The Correlation Analysis Between New Energy Output Characteristics and Power Grid Voltage Risk Based on the CRITIC Method

Photovoltaic and wind power generation exhibit intermittent, fluctuating, and stochastic characteristics. When integrated into the grid, they alter the magnitude and direction of system power flows, thereby affecting the voltage levels of the power grid. This paper addresses this issue by establishing a probabilistic model for wind and photovoltaic power output. The Monte Carlo method is employed to simulate the probabilistic distribution ranges of actual wind speeds and solar irradiance intensities, which are then used to calculate the stochastic output of wind and photovoltaic systems. By integrating risk theory, the paper considers the impact of the randomness of wind and photovoltaic system outputs on the voltage risk of the power grid. A power grid voltage risk indicator is constructed, specifically the risk of voltage limit violations. The CRITIC method is then utilized to analyze the correlation between new energy output characteristics and power grid voltage risk indicators.

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Published
2024-12-20
DOI
https://doi.org/10.1109/icpee64457.2024.10949927
Primary Topic
Smart Grid and Power Systems
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article
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article

The Correlation Analysis Between New Energy Output Characteristics and Power Grid Voltage Risk Based on the CRITIC Method

Tingxiang Liu, Feng Xiao, Junxiong Ma, Zhengxi Li et al.
Smart Grid and Power Systems
article

The Correlation Analysis Between New Energy Output Characteristics and Power Grid Voltage Risk Based on the CRITIC Method

Tingxiang Liu, Feng Xiao, Junxiong Ma, Zhengxi Li, Ziming Wang, Pinkun He, Libing Yang
article en

Abstract

Photovoltaic and wind power generation exhibit intermittent, fluctuating, and stochastic characteristics. When integrated into the grid, they alter the magnitude and direction of system power flows, thereby affecting the voltage levels of the power grid. This paper addresses this issue by establishing a probabilistic model for wind and photovoltaic power output. The Monte Carlo method is employed to simulate the probabilistic distribution ranges of actual wind speeds and solar irradiance intensities, which are then used to calculate the stochastic output of wind and photovoltaic systems. By integrating risk theory, the paper considers the impact of the randomness of wind and photovoltaic system outputs on the voltage risk of the power grid. A power grid voltage risk indicator is constructed, specifically the risk of voltage limit violations. The CRITIC method is then utilized to analyze the correlation between new energy output characteristics and power grid voltage risk indicators.

North China Electric Power University (CN), Qinghai New Energy (China) (CN)
Affordable and clean energy
Openalex Percentile: Top 73%
Smart Grid and Power Systems
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The Correlation Analysis Between New Energy Output Characteristics and Power Grid Voltage Risk Based on the CRITIC Method — Tingxiang Liu, Feng Xiao, et al. · (2024) | TGRS Research Map | TGRS