Operational cost reduction based on distributed adaptive droop control technique in DC microgrids

Mohamed Zaery; Emad M. Ahmed; Mohamed Orabi; Mohamed Youssef

doi:10.1109/ECCE.2017.8096498

Operational cost reduction based on distributed adaptive droop control technique in DC microgrids

Mohamed Zaery, Emad M. Ahmed, Mohamed Orabi, Mohamed Youssef

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

18 Scopus citations

Abstract

A novel distributed adaptive droop coordination control system has been proposed in this paper to solve the economical dispatch problem (EDP) in DC microgrids. It comprises of tertiary and secondary controllers for scheduling the dispatchable distributed generation (DGs) output powers to ensure optimal load sharing between them and restore microgrid's average voltage as well. The controller of each DG process its local information and the information of its neighbors through a sparse communication network to update its primary voltage set point. By virtue of dynamic consensus algorithm, tertiary controller equalizes DGs incremental costs to adjust the output power of each DG at the optimal point while satisfying the in-equality constraints, while secondary controller regulates the average voltage across the microgrid to maintain the equality constraint. Through several experimental studies, the feasibility of the proposed controller in case of load variations, plug and play capability, and communication failures are verified.

Original language	English
Title of host publication	2017 IEEE Energy Conversion Congress and Exposition, ECCE 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	2638-2644
Number of pages	7
ISBN (Electronic)	9781509029983
DOIs	https://doi.org/10.1109/ECCE.2017.8096498
State	Published - 3 Nov 2017
Externally published	Yes
Event	9th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2017 - Cincinnati, United States Duration: 1 Oct 2017 → 5 Oct 2017

Publication series

Name	2017 IEEE Energy Conversion Congress and Exposition, ECCE 2017
Volume	2017-January

Conference

Conference	9th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2017
Country/Territory	United States
City	Cincinnati
Period	1/10/17 → 5/10/17

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

Keywords

DC microgrid
Distributed control
Dynamic consensus algorithm
Economic power dispatch

ASJC Scopus subject areas

Energy Engineering and Power Technology
Electrical and Electronic Engineering
Renewable Energy, Sustainability and the Environment
Control and Optimization

Access to Document

10.1109/ECCE.2017.8096498

Cite this

Zaery, M., Ahmed, E. M., Orabi, M., & Youssef, M. (2017). Operational cost reduction based on distributed adaptive droop control technique in DC microgrids. In 2017 IEEE Energy Conversion Congress and Exposition, ECCE 2017 (pp. 2638-2644). Article 8096498 (2017 IEEE Energy Conversion Congress and Exposition, ECCE 2017; Vol. 2017-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ECCE.2017.8096498

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title = "Operational cost reduction based on distributed adaptive droop control technique in DC microgrids",

abstract = "A novel distributed adaptive droop coordination control system has been proposed in this paper to solve the economical dispatch problem (EDP) in DC microgrids. It comprises of tertiary and secondary controllers for scheduling the dispatchable distributed generation (DGs) output powers to ensure optimal load sharing between them and restore microgrid's average voltage as well. The controller of each DG process its local information and the information of its neighbors through a sparse communication network to update its primary voltage set point. By virtue of dynamic consensus algorithm, tertiary controller equalizes DGs incremental costs to adjust the output power of each DG at the optimal point while satisfying the in-equality constraints, while secondary controller regulates the average voltage across the microgrid to maintain the equality constraint. Through several experimental studies, the feasibility of the proposed controller in case of load variations, plug and play capability, and communication failures are verified.",

keywords = "DC microgrid, Distributed control, Dynamic consensus algorithm, Economic power dispatch",

author = "Mohamed Zaery and Ahmed, \{Emad M.\} and Mohamed Orabi and Mohamed Youssef",

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language = "English",

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Zaery, M, Ahmed, EM, Orabi, M & Youssef, M 2017, Operational cost reduction based on distributed adaptive droop control technique in DC microgrids. in 2017 IEEE Energy Conversion Congress and Exposition, ECCE 2017., 8096498, 2017 IEEE Energy Conversion Congress and Exposition, ECCE 2017, vol. 2017-January, Institute of Electrical and Electronics Engineers Inc., pp. 2638-2644, 9th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2017, Cincinnati, United States, 1/10/17. https://doi.org/10.1109/ECCE.2017.8096498

Operational cost reduction based on distributed adaptive droop control technique in DC microgrids. / Zaery, Mohamed; Ahmed, Emad M.; Orabi, Mohamed et al.
2017 IEEE Energy Conversion Congress and Exposition, ECCE 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 2638-2644 8096498 (2017 IEEE Energy Conversion Congress and Exposition, ECCE 2017; Vol. 2017-January).

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

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AU - Youssef, Mohamed

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N2 - A novel distributed adaptive droop coordination control system has been proposed in this paper to solve the economical dispatch problem (EDP) in DC microgrids. It comprises of tertiary and secondary controllers for scheduling the dispatchable distributed generation (DGs) output powers to ensure optimal load sharing between them and restore microgrid's average voltage as well. The controller of each DG process its local information and the information of its neighbors through a sparse communication network to update its primary voltage set point. By virtue of dynamic consensus algorithm, tertiary controller equalizes DGs incremental costs to adjust the output power of each DG at the optimal point while satisfying the in-equality constraints, while secondary controller regulates the average voltage across the microgrid to maintain the equality constraint. Through several experimental studies, the feasibility of the proposed controller in case of load variations, plug and play capability, and communication failures are verified.

AB - A novel distributed adaptive droop coordination control system has been proposed in this paper to solve the economical dispatch problem (EDP) in DC microgrids. It comprises of tertiary and secondary controllers for scheduling the dispatchable distributed generation (DGs) output powers to ensure optimal load sharing between them and restore microgrid's average voltage as well. The controller of each DG process its local information and the information of its neighbors through a sparse communication network to update its primary voltage set point. By virtue of dynamic consensus algorithm, tertiary controller equalizes DGs incremental costs to adjust the output power of each DG at the optimal point while satisfying the in-equality constraints, while secondary controller regulates the average voltage across the microgrid to maintain the equality constraint. Through several experimental studies, the feasibility of the proposed controller in case of load variations, plug and play capability, and communication failures are verified.

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KW - Dynamic consensus algorithm

KW - Economic power dispatch

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Zaery M, Ahmed EM, Orabi M, Youssef M. Operational cost reduction based on distributed adaptive droop control technique in DC microgrids. In 2017 IEEE Energy Conversion Congress and Exposition, ECCE 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 2638-2644. 8096498. (2017 IEEE Energy Conversion Congress and Exposition, ECCE 2017). doi: 10.1109/ECCE.2017.8096498

Operational cost reduction based on distributed adaptive droop control technique in DC microgrids

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

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Cite this