Coordinating dynamic network reconfiguration with ANM in active distribution network optimisation considering system structure security evaluation

The growing penetration of renewable energy resources in distribution networks demands for more active management tools. As a new controllable resource, dynamic network reconfiguration (DNR) can improve the flexibility of active distribution network, and in turn decreasing the operation cost of the...

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Veröffentlicht in:	IET generation, transmission & distribution Jg. 13; H. 19; S. 4355 - 4363
Hauptverfasser:	Li, Chao, Miao, Shihong, Li, Yaowang, Zhang, Di, Ye, Chang, Liu, Ziwen, Li, Lixing
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	The Institution of Engineering and Technology 08.10.2019
Schlagworte:	active distribution network optimisation active management tools active network management ANM controllable resource demand response distribution network operation constraints DNR switches dynamic network reconfiguration extended IEEE 33‐node distribution network mixed‐integer second‐order cone programming problem model transformation method no‐convex optimisation model optimisation power distribution control RDG active‐reactive outputs renewable distributed generation curtailment renewable energy resources Research Article scheduling resources second‐order cone relaxation static var compensator static VAr compensators system structure security evaluation variable substitution linearisation power distribution control ANM RDG active-reactive outputs dynamic network reconfiguration static VAr compensators model transformation method DNR switches static var compensator renewable distributed generation curtailment renewable energy resources active management tools active distribution network optimisation optimisation active network management mixed-integer second-order cone programming problem system structure security evaluation no-convex optimisation model distribution network operation constraints extended IEEE 33-node distribution network controllable resource second-order cone relaxation variable substitution linearisation scheduling resources demand response
ISSN:	1751-8687, 1751-8695
Online-Zugang:	Volltext
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