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极端灾害下基于光储优化配置的配电网供电恢复方法
作者:
作者单位:

山东理工大学电气与电子工程学院,山东省淄博市 255000

摘要:

近年来,由极端灾害引发的配电网上级电源停电事故屡次发生。配电网单纯在运行层面进行供电恢复策略的制定时,常会出现电源资源不足的问题,难以保证重要负荷的持续、可靠供电。针对上述问题,提出了基于光储优化配置的配电网供电恢复方法,以达到资源高效利用与负荷可靠保供的最优均衡。首先,采用Beta分布模型拟合光照强度分布,建立了计及时序特性的光伏出力模型。其次,构建了配电网光储选址定容和极端灾害下动态孤岛划分的双层供电恢复优化模型,其中,上层模型考虑了投资与运维成本、线路损耗和负荷失电成本,下层模型则以恢复的负荷量最大为目标函数,通过深度优先搜索算法实现孤岛初步分区,利用功率裕度和能量裕度指标对孤岛进行动态划分,进而实现极端灾害下负荷供电的最大恢复。最后,通过算例对比不同策略的恢复效果和成本,验证了所提方法的可行性与优越性。

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基金项目:

国家自然科学基金资助项目(52377110);山东省自然科学基金资助项目(ZR2023ME034)。

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作者简介:


Power Restoration Method for Distribution Network Based on Optimal Configuration of Photovoltaic and Energy Storage in Extreme Disaster Scenarios
Author:
Affiliation:

College of Electrical and Electronic Engineering, Shandong University of Technology, Zibo 255000, China

Abstract:

In recent years, outages of higher power sources in the distribution network triggered by extreme disasters have occurred repeatedly. When formulating power restoration strategies solely at the operation level, the distribution network often faces the problem of insufficient power resources, making it difficult to ensure the continuous and reliable power supply for important loads. To address the above problems, a power restoration method for the distribution network based on the optimal configuration of the photovoltaic and energy storage is proposed to achieve the optimal balance between the efficient resource utilization and reliable load preservation. Firstly, the Beta distribution model is used to fit the light intensity distribution, and a photovoltaic output model considering temporal characteristics is established. Secondly, a bi-level power restoration optimization model is constructed for the distribution network, incorporating both the siting and sizing of the photovoltaic and energy storage, and the dynamic islanding division in extreme disaster scenarios. Among them, the upper-level model considers investment and operation costs, line loss costs, and load loss costs, while the lower-level model aims to maximize the restored load as the objective function. Through the depth first search algorithm, the preliminary island partitioning is achieved, and the power margin and energy margin indicators are used to implement dynamic islanding division, thereby achieving maximum load restoration in extreme disaster scenarios. Finally, the feasibility and superiority of the proposed method are verified by comparing the restoration effects and costs of different strategies through numerical cases.

Keywords:

Foundation:
This work is supported by National Natural Science Foundation of China (No. 52377110) and Shandong Provincial Natural Science Foundation of China (No. ZR2023ME034).
引用本文
[1]陶文嘉,冯亮,彭克,等.极端灾害下基于光储优化配置的配电网供电恢复方法[J/OL].电力系统自动化,http://doi. org/10.7500/AEPS20231229002.
TAO Wenjia, FENG Liang, PENG Ke, et al. Power Restoration Method for Distribution Network Based on Optimal Configuration of Photovoltaic and Energy Storage in Extreme Disaster Scenarios[J/OL]. Automation of Electric Power Systems, http://doi. org/10.7500/AEPS20231229002.
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  • 收稿日期:2023-12-29
  • 最后修改日期:2024-06-25
  • 录用日期:2024-04-29
  • 在线发布日期: 2024-07-04
  • 出版日期: