Residential College | false |
Status | 已發表Published |
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 Name | 2021 IEEE Power & Energy Society General Meeting (PESGM) |
Source Publication | IEEE Power and Energy Society General Meeting |
Volume | 2021-July |
Pages | 175685 |
Conference Date | 26-29 July 2021 |
Conference Place | Washington, DC, USA |
Country | USA |
Publisher | IEEE |
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. |
Keyword | Building Thermal Inertia Demand Response Neural Networks Optimization Security Constraints |
DOI | 10.1109/PESGM46819.2021.9638204 |
URL | View the original |
Indexed By | CPCI-S |
Language | 英語English |
WOS Research Area | Energy & Fuels ; Engineering |
WOS Subject | Energy & Fuels ; Engineering, Electrical & Electronic |
WOS ID | WOS:000821942400386 |
Scopus ID | 2-s2.0-85124150384 |
Fulltext Access | |
Citation statistics | |
Document Type | Conference paper |
Collection | DEPARTMENT 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 Author | Hongcai Zhang |
Affiliation | Department of Electrical and Computer Engineering, State Key Laboratory of Internet of Things for Smart City, University of Macau, Macao, China |
First Author Affilication | University of Macau |
Corresponding Author Affilication | University 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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