On optimizing demand response management performance for microgrids under communication unreliability constraint

Chao Yang; Wei Lou

doi:10.1109/GLOCOM.2014.7417162

On optimizing demand response management performance for microgrids under communication unreliability constraint

Chao Yang, Wei Lou

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

6 Citations (Scopus)

Abstract

When studying the real-time pricing in smart grids, there is a common assumption that a perfect bidirectional communication network is built between supply and demand ends. However, this assumption is unrealistic, especially in a microgrid system which includes renewable energy resources. In this paper, we consider the uncertainty of imperfect communications in both supply and demand ends, which affects the performance of the microgrid system in terms of the packet loss ratio of the power demand information transmission and the forecasting accuracy ratio of the renewable energy generation. We analyze the impacts of unreliable communications on the demand response management (DRM) performance of real-time pricing in the microgrid system. A joint optimization problem is therefore formulated in order to maximize the DRM performance of the microgrid system. Leveraging the dual decomposition, the proposed optimization problem is solved via two sub-problems. Simulation results reveal the impacts of imperfect communications on the DRM performance.

Original language	English
Title of host publication	2015 IEEE Global Communications Conference, GLOBECOM 2015
Publisher	IEEE
Pages	1-6
Number of pages	6
ISBN (Electronic)	9781479959525
ISBN (Print)	9781479959518
DOIs	https://doi.org/10.1109/GLOCOM.2014.7417162 https://doi.org/10.1109/GLOCOM.2015.7417162
Publication status	Published - 2015
Event	58th IEEE Global Communications Conference, GLOBECOM 2015 - San Diego, United States Duration: 6 Dec 2015 → 10 Dec 2015

Conference

Conference	58th IEEE Global Communications Conference, GLOBECOM 2015
Country/Territory	United States
City	San Diego
Period	6/12/15 → 10/12/15

Keywords

Dual decomposition
Microgrids
Optimization

ASJC Scopus subject areas

Computer Networks and Communications
Electrical and Electronic Engineering
Communication

UN SDGs

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

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Cite this

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abstract = "When studying the real-time pricing in smart grids, there is a common assumption that a perfect bidirectional communication network is built between supply and demand ends. However, this assumption is unrealistic, especially in a microgrid system which includes renewable energy resources. In this paper, we consider the uncertainty of imperfect communications in both supply and demand ends, which affects the performance of the microgrid system in terms of the packet loss ratio of the power demand information transmission and the forecasting accuracy ratio of the renewable energy generation. We analyze the impacts of unreliable communications on the demand response management (DRM) performance of real-time pricing in the microgrid system. A joint optimization problem is therefore formulated in order to maximize the DRM performance of the microgrid system. Leveraging the dual decomposition, the proposed optimization problem is solved via two sub-problems. Simulation results reveal the impacts of imperfect communications on the DRM performance.",

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Yang, C & Lou, W 2015, On optimizing demand response management performance for microgrids under communication unreliability constraint. in 2015 IEEE Global Communications Conference, GLOBECOM 2015., 7417162, IEEE, pp. 1-6, 58th IEEE Global Communications Conference, GLOBECOM 2015, San Diego, United States, 6/12/15. https://doi.org/10.1109/GLOCOM.2014.7417162, https://doi.org/10.1109/GLOCOM.2015.7417162

On optimizing demand response management performance for microgrids under communication unreliability constraint. / Yang, Chao; Lou, Wei.
2015 IEEE Global Communications Conference, GLOBECOM 2015. IEEE, 2015. p. 1-6 7417162.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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AB - When studying the real-time pricing in smart grids, there is a common assumption that a perfect bidirectional communication network is built between supply and demand ends. However, this assumption is unrealistic, especially in a microgrid system which includes renewable energy resources. In this paper, we consider the uncertainty of imperfect communications in both supply and demand ends, which affects the performance of the microgrid system in terms of the packet loss ratio of the power demand information transmission and the forecasting accuracy ratio of the renewable energy generation. We analyze the impacts of unreliable communications on the demand response management (DRM) performance of real-time pricing in the microgrid system. A joint optimization problem is therefore formulated in order to maximize the DRM performance of the microgrid system. Leveraging the dual decomposition, the proposed optimization problem is solved via two sub-problems. Simulation results reveal the impacts of imperfect communications on the DRM performance.

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On optimizing demand response management performance for microgrids under communication unreliability constraint

Abstract

Conference

Keywords

ASJC Scopus subject areas

UN SDGs

More information

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