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Topology-free optimal power dispatch for distribution network considering security constraints and flexible building thermal inertia
Ge Chen; Hongcai Zhang; Ningyi Dai; Yonghua Song
2021-07
Conference Name2021 IEEE Power & Energy Society General Meeting (PESGM)
Source PublicationIEEE Power and Energy Society General Meeting
Volume2021-July
Pages175685
Conference Date26-29 July 2021
Conference PlaceWashington, DC, USA
CountryUSA
PublisherIEEE
Abstract

With the increasing integration of distributed PV generation, the distribution network requires more and more flexibility to achieve the security-constrained optimal power dispatch. However, the conventional flexibility sources usually require additional investment cost for equipment. Moreover, involving the security constraints is very challenging due to the requirements of accurate network model that may be unavailable in practice. This paper addresses the aforementioned challenge by proposing a topology-free optimal power dispatch framework for distribution networks. It utilizes building thermal inertia to provide flexibility to avoid additional investment. To guarantee the operation safety, a multi-layer perception (MLP) is trained based on historical operational data and then reformulated as mixed-integer constraints to replace the inexplicit original security constraints. Numerical results confirm that the proposed framework can derive a feasible and optimal strategy without any topology information.

KeywordBuilding Thermal Inertia Demand Response Neural Networks Optimization Security Constraints
DOI10.1109/PESGM46819.2021.9638204
URLView the original
Indexed ByCPCI-S
Language英語English
WOS Research AreaEnergy & Fuels ; Engineering
WOS SubjectEnergy & Fuels ; Engineering, Electrical & Electronic
WOS IDWOS:000821942400386
Scopus ID2-s2.0-85124150384
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Citation statistics
Document TypeConference paper
CollectionDEPARTMENT OF ELECTRICAL AND COMPUTER ENGINEERING
Faculty of Science and Technology
THE STATE KEY LABORATORY OF INTERNET OF THINGS FOR SMART CITY (UNIVERSITY OF MACAU)
Corresponding AuthorHongcai Zhang
AffiliationDepartment of Electrical and Computer Engineering, State Key Laboratory of Internet of Things for Smart City, University of Macau, Macao, China
First Author AffilicationUniversity of Macau
Corresponding Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Ge Chen,Hongcai Zhang,Ningyi Dai,et al. Topology-free optimal power dispatch for distribution network considering security constraints and flexible building thermal inertia[C]:IEEE, 2021, 175685.
APA Ge Chen., Hongcai Zhang., Ningyi Dai., & Yonghua Song (2021). Topology-free optimal power dispatch for distribution network considering security constraints and flexible building thermal inertia. IEEE Power and Energy Society General Meeting, 2021-July, 175685.
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