Coordinated Scheme of Under-Frequency Load Shedding with Intelligent Appliances in a Cyber Physical Power System

Qi Wang, Yi Tang, Feng Li, Mengya Li, Yang Li and Ming Ni
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Qi Wang: School of Electrical Engineering, Southeast University, Nanjing 210096, Jiangsu, China
Yi Tang: School of Electrical Engineering, Southeast University, Nanjing 210096, Jiangsu, China
Feng Li: School of Electrical Engineering, Southeast University, Nanjing 210096, Jiangsu, China
Mengya Li: School of Electrical Engineering, Southeast University, Nanjing 210096, Jiangsu, China
Yang Li: School of Electrical Engineering, Southeast University, Nanjing 210096, Jiangsu, China
Ming Ni: State Grid Electric Power Research Institute, Nanjing 210003, Jiangsu, China

Energies, 2016, vol. 9, issue 8, 1-14

Abstract: The construction of a cyber physical system in a power grid provides more potential control strategies for the power grid. With the rapid employment of intelligent terminal equipment (e.g., smart meters and intelligent appliances) in the environment of a smart grid, abundant dynamic response information could be introduced to support a secure and stable power system. Combining demand response technology with the traditional under-frequency load shedding (UFLS) scheme, a new UFLS strategy-determining method involving intelligent appliances is put forward to achieve the coordinated control of quick response resources and the traditional control resources. Based on this method, intelligent appliances can be used to meet the regulatory requirements of system operation in advance and prevent significant frequency drop, thereby improving the flexibility and stability of the system. Time-domain simulation verifies the effectiveness of the scheme, which is able to mitigate frequency drop and reduce the amount of load shedding.

Keywords: under-frequency load shedding; demand response; cyber physical power system; intelligent home appliance (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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