Optimal real-time power dispatch of power grid with wind energy forecasting under extreme weather

With breakthroughs in the power electronics industry, the stability and rapid power regulation of wind power generation have been improved. Its power generation technology is becoming more and more mature. However, there are still weaknesses in the operation and control of power systems under the in...

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Main Authors: Yixin Zhuo, Ling Li, Jian Tang, Wenchuan Meng, Zhanhong Huang, Kui Huang, Jiaqiu Hu, Yiming Qin, Houjian Zhan, Zhencheng Liang
Format: Article
Language:English
Published: AIMS Press 2023-06-01
Series:Mathematical Biosciences and Engineering
Subjects:
Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2023642?viewType=HTML
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author Yixin Zhuo
Ling Li
Jian Tang
Wenchuan Meng
Zhanhong Huang
Kui Huang
Jiaqiu Hu
Yiming Qin
Houjian Zhan
Zhencheng Liang
author_facet Yixin Zhuo
Ling Li
Jian Tang
Wenchuan Meng
Zhanhong Huang
Kui Huang
Jiaqiu Hu
Yiming Qin
Houjian Zhan
Zhencheng Liang
author_sort Yixin Zhuo
collection DOAJ
description With breakthroughs in the power electronics industry, the stability and rapid power regulation of wind power generation have been improved. Its power generation technology is becoming more and more mature. However, there are still weaknesses in the operation and control of power systems under the influence of extreme weather events, especially in real-time power dispatch. To optimally distribute the power of the regulation resources in a more stable manner, a wind energy forecasting-based power dispatch model with time-control intervals optimization is proposed. In this model, the outage of the wind energy under extreme weather is analyzed by an autoregressive integrated moving average model (ARIMA). Additionally, the other regulation resources are used to balance the corresponding wind power drop and power mismatch. Meanwhile, an algorithm names weighted mean of vectors (INFO) is employed to solve the real-time power dispatch and minimize the power deviation between the power command and real output. Lastly, the performance of the proposed optimal real-time power dispatch is executed in a simulation model with ten regulation resources. The simulation tests show that the combination of ARIMA and INFO can effectively improve the power control performance of the PD-WEF system.
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spelling doaj.art-41fe1a1be8ee40829a9cf2f47012c50c2023-08-03T01:21:20ZengAIMS PressMathematical Biosciences and Engineering1551-00182023-06-01208143531437610.3934/mbe.2023642Optimal real-time power dispatch of power grid with wind energy forecasting under extreme weatherYixin Zhuo 0Ling Li 1Jian Tang2Wenchuan Meng3Zhanhong Huang4Kui Huang5Jiaqiu Hu6Yiming Qin 7Houjian Zhan 8Zhencheng Liang91. Dispatching Control Center of Guangxi Power Grid, Nanning 530000, China1. Dispatching Control Center of Guangxi Power Grid, Nanning 530000, China1. Dispatching Control Center of Guangxi Power Grid, Nanning 530000, China2. Energy Development Research Institute, China Southern Power Grid, Guangzhou 510000, China3. College of Electric Power, South China University of Technology, Guangzhou 510641, China1. Dispatching Control Center of Guangxi Power Grid, Nanning 530000, China1. Dispatching Control Center of Guangxi Power Grid, Nanning 530000, China1. Dispatching Control Center of Guangxi Power Grid, Nanning 530000, China1. Dispatching Control Center of Guangxi Power Grid, Nanning 530000, China1. Dispatching Control Center of Guangxi Power Grid, Nanning 530000, ChinaWith breakthroughs in the power electronics industry, the stability and rapid power regulation of wind power generation have been improved. Its power generation technology is becoming more and more mature. However, there are still weaknesses in the operation and control of power systems under the influence of extreme weather events, especially in real-time power dispatch. To optimally distribute the power of the regulation resources in a more stable manner, a wind energy forecasting-based power dispatch model with time-control intervals optimization is proposed. In this model, the outage of the wind energy under extreme weather is analyzed by an autoregressive integrated moving average model (ARIMA). Additionally, the other regulation resources are used to balance the corresponding wind power drop and power mismatch. Meanwhile, an algorithm names weighted mean of vectors (INFO) is employed to solve the real-time power dispatch and minimize the power deviation between the power command and real output. Lastly, the performance of the proposed optimal real-time power dispatch is executed in a simulation model with ten regulation resources. The simulation tests show that the combination of ARIMA and INFO can effectively improve the power control performance of the PD-WEF system.https://www.aimspress.com/article/doi/10.3934/mbe.2023642?viewType=HTMLwind energy forecastingreal-time power dispatchextreme weatherinfopower outage
spellingShingle Yixin Zhuo
Ling Li
Jian Tang
Wenchuan Meng
Zhanhong Huang
Kui Huang
Jiaqiu Hu
Yiming Qin
Houjian Zhan
Zhencheng Liang
Optimal real-time power dispatch of power grid with wind energy forecasting under extreme weather
Mathematical Biosciences and Engineering
wind energy forecasting
real-time power dispatch
extreme weather
info
power outage
title Optimal real-time power dispatch of power grid with wind energy forecasting under extreme weather
title_full Optimal real-time power dispatch of power grid with wind energy forecasting under extreme weather
title_fullStr Optimal real-time power dispatch of power grid with wind energy forecasting under extreme weather
title_full_unstemmed Optimal real-time power dispatch of power grid with wind energy forecasting under extreme weather
title_short Optimal real-time power dispatch of power grid with wind energy forecasting under extreme weather
title_sort optimal real time power dispatch of power grid with wind energy forecasting under extreme weather
topic wind energy forecasting
real-time power dispatch
extreme weather
info
power outage
url https://www.aimspress.com/article/doi/10.3934/mbe.2023642?viewType=HTML
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