Classification Study of New Power System Stability Considering Stochastic Disturbance Factors

Sheng Li (), Changhong Duan (), Yuan Gao and Yuhao Cai
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Sheng Li: School of Electric Power Engineering, Nanjing Institute of Technology, Nanjing 211167, China
Changhong Duan: School of Electric Power Engineering, Nanjing Institute of Technology, Nanjing 211167, China
Yuan Gao: School of Electric Power Engineering, Nanjing Institute of Technology, Nanjing 211167, China
Yuhao Cai: School of Electric Power Engineering, Nanjing Institute of Technology, Nanjing 211167, China

Sustainability, 2023, vol. 15, issue 24, 1-22

Abstract: Power system instability causes many local or large-scale power outage accidents. To maintain sustainable development, a new power system construction aimed at maximizing new energy consumption is being put on the agenda. However, with a large increase in stochastic disturbance factors (SDFs), the system gradually shows strong stochasticity, and the stability presents greater complexity. It is necessary to analyze the impact on the system based on different processing methods of SDFs to maintain system stability. This paper delves into the impact of SDFs on system stability by analyzing and summarizing both stochastic variables and processes. Initially, the SDFs in the power system are meticulously analyzed and categorized. When the SDFs are treated as stochastic variables, the probabilistic stability is classified and evaluated based on a probability analysis method, which includes the probabilistic small-disturbance stability, the probabilistic transient stability, and the probabilistic voltage stability. When the SDFs are treated as stochastic processes, the stochastic stability is classified and evaluated by using a stochastic analysis method, including the stochastic small-disturbance stability, the stochastic transient stability, and the stochastic voltage stability. Finally, the research perspectives on SDFs and system stability are discussed and prospected.

Keywords: new power system stability; stochastic disturbance factor (SDF); probabilistic stability; stochastic stability (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
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