A Day-ahead Dispatch Strategy of High-Penetration PV Grids with Virtual Power Plants

Jun Guo; Yongfeng Wu; Ruizhe Yang; Ying Xu; Faguo Zhu

doi:10.1109/EI256261.2022.10116253

A Day-ahead Dispatch Strategy of High-Penetration PV Grids with Virtual Power Plants

Jun Guo
, Yongfeng Wu
, Ruizhe Yang
, Ying Xu^*
, Faguo Zhu

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

The photovoltaic power system has been developed in many areas. Photovoltaic generation is highly dependent on weather conditions and is subject to frequent violent fluctuations, leading to frequent power curtailments and brownouts. In order to solve this problem, this paper mainly studies the day-ahead dispatch strategy of high-proportion photovoltaic grids with virtual power plants. Firstly, the day-ahead forecast of photovoltaic power is carried out. Then a day-ahead alert of the ramp event of Photovoltaic power is given according to the numerical weather prediction (NWP). After that, a price compensation strategy is developed for the grids with a high proportion of photovoltaic power, and the resources in the virtual power plant are encouraged to participate in demand response through price. The simulation example verifies the effectiveness of the optimal dispatch strategy proposed in this paper. The results show that the virtual power plant can participate in the day-ahead optimal dispatch of grids while cooperating with the fluctuation of photovoltaic power, and effectively reduce the operating cost of grids with a high proportion of photovoltaic power.

Original language	English
Title of host publication	EI2 2022 - 6th IEEE Conference on Energy Internet and Energy System Integration
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	162-167
Number of pages	6
ISBN (Electronic)	9798350347159
DOIs	https://doi.org/10.1109/EI256261.2022.10116253
State	Published - 2022
Externally published	Yes
Event	6th IEEE Conference on Energy Internet and Energy System Integration, EI2 2022 - Chengdu, China Duration: 11 Nov 2022 → 13 Nov 2022

Publication series

Name	EI2 2022 - 6th IEEE Conference on Energy Internet and Energy System Integration

Conference

Conference	6th IEEE Conference on Energy Internet and Energy System Integration, EI2 2022
Country/Territory	China
City	Chengdu
Period	11/11/22 → 13/11/22

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

TCL
VPP
city grid
optimal dispatch

Access to Document

10.1109/EI256261.2022.10116253

Cite this

Guo, J., Wu, Y., Yang, R., Xu, Y., & Zhu, F. (2022). A Day-ahead Dispatch Strategy of High-Penetration PV Grids with Virtual Power Plants. In EI2 2022 - 6th IEEE Conference on Energy Internet and Energy System Integration (pp. 162-167). (EI2 2022 - 6th IEEE Conference on Energy Internet and Energy System Integration). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EI256261.2022.10116253

Guo, Jun ; Wu, Yongfeng ; Yang, Ruizhe et al. / A Day-ahead Dispatch Strategy of High-Penetration PV Grids with Virtual Power Plants. EI2 2022 - 6th IEEE Conference on Energy Internet and Energy System Integration. Institute of Electrical and Electronics Engineers Inc., 2022. pp. 162-167 (EI2 2022 - 6th IEEE Conference on Energy Internet and Energy System Integration).

@inproceedings{8e2753ae17d44dec9b5551b476be0457,

title = "A Day-ahead Dispatch Strategy of High-Penetration PV Grids with Virtual Power Plants",

abstract = "The photovoltaic power system has been developed in many areas. Photovoltaic generation is highly dependent on weather conditions and is subject to frequent violent fluctuations, leading to frequent power curtailments and brownouts. In order to solve this problem, this paper mainly studies the day-ahead dispatch strategy of high-proportion photovoltaic grids with virtual power plants. Firstly, the day-ahead forecast of photovoltaic power is carried out. Then a day-ahead alert of the ramp event of Photovoltaic power is given according to the numerical weather prediction (NWP). After that, a price compensation strategy is developed for the grids with a high proportion of photovoltaic power, and the resources in the virtual power plant are encouraged to participate in demand response through price. The simulation example verifies the effectiveness of the optimal dispatch strategy proposed in this paper. The results show that the virtual power plant can participate in the day-ahead optimal dispatch of grids while cooperating with the fluctuation of photovoltaic power, and effectively reduce the operating cost of grids with a high proportion of photovoltaic power.",

keywords = "TCL, VPP, city grid, optimal dispatch",

author = "Jun Guo and Yongfeng Wu and Ruizhe Yang and Ying Xu and Faguo Zhu",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 6th IEEE Conference on Energy Internet and Energy System Integration, EI2 2022 ; Conference date: 11-11-2022 Through 13-11-2022",

