A Robust Mixed-Integer Convex Model for Optimal Scheduling of Integrated Energy Storage-Soft Open Point Devices

Soft open points (SOPs) are power electronic devices which can replace conventional normally open points in distribution networks. SOPs enable full control of active power flow between the interconnected feeders and can inject reactive power at each node to which they are connected. SOPs integrated...

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Bibliographic Details
Published inIEEE transactions on smart grid Vol. 13; no. 5; pp. 4072 - 4087
Main Authors Sarantakos, Ilias, Peker, Meltem, Zografou-Barredo, Natalia-Maria, Deakin, Matthew, Patsios, Charalampos, Sayfutdinov, Timur, Taylor, Phil C., Greenwood, David
Format Journal Article
LanguageEnglish
Published Piscataway IEEE 01.09.2022
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Active control
Batteries
Converter losses
convex optimization
Costs
DC-DC power converters
Electronic devices
Energy storage
Feeders
Flexibility
Load flow
Mixed integer
Networks
Nonlinear equations
Optimal scheduling
Polynomials
Power flow
Reactive power
robust optimization
Robustness
Schedules
Scheduling
soft open~point
Subsystems
Uncertainty
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Summary:Soft open points (SOPs) are power electronic devices which can replace conventional normally open points in distribution networks. SOPs enable full control of active power flow between the interconnected feeders and can inject reactive power at each node to which they are connected. SOPs integrated with energy storage (ES) have been recently proposed to realize both spatial and temporal flexibility in active distribution networks. The flexibility provided by integrated ES-SOP devices will allow network operators to run their networks closer to their limits, but only if there is appropriate management of the uncertainty arising from demand and renewable generation. The only existing model of an ES-SOP uses nonconvex nonlinear equations, neglects uncertainty, and represents converter losses in an oversimplistic manner. This paper presents a robust mixed-integer convex model for the optimal scheduling of integrated ES-SOPs to ensure a zero probability of constraint violation. Losses of the subsystems comprising the ES-SOP are modeled using a proposed binary-polynomial model, enabling efficient scheduling of the energization state of subsystems to reduce no-load losses. The ES-SOP is considered in this paper to be owned by the network operator to: 1) manage power flow constraints, 2) minimize cost of losses, and 3) maximize arbitrage profit.
ISSN:1949-3053
1949-3061
DOI:10.1109/TSG.2022.3145709