Steady-State Voltage Stability Evaluation of Power System Containing Wind Farm Based on Improved PEM and L Index
How to quickly and accurately evaluate the system voltage stability after large-scale wind power integration is of great significance to the safe operation of the power system. This paper proposes a method for evaluating the steady-state voltage stability of power system with wind farms based on the...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
State Grid Energy Research Institute
2022-09-01
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| Series: | Zhongguo dianli |
| Subjects: | |
| Online Access: | https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202203001 |
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| Summary: | How to quickly and accurately evaluate the system voltage stability after large-scale wind power integration is of great significance to the safe operation of the power system. This paper proposes a method for evaluating the steady-state voltage stability of power system with wind farms based on the improved point estimate method (PEM) and local voltage stability index (L index). Firstly, an improved PEM is put forward to calculate the order moments and semi-invariants of the L index and obtain its probability distribution by combining the Cornish-Fisher series expansion. Compared with the traditional 2n+1 method, this method can improve the fitting accuracy of the L index distribution without complex calculations such as higher-order moments. Then the risk preference utility function is employed to define and calculate the voltage instability risk of each node for assessing the static voltage stability of the power system with wind farms and identifying the weak nodes of system voltage stability. Finally, on the basis of the risk degree, the wind power grid-connected voltage stability factor is introduced to analyze the influence of wind power grid integration on the steady-state voltage stability of the system. The example results of the IEEE-14 node and IEEE-39 node verify the feasibility and effectiveness of the proposed method. |
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| ISSN: | 1004-9649 |