Optimized utilization of distributed renewable energies for island microgrid clusters considering solar-wind correlation
•Combined Copula function is adopted to describe the correlation between variables more comprehensively.•An improved ADMM based on an adaptive step is proposed speed up the convergence speed and reduce the convergence oscillation.•A nested structure is adopted in the improved ADMM to overcome the no...
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| Published in | Electric power systems research Vol. 206; p. 107822 |
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| Main Authors | , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Amsterdam
Elsevier B.V
01.05.2022
Elsevier Science Ltd |
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| Abstract | •Combined Copula function is adopted to describe the correlation between variables more comprehensively.•An improved ADMM based on an adaptive step is proposed speed up the convergence speed and reduce the convergence oscillation.•A nested structure is adopted in the improved ADMM to overcome the non-convexity which standard ADMMs can hardly address.
Microgrid technology has found applications in various areas including institutional campuses, military bases, and remote islands. This paper proposes an optimization scheme for island microgrid clusters considering solar-wind correlation. Firstly, we propose a method for generating wind and solar scenarios based on non-parametric kernel density estimation and combined Copula function, to obtain a typical daily wind and solar output sequence, with involving the uncertainty and correlation of wind-solar power. Secondly, to reduce the computational pressure of the system and ensure the privacy of each microgrid, we present an improved Alternating Direction Method of Multipliers (ADMM) to speed up the solution process of the established optimization model in a distributed manner. Finally, comparative case studies are used to validate the effectiveness of the proposed schemes. |
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| AbstractList | •Combined Copula function is adopted to describe the correlation between variables more comprehensively.•An improved ADMM based on an adaptive step is proposed speed up the convergence speed and reduce the convergence oscillation.•A nested structure is adopted in the improved ADMM to overcome the non-convexity which standard ADMMs can hardly address.
Microgrid technology has found applications in various areas including institutional campuses, military bases, and remote islands. This paper proposes an optimization scheme for island microgrid clusters considering solar-wind correlation. Firstly, we propose a method for generating wind and solar scenarios based on non-parametric kernel density estimation and combined Copula function, to obtain a typical daily wind and solar output sequence, with involving the uncertainty and correlation of wind-solar power. Secondly, to reduce the computational pressure of the system and ensure the privacy of each microgrid, we present an improved Alternating Direction Method of Multipliers (ADMM) to speed up the solution process of the established optimization model in a distributed manner. Finally, comparative case studies are used to validate the effectiveness of the proposed schemes. Microgrid technology has found applications in various areas including institutional campuses, military bases, and remote islands. This paper proposes an optimization scheme for island microgrid clusters considering solar-wind correlation. Firstly, we propose a method for generating wind and solar scenarios based on non-parametric kernel density estimation and combined Copula function, to obtain a typical daily wind and solar output sequence, with involving the uncertainty and correlation of wind-solar power. Secondly, to reduce the computational pressure of the system and ensure the privacy of each microgrid, we present an improved Alternating Direction Method of Multipliers (ADMM) to speed up the solution process of the established optimization model in a distributed manner. Finally, comparative case studies are used to validate the effectiveness of the proposed schemes. |
| ArticleNumber | 107822 |
| Author | Li, Zhen-Long Yuan, Zhi-Peng Li, Peng Xia, Jing Tian, De |
| Author_xml | – sequence: 1 givenname: Zhen-Long surname: Li fullname: Li, Zhen-Long email: BJTU_LZL@bjtu.edu.cn organization: School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing 100044,China – sequence: 2 givenname: Peng surname: Li fullname: Li, Peng email: lipeng@bjtu.edu.cn organization: School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing 100044,China – sequence: 3 givenname: Zhi-Peng surname: Yuan fullname: Yuan, Zhi-Peng email: 20111059@bjtu.edu.cn organization: School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing 100044,China – sequence: 4 givenname: Jing surname: Xia fullname: Xia, Jing organization: State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing 102206, China – sequence: 5 givenname: De surname: Tian fullname: Tian, De organization: State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing 102206, China |
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| Snippet | •Combined Copula function is adopted to describe the correlation between variables more comprehensively.•An improved ADMM based on an adaptive step is proposed... Microgrid technology has found applications in various areas including institutional campuses, military bases, and remote islands. This paper proposes an... |
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| SubjectTerms | Alternative energy Clusters Correlation Distributed generation Estimating techniques Improved ADMM Island microgrid cluster Military bases Optimal utilization Optimization models Scenario generation Smart grid technology Solar energy Solar wind |
| Title | Optimized utilization of distributed renewable energies for island microgrid clusters considering solar-wind correlation |
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