A hybrid control approach for regulating frequency through demand response. (15th January 2018)

• Record Type: Journal Article
• Authors: Malik, Anam; Ravishankar, Jayashri
• Is Part Of: Applied energy. Volume 210(2018)
• Page Start: 1347
• Page End: 1362
• Publication Date: 2018-01-15
• Subjects: Frequency regulation -- Demand response -- Renewables -- Cooperative Home Energy Management system -- Adaptive hill climbing method -- Control loads; Power (Mechanics) -- Periodicals; Energy conservation -- Periodicals; Energy conversion -- Periodicals; 621.042
• DOI: 10.1016/j.apenergy.2017.08.160
• Languages: English
• ISSNs: 0306-2619

Abstract

Highlights: Simulation set up with both diesel and wind generation to study frequency regulation by demand response. Domestic refrigerators used as control loads along with automatic generation control for regulating frequency. Proposed architecture with Cooperative Home Energy Management systems (CoHEM) at distribution transformers. Results with proposed controller validated against no control and centralized control case. Abstract: Many countries worldwide have set ambitious targets for integrating renewable energy in their power network. Where renewable energy reduces carbon footprint, its reduced inertia makes the system susceptible to frequency deviation after disturbance. This paper presents a novel hybrid frequency regulation strategy by using domestic refrigerators as control loads. The proposed strategy uses the idea of Cooperative Home Energy Management system (CoHEM) at distribution transformers and exploits the best of both centralized and decentralized control systems. A hybrid power network setup with both diesel and wind generation is designed in Simulink so as to study the frequency profile of the system after disturbance. The effectiveness of the strategy is validated without control and with centralized control under four different scenarios. Results when compared to without controller, suggest that the proposed controller exhibits less frequency error and is able to regulate frequency faster. The results were in par with the centralized controller; however, the proposed architecture is anticipated to save time, technical cost and computational burden over a centralized controller.