Identification and Correction Method of Bad Data of Renewable Energy Plants with Deep Learning-Reference-Cited by-同舟云学术

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Identification and Correction Method of Bad Data of Renewable Energy Plants with Deep Learning

Published:2022-05-27 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 5th International Electrical and Energy Conference (CIEEC)
language:
Short-container-title:

Author:

Qi Weiwen¹,Zhang Jun²,Ru Wei¹,Fan Qiang¹,Zhang Fengming¹,Liu Zhen³,Liu Haoming³

Affiliation:

1. State Grid Shaoxing Power Supply Company, State Grid Corporation of China,Shaoxing,China

2. State Grid Zhejiang Electric Power Company, LTD State Grid Corporation of China,Hangzhou,China

3. Hohai University,College of Energy and Electrical Engineering,Nanjing,China

Funder

Science and Technology Project of State Grid

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9845798/9845816/09846060.pdf?arnumber=9846060

Reference22 articles.

1. Pseudo-fluctuation data cleaning for state estimation of new energy power system;gao;High Voltage Engineering,0

2. Bad data detection, identification and correction in distribution system state estimation based on PMUs;oliveira;Electrical Engineering,2021

3. Identification of bad data based on maximum normality of measurement points and GPU parallel acceleration;fang;Automation of Electric Power Systems,2019

4. A Robust Statistical Approach to Distributed Power System State Estimation With Bad Data

5. A new bad data identification method based on load forecasting and the correction of association rule;wang;Power system protection and control,2017

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