Two-stage stochastic scheduling of transportable energy storage systems for resilient distribution systems

Two-stage stochastic scheduling of transportable energy storage systems for resilient distribution systems

Transportable energy storage systems (TESSs) provide critical flexibility to enhance the distribution system (DS) resilience. In this paper, a two-stage stochastic restoration scheme is proposed to minimize the total cost. In this model, uncertainties of load consumption and PV power are considered...

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Bibliographic Details
Main Authors: Yao, Shuhan, Zhao, Tianyang, Zhang, Huajun, Wang, Peng, Goel, Lalit
Other Authors: School of Electrical and Electronic Engineering
Format: Conference or Workshop Item
Language:English
Published: 2019
Subjects:
Engineering::Electrical and electronic engineering
Transportable Energy Storage Microgrids
Resilience
Online Access:https://hdl.handle.net/10356/89481
http://hdl.handle.net/10220/49575
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Institution: Nanyang Technological University
Language: English
Description
Summary:Transportable energy storage systems (TESSs) provide critical flexibility to enhance the distribution system (DS) resilience. In this paper, a two-stage stochastic restoration scheme is proposed to minimize the total cost. In this model, uncertainties of load consumption and PV power are considered to generate scenarios by using Monte Carlo simulation. A modified temporal-spatial network (TSN)-based scheduling model is proposed to schedule TESSs among MGs. The restoration problem is formulated as a mixed-integer linear programming, satisfying self- adequacy, operation and topology constraints. Case studies are implemented on a modified 33-bus test system to demonstrate the effectiveness of the proposed method.

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