A Security Level Classification Method for Power Systems under N- 1 Contingency

Zhigang Lu, Liangce He, Dan Zhang, Boxuan Zhao, Jiangfeng Zhang and Hao Zhao
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Zhigang Lu: Key Lab of Power Electronics for Energy Conservation and Motor Drive of Hebei Province, Yanshan University, Qinhuangdao 066004, China
Liangce He: Key Lab of Power Electronics for Energy Conservation and Motor Drive of Hebei Province, Yanshan University, Qinhuangdao 066004, China
Dan Zhang: Weixian Power Supply Subsidiary, State Grid Hebei Electric Power Co., Ltd., Weixian 056800, China
Boxuan Zhao: Key Lab of Power Electronics for Energy Conservation and Motor Drive of Hebei Province, Yanshan University, Qinhuangdao 066004, China
Jiangfeng Zhang: School of Electrical, Mechanical and Mechatronic Systems, University of Technology Sydney, Ultimo, NSW 2007, Australia
Hao Zhao: Key Lab of Power Electronics for Energy Conservation and Motor Drive of Hebei Province, Yanshan University, Qinhuangdao 066004, China

Energies, 2017, vol. 10, issue 12, 1-17

Abstract: Security assessment is crucial for the reliable and secure operation of power systems. This paper proposes a security level classification (SLC) method to analyze the security level of power systems both qualitatively and quantitatively. In this SLC method, security levels are graded according to a comprehensive safety index (CSI), which is defined by integrating the system margin index (SMI) and load entropy. The SMI depends on the operating load and the total supply capacity (TSC) under N -1 contingency, and the load entropy reflects the heterogeneity of load distribution calculated from entropy theory. In order to calculate the TSC under N -1 contingency considering both of the computational accuracy and speed, the TSC is converted into an extended conic quadratic programming (ECQP) model. In addition, the load boundary vector (LBV) model is established to obtain the capacity limit of each load bus, and thus detect potential risks of power systems. Finally, two modified practical power systems and the IEEE 118-bus test system are studied to validate the feasibility of the proposed SLC method.

Keywords: comprehensive safety index (CSI); extended cone quadratic programming (ECQP); security level classification (SLC); total supply capacity (TSC) (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: 2017
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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