A Modified Bottom Up Approach to Estimate Expected Demand Reduction During a Rare Event
2022 International Conference on Smart Generation Computing, Communication and Networking, SMART GENCON 2022
; 2022.
Article
in English
| Scopus | ID: covidwho-2319510
ABSTRACT
Indian power system witnessed its largest very short-time demand ramping during light off event conducted to express solidarity with COVID-19 volunteers. 32 GW demand ramping was observed within 25 minutes and recorded as the highest ramping event across the globe. System operator has taken precautions and successfully handled the event with the help of hydro generation. However, system experienced severe frequency and voltage deviations due to unexpected consumer behaviour. A systematic study and an in-depth analysis of such a severe event would help system operators and planners to prepare for similar events. This paper presents a critical analysis of the activity and conducted a survey to understand consumer response during that event. It also proposes a modified Bottom-Up Approach to estimate Expected Demand Reduction (EDR) for such critical events. Proposed model is validated using data collected from the conducted survey. Proposed EDR estimation model offers better results than the Top Down and Bottom-up approach models used by system operator. © 2022 IEEE.
Gas Power Plants; Hydro power generation; Power System Flexibility; Power System Operation and Control; Renewable Generation; COVID-19; Electric power system control; Hydroelectric power; Hydroelectric power plants; Bottom up approach; Demand reduction; Hydro-power generation; Indian power systems; Light off; Power system flexibilities; Power system operation and controls; System operator; Gas plants
Full text:
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Collection:
Databases of international organizations
Database:
Scopus
Language:
English
Journal:
2022 International Conference on Smart Generation Computing, Communication and Networking, SMART GENCON 2022
Year:
2022
Document Type:
Article
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