NDLI: Event-driven frequency and voltage stability predictive assessment and unified load shedding

Content Provider	IET Digital Library
Author	Singh, Ajeet Kumar Fozdar, Manoj
Abstract	A well-designed scheme is essential for assessment and protection of the stability of power system after an unanticipated event. This paper proposes a strategy for regulating three-phase faults and other events that endanger frequency or voltage stability of the system. The aim is to promptly identify such events utilizing supervised learning-based classification modules, and initiate suitable emergency control. The imbalances of active and reactive power after an event have been utilized to predict the stability of system. A new optimization-based formulation has been presented for estimation of reactive power imbalance. An event predicted as unstable is counteracted by prompt load shedding. Conventionally, load shedding is based on frequency or voltage information independently which reduces the effect of load shedding. This work proposes a new load shedding procedure considering both active and reactive power. The proposed scheme is tested on New England (NE) 39-bus system and Northern Regional Power Grid (NRPG) 246-bus system, and results of load shedding have been compared with two existing load shedding schemes. The results indicate the accuracy of classification modules in identifying faults and unstable events, and the proposed load shedding restores stability of the system with less amount of load shed and better voltage profile.
Starting Page	4410
Ending Page	4420
Page Count	11
ISSN	17518687
Volume Number	13
e-ISSN	17518695
Issue Number	Issue 19, Oct (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-gtd/13/19
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2018.6750
Journal	IET Generation, Transmission & Distribution
Publisher Date	2019-08-15
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Active Power Control of Electric Power System Existing Load Shedding Scheme Knowledge Engineering Technique Learning in AI Learning-based Classification Module Load Shedding Load Shedding Procedure Load Shedding Restores Stability New England 39-bus System Northern Regional Power Grid 246-bus System Optimisation Technique Optimisation-based Formulation Power Engineering Computing Power Grid Power System Power System Control Power System Economics Power System Managemen Power System Operation Power System Stability Prompt Load Shedding Reactive Power Imbalance Unanticipated Event Unified Load Shedding Unstable Events Voltage Stability Predictive Assessment
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Energy Engineering and Power Technology Electrical and Electronic Engineering

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