A stochastic optimization method for economic microgrid operation based on "source-load operation" mode classification
The volatility of renewable energy output and the randomness of user-side electricity consumption behavior have led to increasing source-load uncertainties， posing significant operational risks to microgrids. To address this issue， an economic operation decision-making method for microgrids based on...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | Chinese |
| Published: |
zhejiang electric power
2025-06-01
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| Series: | Zhejiang dianli |
| Subjects: | |
| Online Access: | https://zjdl.cbpt.cnki.net/WKE3/WebPublication/paperDigest.aspx?paperID=6cdedbf4-2b8a-4f75-ad82-0941f560d7e5 |
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| Summary: | The volatility of renewable energy output and the randomness of user-side electricity consumption behavior have led to increasing source-load uncertainties， posing significant operational risks to microgrids. To address this issue， an economic operation decision-making method for microgrids based on source-load operation mode classification is proposed to achieve economic operation under uncertain conditions. First， a multivariate time series representation based on information granules is used， and the traditional affinity propagation （AP） is improved with spatial weighted matrix distance （SWMD）. A multivariate time series clustering algorithm is applied to quantify correlations between variable dimensions， enabling the classification of microgrid operation modes. Second， a source-load probabilistic forecasting model for the target day is established using similar-day data under the same operation mode， and typical source-load forecasting scenarios are obtained through scenario generation and reduction. Finally， the adaptive weighted particle swarm optimization （AW-PSO） is employed to solve the stochastic optimization model for microgrid operations. Case study results show that the proposed method effectively handles source-load uncertainties while reducing operational costs. |
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| ISSN: | 1007-1881 |