Dynamic optimal power flow for active distribution networks
Gill, Simon and Kockar, Ivana and Ault, Graham (2014) Dynamic optimal power flow for active distribution networks. IEEE Transactions on Power Systems, 29 (1). pp. 121-131. ISSN 0885-8950 (https://doi.org/10.1109/TPWRS.2013.2279263)
PDF.
Filename: ANMDOPFpaperCopyright.pdf
Accepted Author Manuscript License: Unspecified Download (762kB) |
Abstract
Active Network Management is a philosophy for the operation of distribution networks with high penetrations of renewable distributed generation.Technologies such as energy storage and flexible demand are now beginning to be included in Active Network Management (ANM) schemes. Optimizing the operation of these schemes requires consideration of inter-temporal linkages as well as network power flow effects. Network effects are included in Optimal Power Flow (OPF) solutions but this only optimizes for a single point in time. Dynamic Optimal Power Flow (DOPF) is an extension of OPF to cover multiple time periods. This paper reviews the generic formulation of Dynamic Optimal Power Flow before developing a framework for modeling energy technologies with inter-temporal characteristics in an ANM context. The framework includes the optimization of non-firm connected generation, Principles of Access for non-firm generators, energy storage and flexible demand. Two objectives based on maximizing export and revenue are developed and a case study is used to illustrate the technique. Results show that DOPF is able to successfully schedule these energy technologies. DOPF schedules energy storage and flexible demand to reduce generator curtailment significantly in the case study. Finally the role of DOPF in analyzing ANM schemes is discussed with reference to extending the optimization framework to include other technologies and objectives.
ORCID iDs
Gill, Simon ORCID: https://orcid.org/0000-0002-4583-6042, Kockar, Ivana ORCID: https://orcid.org/0000-0001-9246-1303 and Ault, Graham ORCID: https://orcid.org/0000-0001-6369-4300;-
-
Item type: Article ID code: 44590 Dates: DateEvent2014Published11 September 2013Published OnlineSubjects: Technology > Electrical engineering. Electronics Nuclear engineering Department: Faculty of Engineering > Electronic and Electrical Engineering Depositing user: Pure Administrator Date deposited: 27 Aug 2013 13:23 Last modified: 22 Dec 2024 01:15 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/44590