Abstract
In order to coordinate the stability and operation efficiency of the microgrid, the inertial support characteristics and frequency support capability of the grid-forming storage are analyzed. Based on this, the optimization objectives of the microgrid are clarified, and the constraints such as power balance, equipment operation, system inertia, and reserve capacity are formed. Combined with the nonlinear optimization problem solver of the Optimization Toolbox, an optimization scheduling strategy considering the support capability of the grid-forming energy storage proposed. In order to test the effectiveness of the proposed strategy, the joint probability distribution function of wind and solar power generation is constructed by using the kernel density estimation method the Copula function, and the typical scenarios of new energy are formed based on the K-means clustering. The analysis is carried out under the typical scenarios, and results show that the proposed method can give full play to the support capability of the grid-forming energy storage and effectively improve the level of new energy consumption.
| Translated title of the contribution | Optimal Scheduling Strategy for Microgrid Considering the Support Capabilities of Grid Forming Energy Storage |
|---|---|
| Original language | Chinese (Traditional) |
| Pages (from-to) | 103-110 |
| Number of pages | 8 |
| Journal | Zhongguo Dianli/Electric Power |
| Volume | 58 |
| Issue number | 2 |
| DOIs | |
| State | Published - 28 Feb 2025 |
| Externally published | Yes |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
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