Awareness of Converter Integrated Distributed Energy Resources(CIDER) in Distribution Networks Based on Non-Fundamental Apparent Power Tracing

Installed capacity of converter integrated distributed energy resources (CIDER), such as wind power and photovoltaic (PV), has increased rapidly, leading to the increasingly serious problem of harmonics in the power system. To effectively monitor the integration of existing distributed power sources into the distribution network and quantify their impact, it is necessary to trace the sources of distributed power with random injections and quantify the influence of each distributed power source at the point of common coupling (PCC). This paper would decompose the power injection data from CIDER into fundamental and non-fundamental apparent powers, and the latter part will be used as quantification indicator for the impact of CIDER. A dynamic awareness and power tracing method would used to quantify the impact of each distributed power source at the PCC through multiple CIDER measurements, achieving precise perception of CIDER impacts.

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Publication Details

Published
2025-08-20
DOI
https://doi.org/10.1109/psgec66102.2025.11150781
Primary Topic
Power Systems Fault Detection
Type
article
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article

Awareness of Converter Integrated Distributed Energy Resources(CIDER) in Distribution Networks Based on Non-Fundamental Apparent Power Tracing

Zhenbiao Qi, Yan Yang, Jinjin Ge, Lingji Hua et al.
Power Systems Fault Detection
article

Awareness of Converter Integrated Distributed Energy Resources(CIDER) in Distribution Networks Based on Non-Fundamental Apparent Power Tracing

Zhenbiao Qi, Yan Yang, Jinjin Ge, Lingji Hua, Zhuozhuang Gao, Shenglong Zhu
article en

Abstract

Installed capacity of converter integrated distributed energy resources (CIDER), such as wind power and photovoltaic (PV), has increased rapidly, leading to the increasingly serious problem of harmonics in the power system. To effectively monitor the integration of existing distributed power sources into the distribution network and quantify their impact, it is necessary to trace the sources of distributed power with random injections and quantify the influence of each distributed power source at the point of common coupling (PCC). This paper would decompose the power injection data from CIDER into fundamental and non-fundamental apparent powers, and the latter part will be used as quantification indicator for the impact of CIDER. A dynamic awareness and power tracing method would used to quantify the impact of each distributed power source at the PCC through multiple CIDER measurements, achieving precise perception of CIDER impacts.

State Grid Corporation of China (China) (CN), Shanghai Jiao Tong University (CN)
Openalex Percentile: Top 70%
Power Systems Fault Detection
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