Adaptive Consensus Algorithm for Distributed Heat-Electricity Energy Management of an Islanded Microgrid

Xiaofeng Dong, Xiaoshun Zhang and Tong Jiang
Additional contact information
Xiaofeng Dong: Department of Electrical and Electronic Engineering, North China Electric Power University, Beijing 100000, China
Xiaoshun Zhang: College of Engineering, Shantou University, Shantou 515000, China
Tong Jiang: Department of Electrical and Electronic Engineering, North China Electric Power University, Beijing 100000, China

Energies, 2018, vol. 11, issue 9, 1-17

Abstract: This paper proposes a novel adaptive consensus algorithm (ACA) for distributed heat-electricity energy management (HEEM) of an islanded microgrid. In order to simultaneously satisfy the heat-electricity energy balance constraints, ACA is implemented with a switch between unified consensus and independent consensus according to the dynamic energy mismatches. The feasible operation region of a combined heat and power (CHP) unit is decomposed into eight searching sub-regions, thus its electricity and heat energy outputs can simultaneously match the incremental cost consensus requirement and the heat-electricity energy balance constraints. Case studies are thoroughly carried out to verify the performance of ACA for distributed HEEM of an islanded microgrid.

Keywords: adaptive consensus algorithm; distributed heat-electricity energy management; eight searching sub-regions; islanded microgrid (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
https://www.mdpi.com/1996-1073/11/9/2236/pdf (application/pdf)
https://www.mdpi.com/1996-1073/11/9/2236/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:11:y:2018:i:9:p:2236-:d:165878

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().