NDLI: Unified two-stage reconfiguration method for resilience enhancement of distribution systems

Content Provider	IET Digital Library
Author	Liu, Jiancun Yu, Yixin Qin, Chao
Abstract	Fast load restoration based on network reconfiguration is a key step to enhance the resilience of distribution systems (DSs). For DSs equipped with remote-controlled switches (RCSs), the reconfiguration can be completed promptly. However, when the branch is equipped with manual switches only, it cannot be operated immediately, and its post-event state is determined by its pre-event state. Considering these facts, this study proposes a unified two-stage reconfiguration method for the resilience enhancement of DSs. In the pre-event stage, the allocation of RCSs and the reconfiguration of the network are determined to prepare the system for a set of possible fault scenarios caused by upcoming extreme weather. In the post-event stage, network reconfiguration based on the placed RCSs is performed for fast load restoration to minimise the loss of load expectation (LOLE). A new mathematical expression is proposed to ensure the radial operation of DSs with islanded DSs and islanded microgrids. To improve the computational efficiency, the scenario decomposition algorithm is employed to decompose the proposed model into several subproblems, which can be solved in parallel. The results show that the proposed method can significantly reduce the LOLE caused by extreme weather events, thus enhancing the resilience of DSs.
Starting Page	1734
Ending Page	1745
Page Count	12
ISSN	17518687
Volume Number	13
e-ISSN	17518695
Issue Number	Issue 9, May (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-gtd/13/9
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2018.6680
Journal	IET Generation, Transmission & Distribution
Publisher Date	2019-02-11
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Distributed Power Generation Distribution System Extreme Weather Events Fast Load Restoration Islanded DS Islanded Microgrid LOLE Loss of Load Expectation Network Reconfiguration Power Distribution Fault Power System Economics Power System Managemen Power System Operation Power System Restoration Reliability Remote-controlled Switches Resilience Enhancement Scenario Decomposition Algorithm Two-stage Reconfiguration Method
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Energy Engineering and Power Technology Electrical and Electronic Engineering

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