Distributed Tracking-ADMM Approach for Chance-Constrained Energy Management with Stochastic Wind Power
This paper proposes a distributed strategy to the chance-constrained energy management for smart grid with penetration of stochastic wind power. This energy management model is constructed including chance constraints of spinning reserves for the sake of guaranteeing the maximum utilization of wind...
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| Format: | Article |
| Language: | English |
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China electric power research institute
2025-01-01
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| Series: | CSEE Journal of Power and Energy Systems |
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| Online Access: | https://ieeexplore.ieee.org/document/9606955/ |
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| author | Wenjuan Li Yungang Liu Huijun Liang Yongchao Man Fengzhong Li |
| author_facet | Wenjuan Li Yungang Liu Huijun Liang Yongchao Man Fengzhong Li |
| author_sort | Wenjuan Li |
| collection | DOAJ |
| description | This paper proposes a distributed strategy to the chance-constrained energy management for smart grid with penetration of stochastic wind power. This energy management model is constructed including chance constraints of spinning reserves for the sake of guaranteeing the maximum utilization of wind power on the basis of reliability. With the available wind power characterized by Weibull distribution, the chance constraints can be converted into deterministic ones by the derived analytical form of inverse cumulative distribution function. Although the original problem is transformed into a typical convex optimization problem, the tight coupling of constraints presents challenges to the design of distributed strategy. Therefore, we formulate the problem into a compact form with each generator unit depending on individual decision variables, instead of the common form with a decision vector being the collection of all local decision variables. Then, by developing a new initialization method and an adaptive weight matrix selection method, a distributed strategy based on tracking Alternating Direction Method of Multipliers (ADMM) is proposed to solve the model. The simulation results indicate that the proposed distributed strategy achieves comparable performance to the corresponding centralized scenario, and better performance than distributed consensus-based ADMM in the related literature. Moreover, the validity of the proposed distributed strategy is confirmed in day-ahead chance-constrained energy management with stochastic wind power. |
| format | Article |
| id | doaj-art-30403b01b0d64353a2e400939aa76952 |
| institution | OA Journals |
| issn | 2096-0042 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | China electric power research institute |
| record_format | Article |
| series | CSEE Journal of Power and Energy Systems |
| spelling | doaj-art-30403b01b0d64353a2e400939aa769522025-08-20T02:34:15ZengChina electric power research instituteCSEE Journal of Power and Energy Systems2096-00422025-01-011131154116410.17775/CSEEJPES.2021.005409606955Distributed Tracking-ADMM Approach for Chance-Constrained Energy Management with Stochastic Wind PowerWenjuan Li0Yungang Liu1Huijun Liang2Yongchao Man3Fengzhong Li4School of Control Science and Engineering, Shandong University,Jinan,China,250061School of Control Science and Engineering, Shandong University,Jinan,China,250061School of Information Engineering, Hubei Minzu University,Enshi,China,445000School of Control Science and Engineering, Shandong University,Jinan,China,250061School of Control Science and Engineering, Shandong University,Jinan,China,250061This paper proposes a distributed strategy to the chance-constrained energy management for smart grid with penetration of stochastic wind power. This energy management model is constructed including chance constraints of spinning reserves for the sake of guaranteeing the maximum utilization of wind power on the basis of reliability. With the available wind power characterized by Weibull distribution, the chance constraints can be converted into deterministic ones by the derived analytical form of inverse cumulative distribution function. Although the original problem is transformed into a typical convex optimization problem, the tight coupling of constraints presents challenges to the design of distributed strategy. Therefore, we formulate the problem into a compact form with each generator unit depending on individual decision variables, instead of the common form with a decision vector being the collection of all local decision variables. Then, by developing a new initialization method and an adaptive weight matrix selection method, a distributed strategy based on tracking Alternating Direction Method of Multipliers (ADMM) is proposed to solve the model. The simulation results indicate that the proposed distributed strategy achieves comparable performance to the corresponding centralized scenario, and better performance than distributed consensus-based ADMM in the related literature. Moreover, the validity of the proposed distributed strategy is confirmed in day-ahead chance-constrained energy management with stochastic wind power.https://ieeexplore.ieee.org/document/9606955/ADMMchance-constrained energy managementdistributed strategysmart gridstochastic wind power |
| spellingShingle | Wenjuan Li Yungang Liu Huijun Liang Yongchao Man Fengzhong Li Distributed Tracking-ADMM Approach for Chance-Constrained Energy Management with Stochastic Wind Power CSEE Journal of Power and Energy Systems ADMM chance-constrained energy management distributed strategy smart grid stochastic wind power |
| title | Distributed Tracking-ADMM Approach for Chance-Constrained Energy Management with Stochastic Wind Power |
| title_full | Distributed Tracking-ADMM Approach for Chance-Constrained Energy Management with Stochastic Wind Power |
| title_fullStr | Distributed Tracking-ADMM Approach for Chance-Constrained Energy Management with Stochastic Wind Power |
| title_full_unstemmed | Distributed Tracking-ADMM Approach for Chance-Constrained Energy Management with Stochastic Wind Power |
| title_short | Distributed Tracking-ADMM Approach for Chance-Constrained Energy Management with Stochastic Wind Power |
| title_sort | distributed tracking admm approach for chance constrained energy management with stochastic wind power |
| topic | ADMM chance-constrained energy management distributed strategy smart grid stochastic wind power |
| url | https://ieeexplore.ieee.org/document/9606955/ |
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