Distributed Collaborative Optimization of New Energy Stations and Energy Storage Power Stations Taking Account of the Uncertainty of New Energy
New energy stations and energy storage power stations are working in closer cooperation in the context of a high proportion of new energy access with high uncertainty. Given the characteristics of distributed autonomous decision-making between new energy stations and energy storage power stations， a...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | zho |
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zhejiang electric power
2022-06-01
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| Series: | Zhejiang dianli |
| Subjects: | |
| Online Access: | https://zjdl.cbpt.cnki.net/WKE3/WebPublication/paperDigest.aspx?paperID=73c27f4c-07e1-41dd-9c9c-bf85b145d61d |
| _version_ | 1828757651303956480 |
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| author | WU Xiaogang WU Xinhua JI Qingfeng MA Mingyu LIGAO Junjie |
| author_facet | WU Xiaogang WU Xinhua JI Qingfeng MA Mingyu LIGAO Junjie |
| author_sort | WU Xiaogang |
| collection | DOAJ |
| description | New energy stations and energy storage power stations are working in closer cooperation in the context of a high proportion of new energy access with high uncertainty. Given the characteristics of distributed autonomous decision-making between new energy stations and energy storage power stations， a decomposition collaborative mechanism based on the alternating direction method of multipliers （ADMM） is used to establish a distributed collaborative optimization model of two operators considering the uncertainty of new energy. The optimal energy storage charging and discharging strategy under the distributed framework is obtained through few information iterations. The effectiveness and applicability of the proposed algorithm are verified by comparing the computational results of the proposed algorithm with those of the centralized algorithm using data from a small integrated energy system in North China. |
| first_indexed | 2024-12-11T00:30:02Z |
| format | Article |
| id | doaj.art-f39e18438b804536bef34c5f848fb39f |
| institution | Directory Open Access Journal |
| issn | 1007-1881 |
| language | zho |
| last_indexed | 2024-12-11T00:30:02Z |
| publishDate | 2022-06-01 |
| publisher | zhejiang electric power |
| record_format | Article |
| series | Zhejiang dianli |
| spelling | doaj.art-f39e18438b804536bef34c5f848fb39f2022-12-22T01:27:23Zzhozhejiang electric powerZhejiang dianli1007-18812022-06-01416546110.19585/j.zjdl.2022060081007-1881（2022）06-0054-08Distributed Collaborative Optimization of New Energy Stations and Energy Storage Power Stations Taking Account of the Uncertainty of New EnergyWU Xiaogang0WU Xinhua1JI Qingfeng2MA Mingyu3LIGAO Junjie4State Grid Zhejiang Lishui Power Supply Company, Lishui Zhejiang 323000, ChinaState Grid Zhejiang Lishui Power Supply Company, Lishui Zhejiang 323000, ChinaState Grid Zhejiang Lishui Power Supply Company, Lishui Zhejiang 323000, ChinaSchool of Electrical Engineering and Automation, Wuhan University, Wuhan 430072, ChinaSchool of Electrical Engineering and Automation, Wuhan University, Wuhan 430072, ChinaNew energy stations and energy storage power stations are working in closer cooperation in the context of a high proportion of new energy access with high uncertainty. Given the characteristics of distributed autonomous decision-making between new energy stations and energy storage power stations， a decomposition collaborative mechanism based on the alternating direction method of multipliers （ADMM） is used to establish a distributed collaborative optimization model of two operators considering the uncertainty of new energy. The optimal energy storage charging and discharging strategy under the distributed framework is obtained through few information iterations. The effectiveness and applicability of the proposed algorithm are verified by comparing the computational results of the proposed algorithm with those of the centralized algorithm using data from a small integrated energy system in North China.https://zjdl.cbpt.cnki.net/WKE3/WebPublication/paperDigest.aspx?paperID=73c27f4c-07e1-41dd-9c9c-bf85b145d61dnew energyenergy storagealternating direction method of multipliers （admm）distributed optimizationuncertainty |
| spellingShingle | WU Xiaogang WU Xinhua JI Qingfeng MA Mingyu LIGAO Junjie Distributed Collaborative Optimization of New Energy Stations and Energy Storage Power Stations Taking Account of the Uncertainty of New Energy Zhejiang dianli new energy energy storage alternating direction method of multipliers （admm） distributed optimization uncertainty |
| title | Distributed Collaborative Optimization of New Energy Stations and Energy Storage Power Stations Taking Account of the Uncertainty of New Energy |
| title_full | Distributed Collaborative Optimization of New Energy Stations and Energy Storage Power Stations Taking Account of the Uncertainty of New Energy |
| title_fullStr | Distributed Collaborative Optimization of New Energy Stations and Energy Storage Power Stations Taking Account of the Uncertainty of New Energy |
| title_full_unstemmed | Distributed Collaborative Optimization of New Energy Stations and Energy Storage Power Stations Taking Account of the Uncertainty of New Energy |
| title_short | Distributed Collaborative Optimization of New Energy Stations and Energy Storage Power Stations Taking Account of the Uncertainty of New Energy |
| title_sort | distributed collaborative optimization of new energy stations and energy storage power stations taking account of the uncertainty of new energy |
| topic | new energy energy storage alternating direction method of multipliers （admm） distributed optimization uncertainty |
| url | https://zjdl.cbpt.cnki.net/WKE3/WebPublication/paperDigest.aspx?paperID=73c27f4c-07e1-41dd-9c9c-bf85b145d61d |
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