Flexible Operation Planning Scheme Considering Wind Power Generation Forecasting Uncertainties

Yongxi Zhang; Yu Zheng; Ke Meng; Zhao Yang Dong

doi:10.1080/15325008.2017.1290163

Flexible Operation Planning Scheme Considering Wind Power Generation Forecasting Uncertainties

Yongxi Zhang, Yu Zheng, Ke Meng^*, Zhao Yang Dong

^*Corresponding author for this work

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

5 Citations (Scopus)

Abstract

Power system daily operational planning has become a difficult task with increasing wind penetrations into power system due to the variable and uncontrollable natures of wind resources. Although remarkable progress has been made in the development of wind power technology, wind speed prediction error still exists. In order to mitigate the negative effects caused by forecasting errors, several candidate daily operational plans should be scheduled ahead of time, with different wind power output scenarios taken into consideration. The key issue of this research work is to develop flexible operation framework that has the least cost adaption cost on the basis of receding horizon optimization. The selected operation plan may not be the cheapest one for one-time interval, but it takes the lowest cost considering the change process with most updated wind power information. Detailed case studies are performed to verify the feasibility of the proposed flexible operational planning framework. © 2017, Copyright © Taylor & Francis Group, LLC.

Original language	English
Pages (from-to)	465-475
Journal	Electric Power Components and Systems
Volume	45
Issue number	5
DOIs	https://doi.org/10.1080/15325008.2017.1290163
Publication status	Published - 16 Mar 2017
Externally published	Yes

Bibliographical note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

UN SDGs

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

SDG 7 Affordable and Clean Energy

Research Keywords

flexible operational planning
intermittent wind power generation
receding horizon
unit commitment

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10.1080/15325008.2017.1290163

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title = "Flexible Operation Planning Scheme Considering Wind Power Generation Forecasting Uncertainties",

abstract = "Power system daily operational planning has become a difficult task with increasing wind penetrations into power system due to the variable and uncontrollable natures of wind resources. Although remarkable progress has been made in the development of wind power technology, wind speed prediction error still exists. In order to mitigate the negative effects caused by forecasting errors, several candidate daily operational plans should be scheduled ahead of time, with different wind power output scenarios taken into consideration. The key issue of this research work is to develop flexible operation framework that has the least cost adaption cost on the basis of receding horizon optimization. The selected operation plan may not be the cheapest one for one-time interval, but it takes the lowest cost considering the change process with most updated wind power information. Detailed case studies are performed to verify the feasibility of the proposed flexible operational planning framework. {\textcopyright} 2017, Copyright {\textcopyright} Taylor & Francis Group, LLC.",

keywords = "flexible operational planning, intermittent wind power generation, receding horizon, unit commitment",

author = "Yongxi Zhang and Yu Zheng and Ke Meng and Dong, {Zhao Yang}",

note = "Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].",

year = "2017",

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doi = "10.1080/15325008.2017.1290163",

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pages = "465--475",

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T1 - Flexible Operation Planning Scheme Considering Wind Power Generation Forecasting Uncertainties

AU - Zhang, Yongxi

AU - Zheng, Yu

AU - Meng, Ke

AU - Dong, Zhao Yang

N1 - Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

PY - 2017/3/16

Y1 - 2017/3/16

N2 - Power system daily operational planning has become a difficult task with increasing wind penetrations into power system due to the variable and uncontrollable natures of wind resources. Although remarkable progress has been made in the development of wind power technology, wind speed prediction error still exists. In order to mitigate the negative effects caused by forecasting errors, several candidate daily operational plans should be scheduled ahead of time, with different wind power output scenarios taken into consideration. The key issue of this research work is to develop flexible operation framework that has the least cost adaption cost on the basis of receding horizon optimization. The selected operation plan may not be the cheapest one for one-time interval, but it takes the lowest cost considering the change process with most updated wind power information. Detailed case studies are performed to verify the feasibility of the proposed flexible operational planning framework. © 2017, Copyright © Taylor & Francis Group, LLC.

AB - Power system daily operational planning has become a difficult task with increasing wind penetrations into power system due to the variable and uncontrollable natures of wind resources. Although remarkable progress has been made in the development of wind power technology, wind speed prediction error still exists. In order to mitigate the negative effects caused by forecasting errors, several candidate daily operational plans should be scheduled ahead of time, with different wind power output scenarios taken into consideration. The key issue of this research work is to develop flexible operation framework that has the least cost adaption cost on the basis of receding horizon optimization. The selected operation plan may not be the cheapest one for one-time interval, but it takes the lowest cost considering the change process with most updated wind power information. Detailed case studies are performed to verify the feasibility of the proposed flexible operational planning framework. © 2017, Copyright © Taylor & Francis Group, LLC.

KW - flexible operational planning

KW - intermittent wind power generation

KW - receding horizon

KW - unit commitment

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DO - 10.1080/15325008.2017.1290163

M3 - RGC 21 - Publication in refereed journal

SN - 1532-5008

VL - 45

SP - 465

EP - 475

JO - Electric Power Components and Systems

JF - Electric Power Components and Systems

IS - 5

ER -

Flexible Operation Planning Scheme Considering Wind Power Generation Forecasting Uncertainties

Abstract

Bibliographical note

UN SDGs

Research Keywords

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