Distributed Cost Minimization Power Flow in Distribution Systems with DGs

Satish Sharma, Han La Poutre

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

Abstract

Optimal power flow is usually a non-convex problem of central coordination because of the nonlinear relations between nodal voltages and power supplied/withdrawn. In this paper, we propose a sequential distributed algorithm to address the problem of cost minimization power flow in distribution systems. Each node is considered as an agent, which solves its local optimization problem with the local knowledge of the network and communicated state variables of its neighbors. The power generation is optimized by the decomposed sub-problem at each node in backward sequence and the voltages are calculated in forward sequence. Our approach does not require any form of central coordination or regional control. The proposed algorithm has a fast convergence which is illustrated on various distribution test systems.

Original languageEnglish
Title of host publication2019 IEEE Power and Energy Society General Meeting, PESGM 2019
PublisherIEEE
Number of pages5
Volume2019-August
ISBN (Electronic)9781728119816
DOIs
Publication statusPublished - 2019
Event2019 IEEE Power and Energy Society General Meeting, PESGM 2019 - Atlanta, United States
Duration: 4 Aug 20198 Aug 2019
http://www.pes-gm.org/2019/

Conference

Conference2019 IEEE Power and Energy Society General Meeting, PESGM 2019
Abbreviated titlePESGM 2019
CountryUnited States
CityAtlanta
Period4/08/198/08/19
Internet address

Fingerprint

Dive into the research topics of 'Distributed Cost Minimization Power Flow in Distribution Systems with DGs'. Together they form a unique fingerprint.

Cite this