NDLI: Intentional controlled islanding: when to island for power system blackout prevention

Content Provider	IET Digital Library
Author	Porras, Pablo Fernández Panteli, Mathaios Tortós, Jairo Quirós
Abstract	Power systems are prone to cascading outages leading to large-area blackouts with significant social and economic consequences. Intentional controlled islanding (i.e. the separation of the system into sustainable islands) is an effective strategy to mitigate these catastrophic events. To ensure a correct separation, nonetheless, it is crucial to define a suitable time to split the system (i.e. to answer the when to island question). To consider the probability of the event, the reliability of the system components, the reliability of the information and communication technologies, and the potential economic costs of the event, answering the above question within a risk-based framework becomes critical. To date, however, this has not been done. This study proposes a risk-based methodology to define, in an adaptive manner, a suitable time to split the system following an event. This methodology complements the well-studied where to island question, resulting in an integral solution of the islanding problem. To illustrate the approach, the IEEE 118-bus dynamic system is adopted considering realistic security criteria. Simulation results demonstrate the effectiveness and flexibility of the methodology in identifying a suitable time for the creation of islands, which, in turn, results in the prevention of blackouts that would otherwise be obtained.
Starting Page	3542
Ending Page	3549
Page Count	8
ISSN	17518687
Volume Number	12
e-ISSN	17518695
Issue Number	Issue 14, Aug (2018)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-gtd/12/14
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2017.1526
Journal	IET Generation, Transmission & Distribution
Publisher Date	2018-05-17
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Catastrophic Event Mitigation Distributed Power Generation Economic Consequences Economic Cost Event Probability IEEE 118-bus Dynamic System Information And Communication Technology Intentional Controlled Islanding Power Generation Reliability Power System Blackout Prevention Power System Control Power System Security Realistic Security Criteria Reliability Risk Analysis Risk-based Framework Social ConSequence System Component Reliability
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Energy Engineering and Power Technology Electrical and Electronic Engineering

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