面向恢复力提升的高比例分布式光伏接入配电网规划方法

缪雨函; 许寅; 王颖

doi:10.20097/j.cnki.issn1007-9904.2024.08.001

面向恢复力提升的高比例分布式光伏接入配电网规划方法

北京交通大学电气工程学院

基金项目:

国家自然基金项目(52107067)

国家电网公司科技项目(5100-202317011A-1-1-ZN)~~

详细信息

作者简介:
缪雨函(2001),女,硕士在读,主要研究方向为韧性电网;许寅(1986),男,博士,教授,博士生导师,主要研究方向为韧性电网、电力交通融合、电力系统高性能计算等

通讯作者:
王颖(1992),女,博士,高聘副教授,主要研究方向为韧性电网、配电网故障恢复、电力交通融合等。wangying@bjtu.edu.cn

中图分类号: TM615
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出版历程
- 收稿日期: 2023-12-21
- 刊出日期: 2024-08-24

Planning of Distribution System Integrated With High-penetration Photovoltaic for the Resilience Improvement

Beijing Jiaotong University

摘要

摘要: 对含高比例分布式光伏的配电网来说，合理规划配置可控的分布式发电机和储能等，有助于提升配电网在极端场景下恢复重要负荷的能力，同时也可提升正常运行场景下光伏消纳能力。针对高比例分布式光伏接入的配电网，提出基于蒙特卡罗模拟和K-means聚类的配电网极端场景生成和聚类方法，并进一步提出面向恢复力提升的配电网两阶段韧性规划方法。其中，第一阶段为规划阶段，以投资经济性最优、运行情况收益最高和恢复力最佳为目标，考虑分布式电源（distributed generator,DG）、储能的投资约束；第二阶段为运行阶段，基于正常和极端故障场景分别建立模型，考虑潮流约束、负荷恢复约束和辐射状约束等条件。通过算例验证了所提方法可以合理表征所配置资源在正常运行和极端场景下对配电网能力提升效果，均衡规划经济性和配电网能力提升效果，增强配电网应对极端事件的恢复力和韧性。
- 配电网 /
- 韧性 /
- 恢复力 /
- 分布式光伏 /
- 配电网规划
Abstract: For the distribution network with high-penetration of distributed photovoltaic,rational planning and allocation of controllable distributed generators and distributed energy storage will not only improve the ability of the distribution network to quickly recover important loads in extreme scenarios,but also contribute to the photovoltaic absorption capacity in normal operation scenarios.In response to the high proportion of distributed photovoltaic integration into the distribution network,this work presents a distribution network extreme scenario generation and clustering method using Monte Carlo simulation and Kmeans clustering,and further,proposes a two-stage planning method for distribution systems under a resilience-oriented perspective.For this,the first planning stage features a multi-objective problem seeking to satisfy optimal investment economy and improve the profitability and resilience under subsequent operation scenarios,considering the installation budget,quantity and capacity constraints of DG and energy storage. Next,the second operation stage establishes the normal operation scenario operation model and the extreme scenario recovery model respectively,considering radial topology constraints,and integrating operation and load recovery state constraints.An example demonstrates the promotion effect of allocating resources under normal operation and extreme scenarios,and balancing the planning economy on distribution network,and the effectiveness of the proposed approach in improving the resilience and toughness of distribution systems responding to extreme events.
- distribution network /
- resilience /
- distributed photovoltaic /
- planning of distribution network

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