel & A Lisnianski

Pagination

136-143

ISBN

978-1-4673-9941-8

Department/School

School of Engineering

Publisher

Institute of Electrical and Electronics Engineers Computer Society

Place of publication

United States of America

Event title

2nd International Symposium on Stochastic Models in Reliability Engineering, Life Science, and Operations Management (SMRLO 2016)

Event Venue

Beer Sheva, Israel

Date of Event (Start Date)

2016-02-15

Date of Event (End Date)

2016-02-18

Rights statement

Copyright 2016 IEEE

Repository Status

  • Open

Socio-economic Objectives

Energy services and utilities

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    University Of Tasmania

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