A Multiperiod Consensus-Based Transactive Energy System for Unbalanced Distribution Networks

Rui Cheng, Leigh Tesfatsion () and Zhaoyu Wang

ISU General Staff Papers from Iowa State University, Department of Economics

Abstract: This study develops a consensus-based transactive energy system design managed by an independent distribution system operator (DSO) for an unbalanced radial distribution network. The network is populated by welfare-maximizing customers with price-sensitive and fixed (non-price-sensitive) demands who make multiple successive power decisions during each real-time operating period OP. The DSO and customers engage in an iterative negotiation process in advance of each OP to determine retail price-to-go sequences for OP that align customer power decisions with network reliability constraints in a manner that respects customer privacy. The convergence properties of a dual decomposition algorithm developed to implement this negotiation process are analytically established. A case study is presented for an unbalanced 123-bus radial distribution network populated by household customers that demonstrates the practical effectiveness of the design.

Date: 2021-04-23
New Economics Papers: this item is included in nep-ene and nep-net
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://dr.lib.iastate.edu/server/api/core/bitstre ... 1380336a786d/content
Our link check indicates that this URL is bad, the error code is: 403 Forbidden

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:isu:genstf:202104230700001126

Access Statistics for this paper

More papers in ISU General Staff Papers from Iowa State University, Department of Economics Iowa State University, Dept. of Economics, 260 Heady Hall, Ames, IA 50011-1070. Contact information at EDIRC.
Bibliographic data for series maintained by Curtis Balmer ().