Improved Risk Analysis for Micro-grids based on Multi-Parametric Programming

With the continuous change of the world's energy structure, the safe and efficient operation of distribution system and microgrids is becoming increasingly important and challenging. This paper proposes an improved risk analysis algorithm for microgrids based on multi-parametric programming considering the integration of large-scale renewable energy. First, the risk analysis system for microgrids is established, including wind power curtailment risk, distribution line heavy load risk, and integrated risk. Then, the linear mapping relationship from uncertain factors like renewable energy output to value of each risk indicator is established through the multi-parametric programming method. The redundant optimization problem solving steps are omitted cause calculation is executed based on the divided critical domains. In the end, the risk analysis efficiency of microgrids is greatly improved.

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Publication Details

Published
2024-11-29
DOI
https://doi.org/10.1109/ei264398.2024.10990589
Primary Topic
Smart Grid and Power Systems
Type
article
Field-Weighted Citation Impact
0.00

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Improved Risk Analysis for Micro-grids based on Multi-Parametric Programming

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Improved Risk Analysis for Micro-grids based on Multi-Parametric Programming

Xiaomin Sun, Haonan Xie, F. Zhang, Xiaowen Liang, Chunfang Liu, Kuijing Liang
article en

Abstract

With the continuous change of the world's energy structure, the safe and efficient operation of distribution system and microgrids is becoming increasingly important and challenging. This paper proposes an improved risk analysis algorithm for microgrids based on multi-parametric programming considering the integration of large-scale renewable energy. First, the risk analysis system for microgrids is established, including wind power curtailment risk, distribution line heavy load risk, and integrated risk. Then, the linear mapping relationship from uncertain factors like renewable energy output to value of each risk indicator is established through the multi-parametric programming method. The redundant optimization problem solving steps are omitted cause calculation is executed based on the divided critical domains. In the end, the risk analysis efficiency of microgrids is greatly improved.

China Southern Power Grid
Openalex Percentile: Top 72%
Smart Grid and Power Systems
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