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Updated: Apr 3, 2026

Surface Renewal: An Advanced Micrometeorological Method for Measuring and Processing Field-Scale Energy Flux Density Data
Published on: December 12, 2013
Smoothing effect for spatially distributed renewable resources and its impact on power grid robustness
Motoki Nagata1, Yoshito Hirata1, Naoya Fujiwara2
1Graduate School of Information Science and Technology, The University of Tokyo, Tokyo, Japan.
Spatial correlation in renewable energy outputs significantly weakens power grid stability. Understanding this geographic link is crucial for robust grid design and reliable energy supply. This research highlights a key factor in grid resilience.
Area of Science:
- Power Systems Engineering
- Renewable Energy Integration
- Grid Stability Analysis
Background:
- Renewable energy sources (RES) are increasingly integrated into power grids.
- The spatial correlation of RES outputs can impact grid performance.
- The effect of this spatial correlation on power grid robustness is not well understood.
Purpose of the Study:
- To evaluate the influence of spatial correlation in renewable energy outputs on power grid robustness.
- To analyze how geographic location affects renewable energy output correlation.
- To assess the impact of this correlation on grid stability using a realistic model.
Main Methods:
- Spatial correlation analysis of renewable energy outputs.
- Power grid robustness analysis using a differential-algebraic equations model.
- Simulation based on the power grid topology of eastern Japan.
Main Results:
- Spatial correlation of renewable energy outputs is location-dependent.
- Strong spatial correlation of energy resources significantly degrades power grid robustness.
- The analyzed power grid exhibited reduced stability due to correlated renewable energy inputs.
Conclusions:
- Spatial correlation of renewable energy outputs is a critical factor affecting power grid stability.
- Grid stability assessments must account for the spatial correlation of renewable energy generation.
- Future grid planning should incorporate spatial correlation to enhance resilience against fluctuations.
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