Testing Method for Frequency Support Performance of Renewable Energy Power Stations Based on Mechanism Model and Predictive Data-Driven

The current testing signals for fast frequency response (FFR) control of renewable energy power stations are formulated from historical frequency disturbance characteristics, difficult to guarantee the frequency support capability of stations in response to unknown power disturbance events. To address it, a testing method based on mechanism model and predictive data driven is proposed. The test results demonstrated that it can effectively ensure their support capability responding to power disturbance events.

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Published
2024-11-29
DOI
https://doi.org/10.1109/ei264398.2024.10990398
Primary Topic
Power Systems and Technologies
Type
article
Field-Weighted Citation Impact
0.00

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article

Testing Method for Frequency Support Performance of Renewable Energy Power Stations Based on Mechanism Model and Predictive Data-Driven

Zhiming Shi, Wanyu Ji, Zhiyong Liu, Xiaoxi Chen
Power Systems and Technologies
article

Testing Method for Frequency Support Performance of Renewable Energy Power Stations Based on Mechanism Model and Predictive Data-Driven

Zhiming Shi, Wanyu Ji, Zhiyong Liu, Xiaoxi Chen
article en

Abstract

The current testing signals for fast frequency response (FFR) control of renewable energy power stations are formulated from historical frequency disturbance characteristics, difficult to guarantee the frequency support capability of stations in response to unknown power disturbance events. To address it, a testing method based on mechanism model and predictive data driven is proposed. The test results demonstrated that it can effectively ensure their support capability responding to power disturbance events.

North China Electric Power University (CN), China Electric Power Research Institute
Electric Power Research Institute
Affordable and clean energy
Openalex Percentile: Top 72%
Power Systems and Technologies
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