Academic Journal
基于广义Benders 分解的分布式光伏接入容量规划方法.
العنوان: | 基于广义Benders 分解的分布式光伏接入容量规划方法. (Chinese) |
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Alternate Title: | An integration capacity planning method for distributed photovoltaic sources based on generalized Benders decomposition. (English) |
المؤلفون: | 陈卓, 郭寅远, 温彦军, 马留军, 王留涛, 吉小鹏 |
المصدر: | Zhejiang Electric Power; 6/25/2024, Vol. 43 Issue 6, p31-40, 10p |
Abstract (English): | In response to the challenges of large-scale integration of distributed photovoltaic (PV) sources into distribution networks, an integration capacity planning method for distributed photovoltaic sources based on generalized Benders decomposition (GBD) is proposed. The approach utilizes a data-driven sequential selection method to determine the optimal sequence of variables in the C-Vine Copula model. In combination with Latin hypercube sampling (LHS) and scenario evaluation indicators, typical load-resource correlation scenarios are constructed. Building upon these generated typical scenarios, the paper has established a photovoltaic source integration planning model based on the GBD. This model comprises a main problem for photovoltaic source planning and a sub-problem for distribution network operation, solved using linear programming and optimal power flow methods, respectively. Case studies are conducted on the grid framework of the IEEE 33-bus system. The results demonstrate that the proposed method for generating typical scenarios reduces resource and load errors by over 50% compared to traditional methods. Moreover, the computational complexity of the planning model is reduced by 11%, and the computation time is shortened by 9% compared to previous approaches. [ABSTRACT FROM AUTHOR] |
Abstract (Chinese): | 针对目前分布式光伏电源大规模接入配电网中带来的问题,提出了基于广义Benders分解的分布 式光伏接入容量规划方法。采用数据驱动顺序选择方法确定C-Vine Copula模型中变量的最优顺序,结合 拉丁超立方采样方法和场景评估指标,构建典型负荷-资源相关性场景。在生成的典型场景的基础上,建 立了基于广义Benders分解的光伏接入规划模型。该模型分为光伏规划主问题与配电网运行子问题,采用 线性规划与最优潮流的方法进行求解。在IEEE 33节点系统网架开展算例分析,结果表明,提出的典型场 景生成方法比传统方法的资源误差与负荷误差减少50%以上;规划模型求解所需的计算量减小为原来的 11%,计算时间缩短为原来的9%。 [ABSTRACT FROM AUTHOR] |
Copyright of Zhejiang Electric Power is the property of Zhejiang Electric Power Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
قاعدة البيانات: | Complementary Index |
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