Abstract
Language | English |
---|---|
Pages | 121-131 |
Number of pages | 11 |
Journal | IEEE Transactions on Power Systems |
Volume | 29 |
Issue number | 1 |
Early online date | 11 Sep 2013 |
DOIs | |
Publication status | Published - 2014 |
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Keywords
- dynamic optimal power flow
- active distribution networks
- energy storage
- optimal power flow
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Dynamic optimal power flow for active distribution networks. / Gill, Simon; Kockar, Ivana; Ault, Graham.
In: IEEE Transactions on Power Systems, Vol. 29, No. 1, 2014, p. 121-131.Research output: Contribution to journal › Article
TY - JOUR
T1 - Dynamic optimal power flow for active distribution networks
AU - Gill, Simon
AU - Kockar, Ivana
AU - Ault, Graham
PY - 2014
Y1 - 2014
N2 - 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.
AB - 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.
KW - dynamic optimal power flow
KW - active distribution networks
KW - energy storage
KW - optimal power flow
UR - http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=59
U2 - 10.1109/TPWRS.2013.2279263
DO - 10.1109/TPWRS.2013.2279263
M3 - Article
VL - 29
SP - 121
EP - 131
JO - IEEE Transactions on Power Systems
T2 - IEEE Transactions on Power Systems
JF - IEEE Transactions on Power Systems
SN - 0885-8950
IS - 1
ER -