Robust Optimization Approach for Generation Scheduling of a Hybrid Thermal-Energy Storage System

Hooman Khaloie, Amjad Anvari-Moghaddam*

*Kontaktforfatter

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13 Citationer (Scopus)
56 Downloads (Pure)

Abstract

In this paper, a new framework for optimal
generation scheduling of a hybrid thermal-energy
storage (HTES) system is proposed. The proposed
generation scheduling is formulated based on the profit
maximization of the HTES system, concentrating on
taking part in the energy market. The proposed hybrid
structure integrates energy storage system (ESS) and
thermal units in the form of a hybrid system in a
way that a physical connection between these two
resources is installed. This physical connection lets the
HTES operator charge the ESS through thermal units
while it is economical. In order to efficiently address
the generation scheduling problem in the presence of
market uncertainty, a robust optimization architecture
is suggested. The proposed robust model is capable of
deriving conservative strategies that are robust against
the energy market uncertainty. The formulation of the
considered robust problem is carried out based on
mixed-integer programming (MIP) and is solved via
general algebraic modeling system (GAMS) software.
OriginalsprogEngelsk
Titel29th IEEE International Symposium on Industrial Electronics (ISIE 2020)
Antal sider6
ForlagIEEE Press
Publikationsdato2020
Sider971-976
Artikelnummer9152266
ISBN (Elektronisk)9781728156354
DOI
StatusUdgivet - 2020
Begivenhed29th IEEE International Symposium on Industrial Electronics, ISIE 2020 - Delft, Holland
Varighed: 17 jun. 202019 jun. 2020

Konference

Konference29th IEEE International Symposium on Industrial Electronics, ISIE 2020
Land/OmrådeHolland
ByDelft
Periode17/06/202019/06/2020
SponsorIEEE, IEEE Industrial Electronics Society (IES)
NavnIndustrial Electronics (ISIE), IEEE International Symposium on
ISSN2163-5137

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