Robust dispatch of multiple energy resources and flexible loads in energy internet

Cuo Zhang; Zhaoyang Dong; Jin Ma; Yan Xu; Rui Zhang

doi:10.1109/PESGM.2016.7741405

Robust dispatch of multiple energy resources and flexible loads in energy internet

Cuo Zhang, Zhaoyang Dong, Jin Ma, Yan Xu, Rui Zhang

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

3 Citations (Scopus)

Abstract

The energy internet paradigm provides a platform to integrate and utilize multiple energy resources through advanced hardware interfaces, communication infrastructure and operational intelligence. In this paper, a robust energy management framework is proposed for dispatching multiple renewable energy resources including solar power, wind power and biomass generation, and flexible loads. In the framework, a day-ahead price-based demand response mechanism is applied to control the flexible loads with prediction of uncertain renewable energy source outputs and biomass generation assists to reduce uncertain impacts of wind and solar power. A two-stage robust optimization model is proposed to maximize the operation economic benefits. The proposed approach is tested on a 33-bus IEEE system and results show good robustness and optimization efficiency. © 2016 IEEE.

Original language	English
Title of host publication	2016 IEEE Power and Energy Society General Meeting, PESGM 2016
Publisher	IEEE Computer Society
Volume	2016-November
ISBN (Print)	9781509041688
DOIs	https://doi.org/10.1109/PESGM.2016.7741405
Publication status	Published - 10 Nov 2016
Externally published	Yes
Event	2016 IEEE Power and Energy Society General Meeting, PESGM 2016 - Boston, United States Duration: 17 Jul 2016 → 21 Jul 2016

Publication series

Name	IEEE Power and Energy Society General Meeting
Volume	2016-November
ISSN (Print)	1944-9925
ISSN (Electronic)	1944-9933

Conference

Conference	2016 IEEE Power and Energy Society General Meeting, PESGM 2016
Place	United States
City	Boston
Period	17/07/16 → 21/07/16

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

Demand response
Distributed generation
Energy internet
Renewable energy
Robust optimization

Access Output

10.1109/PESGM.2016.7741405

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Zhang, C., Dong, Z., Ma, J., Xu, Y., & Zhang, R. (2016). Robust dispatch of multiple energy resources and flexible loads in energy internet. In 2016 IEEE Power and Energy Society General Meeting, PESGM 2016 (Vol. 2016-November). Article 7741405 (IEEE Power and Energy Society General Meeting; Vol. 2016-November). IEEE Computer Society. https://doi.org/10.1109/PESGM.2016.7741405

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title = "Robust dispatch of multiple energy resources and flexible loads in energy internet",

abstract = "The energy internet paradigm provides a platform to integrate and utilize multiple energy resources through advanced hardware interfaces, communication infrastructure and operational intelligence. In this paper, a robust energy management framework is proposed for dispatching multiple renewable energy resources including solar power, wind power and biomass generation, and flexible loads. In the framework, a day-ahead price-based demand response mechanism is applied to control the flexible loads with prediction of uncertain renewable energy source outputs and biomass generation assists to reduce uncertain impacts of wind and solar power. A two-stage robust optimization model is proposed to maximize the operation economic benefits. The proposed approach is tested on a 33-bus IEEE system and results show good robustness and optimization efficiency. {\textcopyright} 2016 IEEE.",

keywords = "Demand response, Distributed generation, Energy internet, Renewable energy, Robust optimization",

author = "Cuo Zhang and Zhaoyang Dong and Jin Ma and Yan Xu and Rui Zhang",

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Zhang, C, Dong, Z, Ma, J, Xu, Y & Zhang, R 2016, Robust dispatch of multiple energy resources and flexible loads in energy internet. in 2016 IEEE Power and Energy Society General Meeting, PESGM 2016. vol. 2016-November, 7741405, IEEE Power and Energy Society General Meeting, vol. 2016-November, IEEE Computer Society, 2016 IEEE Power and Energy Society General Meeting, PESGM 2016, Boston, United States, 17/07/16. https://doi.org/10.1109/PESGM.2016.7741405

Robust dispatch of multiple energy resources and flexible loads in energy internet. / Zhang, Cuo; Dong, Zhaoyang; Ma, Jin et al.
2016 IEEE Power and Energy Society General Meeting, PESGM 2016. Vol. 2016-November IEEE Computer Society, 2016. 7741405 (IEEE Power and Energy Society General Meeting; Vol. 2016-November).

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

T1 - Robust dispatch of multiple energy resources and flexible loads in energy internet

AU - Zhang, Cuo

AU - Dong, Zhaoyang

AU - Ma, Jin

AU - Xu, Yan

AU - Zhang, Rui

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 - 2016/11/10

Y1 - 2016/11/10

N2 - The energy internet paradigm provides a platform to integrate and utilize multiple energy resources through advanced hardware interfaces, communication infrastructure and operational intelligence. In this paper, a robust energy management framework is proposed for dispatching multiple renewable energy resources including solar power, wind power and biomass generation, and flexible loads. In the framework, a day-ahead price-based demand response mechanism is applied to control the flexible loads with prediction of uncertain renewable energy source outputs and biomass generation assists to reduce uncertain impacts of wind and solar power. A two-stage robust optimization model is proposed to maximize the operation economic benefits. The proposed approach is tested on a 33-bus IEEE system and results show good robustness and optimization efficiency. © 2016 IEEE.

AB - The energy internet paradigm provides a platform to integrate and utilize multiple energy resources through advanced hardware interfaces, communication infrastructure and operational intelligence. In this paper, a robust energy management framework is proposed for dispatching multiple renewable energy resources including solar power, wind power and biomass generation, and flexible loads. In the framework, a day-ahead price-based demand response mechanism is applied to control the flexible loads with prediction of uncertain renewable energy source outputs and biomass generation assists to reduce uncertain impacts of wind and solar power. A two-stage robust optimization model is proposed to maximize the operation economic benefits. The proposed approach is tested on a 33-bus IEEE system and results show good robustness and optimization efficiency. © 2016 IEEE.

KW - Demand response

KW - Distributed generation

KW - Energy internet

KW - Renewable energy

KW - Robust optimization

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DO - 10.1109/PESGM.2016.7741405

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 9781509041688

VL - 2016-November

T3 - IEEE Power and Energy Society General Meeting

BT - 2016 IEEE Power and Energy Society General Meeting, PESGM 2016

PB - IEEE Computer Society

T2 - 2016 IEEE Power and Energy Society General Meeting, PESGM 2016

Y2 - 17 July 2016 through 21 July 2016

ER -

Robust dispatch of multiple energy resources and flexible loads in energy internet

Abstract

Publication series

Conference

Bibliographical note

UN SDGs

Research Keywords

Access Output

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