Identifying Weak Transmission Lines in Power Systems with Intermittent Energy Resources and DC Integration

Anqi He, Jijing Cao, Shangwen Li, Lianlian Gong (), Mingming Yang and Jiawei Hu
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Anqi He: College of Railway Locomotive and Rolling Stock, Wuhan Railway Vocational College of Technology, Wuhan 430205, China
Jijing Cao: Wuhan EMU Depot of China Railway Wuhan Group Co., Ltd., Wuhan 430061, China
Shangwen Li: State Grid Hubei Electric Power Co., Ltd., Wuhan Power Supply Company, Wuhan 430013, China
Lianlian Gong: College of Railway Locomotive and Rolling Stock, Wuhan Railway Vocational College of Technology, Wuhan 430205, China
Mingming Yang: College of Railway Locomotive and Rolling Stock, Wuhan Railway Vocational College of Technology, Wuhan 430205, China
Jiawei Hu: Central China Branch of State Grid Corporation of China, Wuhan 430072, China

Energies, 2024, vol. 17, issue 16, 1-18

Abstract: Nowadays, intermittent energy resources, such as wind turbines, and direct current (DC) transmission have been extensively integrated into power systems. This paper proposes an identifying method for weak lines of novel power systems with intermittent energy resources and DC lines integration, which aims to provide decision making for control strategies of novel power systems and prevent system blackouts. First, from the perspective of power system safety and stability, a series of risk indicators for the risk assessment of vulnerable lines is proposed. Then, lines in the system are tripped one by one. The calculation method for the proposed risk indicators is introduced. The impact of each line outage on system safety and stability can be fairly evaluated by these proposed risk indicators. On this basis, each risk assessment indicator is weighted to obtain a comprehensive risk assessment indicator, and then the risk caused by each line outage on the system can be quantified efficiently. Finally, the test system of a modified IEEE-39 bus system with wind farms and DC lines integration is used to verify the applicability of the proposed method, and the effectiveness of the proposed method is also demonstrated by comparing with existing methods.

Keywords: weak line identification; intermittent energy resources; Gaussian mixture model; novel power systems (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: 2024
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