year = "2022",

doi = "10.1109/EI256261.2022.10116253",

language = "英语",

series = "EI2 2022 - 6th IEEE Conference on Energy Internet and Energy System Integration",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "162--167",

booktitle = "EI2 2022 - 6th IEEE Conference on Energy Internet and Energy System Integration",

address = "美国",

}

Guo, J, Wu, Y, Yang, R, Xu, Y & Zhu, F 2022, A Day-ahead Dispatch Strategy of High-Penetration PV Grids with Virtual Power Plants. in EI2 2022 - 6th IEEE Conference on Energy Internet and Energy System Integration. EI2 2022 - 6th IEEE Conference on Energy Internet and Energy System Integration, Institute of Electrical and Electronics Engineers Inc., pp. 162-167, 6th IEEE Conference on Energy Internet and Energy System Integration, EI2 2022, Chengdu, China, 11/11/22. https://doi.org/10.1109/EI256261.2022.10116253

A Day-ahead Dispatch Strategy of High-Penetration PV Grids with Virtual Power Plants. / Guo, Jun; Wu, Yongfeng; Yang, Ruizhe et al.
EI2 2022 - 6th IEEE Conference on Energy Internet and Energy System Integration. Institute of Electrical and Electronics Engineers Inc., 2022. p. 162-167 (EI2 2022 - 6th IEEE Conference on Energy Internet and Energy System Integration).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A Day-ahead Dispatch Strategy of High-Penetration PV Grids with Virtual Power Plants

AU - Guo, Jun

AU - Wu, Yongfeng

AU - Yang, Ruizhe

AU - Xu, Ying

AU - Zhu, Faguo

PY - 2022

Y1 - 2022

N2 - The photovoltaic power system has been developed in many areas. Photovoltaic generation is highly dependent on weather conditions and is subject to frequent violent fluctuations, leading to frequent power curtailments and brownouts. In order to solve this problem, this paper mainly studies the day-ahead dispatch strategy of high-proportion photovoltaic grids with virtual power plants. Firstly, the day-ahead forecast of photovoltaic power is carried out. Then a day-ahead alert of the ramp event of Photovoltaic power is given according to the numerical weather prediction (NWP). After that, a price compensation strategy is developed for the grids with a high proportion of photovoltaic power, and the resources in the virtual power plant are encouraged to participate in demand response through price. The simulation example verifies the effectiveness of the optimal dispatch strategy proposed in this paper. The results show that the virtual power plant can participate in the day-ahead optimal dispatch of grids while cooperating with the fluctuation of photovoltaic power, and effectively reduce the operating cost of grids with a high proportion of photovoltaic power.

AB - The photovoltaic power system has been developed in many areas. Photovoltaic generation is highly dependent on weather conditions and is subject to frequent violent fluctuations, leading to frequent power curtailments and brownouts. In order to solve this problem, this paper mainly studies the day-ahead dispatch strategy of high-proportion photovoltaic grids with virtual power plants. Firstly, the day-ahead forecast of photovoltaic power is carried out. Then a day-ahead alert of the ramp event of Photovoltaic power is given according to the numerical weather prediction (NWP). After that, a price compensation strategy is developed for the grids with a high proportion of photovoltaic power, and the resources in the virtual power plant are encouraged to participate in demand response through price. The simulation example verifies the effectiveness of the optimal dispatch strategy proposed in this paper. The results show that the virtual power plant can participate in the day-ahead optimal dispatch of grids while cooperating with the fluctuation of photovoltaic power, and effectively reduce the operating cost of grids with a high proportion of photovoltaic power.

KW - TCL

KW - VPP

KW - city grid

KW - optimal dispatch

UR - https://www.scopus.com/pages/publications/85160213522

U2 - 10.1109/EI256261.2022.10116253

DO - 10.1109/EI256261.2022.10116253

M3 - 会议稿件

AN - SCOPUS:85160213522

T3 - EI2 2022 - 6th IEEE Conference on Energy Internet and Energy System Integration

SP - 162

EP - 167

BT - EI2 2022 - 6th IEEE Conference on Energy Internet and Energy System Integration

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 6th IEEE Conference on Energy Internet and Energy System Integration, EI2 2022

Y2 - 11 November 2022 through 13 November 2022

ER -

Guo J, Wu Y, Yang R, Xu Y, Zhu F. A Day-ahead Dispatch Strategy of High-Penetration PV Grids with Virtual Power Plants. In EI2 2022 - 6th IEEE Conference on Energy Internet and Energy System Integration. Institute of Electrical and Electronics Engineers Inc. 2022. p. 162-167. (EI2 2022 - 6th IEEE Conference on Energy Internet and Energy System Integration). doi: 10.1109/EI256261.2022.10116253

A Day-ahead Dispatch Strategy of High-Penetration PV Grids with Virtual Power Plants

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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