基于效益耦合和时序关联特性的配电网规划项目优选模型
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李文龙(1988—),男,高级工程师,主要从事配电网规划方面的研究;E-mail:jainwek56@163.com

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TM73

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国家电网公司科技攻关项目(GW3830092021X)


Optimization model of distribution network planning project based on benefit coupling and time series correlation characteristics
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    摘要:

    针对有限投资预算下多个高渗透新能源的配电网项目的经济组合优选问题,考虑不同供电区域可靠性边际效益的差异和项目之间的复杂相关性,提出考虑效益耦合和时序关联特性的配电网规划项目优选模型。考虑不同供电区域可靠性边际效益的差异和项目之间的复杂相关性,提出考虑效益耦合和时序关联特性的配电网规划项目优选模型。首先,建立项目效益耦合方程,提取项目效益耦合特性;其次,根据时序关联规则定义,确定项目时序关联特性,定义配电网规划项目关系,并设计配电网规划项目优化约束。最后以项目最大投资效益为目标建立优选模型,对现有两种方法进行对比验证。结果表明:本文模型优选的配电网规划项目成本低、效益高,可为有限预算下配电网多区域项目优选提供依据。

    Abstract:

    Under the limited investment budget, the best project combination problem is investigated for multiple distribution network projects with a high penetration new energy to achieve the highest reliability and economy. Considering the difference of marginal benefit of reliability in different power supply areas and the complex correlation between projects, an optimization model is proposed for the distribution network planning project. Firstly, the characteristics of benefit coupling and time series correlation are taken into account to establish the project benefit coupling equation. On this basis, the project benefit coupling characteristics are extracted. Secondly, the association characteristics of project time series are determined according to the definition of time series association rules. The relationship between distribution network planning projects are defined, and the constraints of distribution network planning projects are designed. Then, the optimization model is established to maximize the project investment benefit. In the end, two existing methods are compared and verified. It is shown that the proposed model is low in cost and high in benefit. It also provides a basis for the optimization of distribution network multi-area projects under limited budget.

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李文龙,张华东,于宝鑫.基于效益耦合和时序关联特性的配电网规划项目优选模型[J].电力科学与技术学报,2022,37(6):55-61.
LI Wenlong, ZHANG Huadong, YU Baoxin. Optimization model of distribution network planning project based on benefit coupling and time series correlation characteristics[J]. Journal of Electric Power Science and Technology,2022,37(6):55-61.

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  • 在线发布日期: 2023-01-16
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