Two-stage robust planning method for distribution network energy storage based on load forecasting
A two-stage robust planning method for energy storage in distribution networks based on load prediction is proposed to address the uncertainty of active load in energy storage planning. First, considering the uncertainty of active load, a short-term load forecasting model combining the mutual inform...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2024-03-01
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| Series: | Frontiers in Energy Research |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fenrg.2024.1327857/full |
| _version_ | 1797261482991288320 |
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| author | Minghan Yuan Hua Zhang Kunhua Ji Yangyang Liu Xiao Tang Biao Tao Zichen Li Yang Mi |
| author_facet | Minghan Yuan Hua Zhang Kunhua Ji Yangyang Liu Xiao Tang Biao Tao Zichen Li Yang Mi |
| author_sort | Minghan Yuan |
| collection | DOAJ |
| description | A two-stage robust planning method for energy storage in distribution networks based on load prediction is proposed to address the uncertainty of active load in energy storage planning. First, considering the uncertainty of active load, a short-term load forecasting model combining the mutual information method and BiLSTM is established based on k-means++ clustering. Second, based on the results of load forecasting, a comprehensive norm-constrained uncertainty set is constructed, and a two-stage robust model for distribution network energy storage planning is established. The first stage aims to minimize the annual investment cost of the energy storage system, while the second stage aims to minimize the daily operating cost of the distribution network. At the same time, a second-order cone relaxation transformation model with non-convex constraints is introduced to ultimately achieve the optimal economy of the distribution network in energy storage planning. Finally, the effectiveness of the proposed method and model is validated on the IEEE 33-node distribution network model using the MATLAB platform. |
| first_indexed | 2024-04-24T23:41:56Z |
| format | Article |
| id | doaj.art-14111c48ce26451697fe52f72106b306 |
| institution | Directory Open Access Journal |
| issn | 2296-598X |
| language | English |
| last_indexed | 2024-04-24T23:41:56Z |
| publishDate | 2024-03-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Energy Research |
| spelling | doaj.art-14111c48ce26451697fe52f72106b3062024-03-15T10:01:03ZengFrontiers Media S.A.Frontiers in Energy Research2296-598X2024-03-011210.3389/fenrg.2024.13278571327857Two-stage robust planning method for distribution network energy storage based on load forecastingMinghan Yuan0Hua Zhang1Kunhua Ji2Yangyang Liu3Xiao Tang4Biao Tao5Zichen Li6Yang Mi7Shanghai Power Supply Company, State Grid Shanghai Electric Company, Shanghai, ChinaShanghai Power Supply Company, State Grid Shanghai Electric Company, Shanghai, ChinaShanghai Power Supply Company, State Grid Shanghai Electric Company, Shanghai, ChinaShanghai Power Supply Company, State Grid Shanghai Electric Company, Shanghai, ChinaShanghai Power Supply Company, State Grid Shanghai Electric Company, Shanghai, ChinaCollege of Electrical Engineering, Shanghai University of Electric Power, Shanghai, ChinaCollege of Electrical Engineering, Shanghai University of Electric Power, Shanghai, ChinaCollege of Electrical Engineering, Shanghai University of Electric Power, Shanghai, ChinaA two-stage robust planning method for energy storage in distribution networks based on load prediction is proposed to address the uncertainty of active load in energy storage planning. First, considering the uncertainty of active load, a short-term load forecasting model combining the mutual information method and BiLSTM is established based on k-means++ clustering. Second, based on the results of load forecasting, a comprehensive norm-constrained uncertainty set is constructed, and a two-stage robust model for distribution network energy storage planning is established. The first stage aims to minimize the annual investment cost of the energy storage system, while the second stage aims to minimize the daily operating cost of the distribution network. At the same time, a second-order cone relaxation transformation model with non-convex constraints is introduced to ultimately achieve the optimal economy of the distribution network in energy storage planning. Finally, the effectiveness of the proposed method and model is validated on the IEEE 33-node distribution network model using the MATLAB platform.https://www.frontiersin.org/articles/10.3389/fenrg.2024.1327857/fullenergy storageuncertaintyload forecastingBiLSTMcomprehensive norm |
| spellingShingle | Minghan Yuan Hua Zhang Kunhua Ji Yangyang Liu Xiao Tang Biao Tao Zichen Li Yang Mi Two-stage robust planning method for distribution network energy storage based on load forecasting Frontiers in Energy Research energy storage uncertainty load forecasting BiLSTM comprehensive norm |
| title | Two-stage robust planning method for distribution network energy storage based on load forecasting |
| title_full | Two-stage robust planning method for distribution network energy storage based on load forecasting |
| title_fullStr | Two-stage robust planning method for distribution network energy storage based on load forecasting |
| title_full_unstemmed | Two-stage robust planning method for distribution network energy storage based on load forecasting |
| title_short | Two-stage robust planning method for distribution network energy storage based on load forecasting |
| title_sort | two stage robust planning method for distribution network energy storage based on load forecasting |
| topic | energy storage uncertainty load forecasting BiLSTM comprehensive norm |
| url | https://www.frontiersin.org/articles/10.3389/fenrg.2024.1327857/full |
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