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多源协同的配电网多时段负荷恢复优化决策方法
作者:
作者单位:

北京交通大学电气工程学院北京市 100044

作者简介:

许寅(1986—),男,博士,教授,博士生导师,主要研究方向:配电系统故障恢复、电力系统韧性、电力系统电磁暂态仿真。E-mail:xuyin@bjtu.edu.cn
王颖(1992—),女,通信作者,博士研究生,主要研究方向:电力系统韧性、配电网恢复。E-mail:yingwang1992@ bjtu.edu.cn
和敬涵(1964—),女,博士,教授,博士生导师,主要研究方向:电力系统保护与控制、电力系统自愈恢复、主动配电网。E-mail:jhhe@bjtu.edu.cn

通讯作者:

基金项目:

国家自然科学基金资助项目(51807004)。


Optimal Decision-making Method for Multi-period Load Restoration in Distribution Network with Coordination of Multiple Sources
Author:
Affiliation:

School of Electrical Engineering, Beijing Jiaotong University, Beijing 100044, China

Fund Project:

This work is supported by National Natural Science Foundation of China (No. 51807004).

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    摘要:

    当极端灾害引起大停电事故时,可协同多种电源和储能快速恢复重要负荷,提升配电网韧性。首先探讨多源协同故障恢复对配电网韧性的提升作用,然后以最大化负荷的加权供电时间及最小化总网损为目标,以各时段负荷状态、电源输出功率及线路投运状态为优化变量,考虑有限能量约束、运行约束和拓扑约束等,将多源协同的配电网多时段负荷恢复问题建模并松弛为混合整数二阶锥规划模型,并利用商业优化软件求解,得到最优恢复策略。最后,通过改进IEEE 13节点和IEEE 123节点配电系统标准算例和仿真验证了所提方法的有效性和优越性。

    Abstract:

    When an extreme disaster causes a blackout, multiple power sources could be coordinated with energy storage to restore critical loads, which is able to enhance the resilience of distribution network. Firstly, the role of multiple coordinated sources for service restoration in enhancing the resilience of distribution network is introduced. Secondly, the multi-period load restoration problem is formulated and relaxed as a mixed integer second-order cone program, with the goal of maximizing the weighted power supply time of the load and minimizing the total power loss. The load state, output power and commissioning state of power lines in each period are taken as optimized variables, and finite energy constraints, operational constraints and topological constraints are considered. The proposed model could be efficiently solved by commercial solvers and then the optimal recovery strategy is obtained. Finally,based on standard cases of the modified IEEE 13-bus and IEEE 123-bus test distribution systems, the simulation results show that the proposed method is effective and superior.

    表 7 Table 7
    表 5 Table 5
    表 4 Table 4
    表 3 不同停电时间下的算例2结果Table 3 Results with different outage durations in case 2
    表 6 Table 6
    表 1 算例1恢复结果Table 1 Restoration results in case 1
    表 2 不同恢复策略结果对比Table 2 Result comparison for different restoration strategies
    图1 基于多源协同的目标孤岛形成Fig.1 Formation of target islands based on coordination of multiple sources
    图2 改进后IEEE 13节点系统示意图Fig.2 Schematic diagram of modified IEEE 13-bus system
    图3 算例1中各时段重要负荷恢复个数及恢复量Fig.3 Number and amount of restored critical loads during each period in case 1
    图4 算例1中各时段各节点电压Fig.4 Node voltages during each period in case 1
    图5 改进后IEEE 123节点系统示意图Fig.5 Schematic diagram of modified IEEE 123-bus system
    图 各电源各时段出力图Fig. Power output of the sources in each period
    图 算例2中各时段重要负荷恢复个数及恢复量Fig. Number and amount of restored critical loads in each period of Case 2
    图1 基于多源协同的目标孤岛形成Fig.1 Formation of target islands based on coordination of multiple sources
    图2 改进后IEEE 13节点系统示意图Fig.2 Schematic diagram of modified IEEE 13-bus system
    图3 算例1中各时段重要负荷恢复个数及恢复量Fig.3 Number and amount of restored critical loads during each period in case 1
    图4 算例1中各时段各节点电压Fig.4 Node voltages during each period in case 1
    图5 改进后IEEE 123节点系统示意图Fig.5 Schematic diagram of modified IEEE 123-bus system
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引用本文

许寅,王颖,和敬涵,等.多源协同的配电网多时段负荷恢复优化决策方法[J].电力系统自动化,2020,44(2):122-130. DOI:10.7500/AEPS20190106005.
XU Yin,WANG Ying,HE Jinghan,et al.Optimal Decision-making Method for Multi-period Load Restoration in Distribution Network with Coordination of Multiple Sources[J].Automation of Electric Power Systems,2020,44(2):122-130. DOI:10.7500/AEPS20190106005.

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历史
  • 收稿日期:2019-01-06
  • 最后修改日期:2019-07-04
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  • 在线发布日期: 2020-01-20
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