NDLI: Risk-neutral and risk-averse transmission switching for load shed recovery with uncertain renewable generation and demand

Content Provider	IET Digital Library
Author	Zhang, Yingqiu Bansal, Manish Escobedo, Adolfo R.
Abstract	One of the main desired capabilities of the smart grid is ‘self-healing’, which is the ability to quickly restore power after a disturbance. Due to critical outage events, customer demand or load is at times disconnected or shed temporarily. While deterministic optimisation models have been devised to help operators expedite load shed recovery by harnessing the flexibility of the grid's topology (i.e. transmission line switching), an important issue that remains unaddressed is how to cope with the uncertainty in generation and demand encountered during the recovery process. This study introduces two-stage stochastic models to deal with these uncertain parameters, and one of them incorporates conditional value-at-risk to measure the risk level of unrecovered load shed. The models are implemented using a scenario-based approach where the objective is to maximise load shed recovery in the bulk transmission network by switching transmission lines and performing other corrective actions (e.g. generator re-dispatch) after the topology is modified. The benefits of the proposed stochastic models are compared with a deterministic mean-value model, using the IEEE 118- and 14-bus test cases. Experiments highlight how the proposed approach can serve as an offline contingency analysis tool, and how this method aids self-healing by recovering more load shedding.
Starting Page	4936
Ending Page	4945
Page Count	10
ISSN	17518687
Volume Number	14
e-ISSN	17518695
Issue Number	Issue 21, Nov (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-gtd/14/21
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2020.0964
Journal	IET Generation, Transmission & Distribution
Publisher Date	2020-08-28
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	A.c. Transmission Bulk Transmission Network Critical Outage Events Customer Demand Deterministic Mean-value Model Deterministic Optimisation Model Generator Re-dispatch Grid Topology IEEE 118-bus Test Case IEEE 14-bus Test Case IEEE 6-bus Test Case Load Shed Recovery Load Shedding Offline Contingency Analysis Tool Optimisation Optimisation Technique Power System Economics Power System Managemen Power System Operation Power Transmission Reliability Recovery Process Reliability Risk Level Risk-averse Transmission Risk-neutral Switching Smart Grid Smart Power Grid Stochastic Linearised SCUC Transmission Line Transmission Line Switching Two-stage Stochastic Model Uncertain Parameter Uncertain Renewable Demand Uncertain Renewable Generation Unrecovered Load Value-at-risk
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Energy Engineering and Power Technology Electrical and Electronic Engineering

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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