考虑源网荷储协同优化的配电网韧性提升策略

doi:10.12204/j.issn.1000-7229.2023.04.008

电力建设 ›› 2023, Vol. 44 ›› Issue (4): 63-73.doi: 10.12204/j.issn.1000-7229.2023.04.008

考虑源网荷储协同优化的配电网韧性提升策略

范馨予¹(), 黄媛¹(), 吴疆²(), 孙增杰³(), 宁静波¹()

1.四川大学电气工程学院,成都市 610065
2.国网湖北省电力有限公司孝感供电公司, 湖北省孝感市 432000
3.国网河北省电力有限公司,石家庄市 050021

收稿日期:2022-10-15 出版日期:2023-04-01 发布日期:2023-03-30
通讯作者: 黄媛 E-mail:yuanhuang@scu.edu.cn
作者简介:范馨予(1999),女,硕士研究生,研究方向为韧性配电网,E-mail:22266244@qq.com;
吴疆(1996),男,硕士,工程师,研究方向为配电网运行与维护,E-mail:wujiangwoo@163.com;
孙增杰(1972),男,本科, 高级工程师,研究方向为电网调度自动化与科技管理,E-mail:807797749@qq.com;
宁静波(1999)男,硕士研究生,研究方向为配电网运行与调度,E-mail:1722090119@qq.com。
基金资助:
四川省科技计划项目(2021YFSY0053)

Resilience Promotion Strategy for Distribution Network Considering Source-Network-Load-Storage Coordination

FAN Xinyu¹(), HUANG Yuan¹(), WU Jiang²(), SUN Zengjie³(), NING Jingbo¹()

1. School of Electrical Engineering, Sichuan University, Chengdu 610065, China
2. Xiaogan Electric Power Supply Company of State Grid Hubei Electric Power Company Limited, Xiaogan 432000, Hubei Province, China
3. State Grid Hebei Electric Power Co., Ltd., Shijiazhuang 050021, China

Received:2022-10-15 Online:2023-04-01 Published:2023-03-30
Contact: HUANG Yuan E-mail:yuanhuang@scu.edu.cn
Supported by:
Sichuan Science and Technology Program(2021YFSY0053)

摘要/Abstract

摘要：

随着分布式电源的规模化接入,针对极端灾害引起的大规模停电事故难以采用传统的配电网故障恢复策略。首先,提出了极端灾害下考虑源网荷储协调优化提升配电网韧性的策略框架。其次,针对分布式能源出力的不可控性和时变性,建立了光储和风储系统模型(optical storage and wind storage system,OWS)。同时,考虑到负荷的价格需求弹性,建立了极端灾害下的负荷需求响应(load demand response,LDR)模型。再次,以负荷恢复的总价值最大为目标,考虑LDR补偿、故障抢修与网络重构过程中的网损成本,建立了考虑源网荷储协同优化的配电网韧性提升模型。最后,在改进的PG&E 69节点配电网系统算例中验证了所提策略的有效性,结果表明利用多能互补的特性进行源网荷储的协同优化有利于提高配电网的故障恢复能力。

关键词: 配电网, 韧性, 需求响应(DR), 光储和风储系统, 网络重构

Abstract:

With the large-scale access of distributed power generation, the traditional fault-recovery strategy for distribution network is difficult to be applied to large-scale blackouts caused by extreme disasters. Firstly, this paper proposes a strategic framework to optimize and improve the resilience of distribution network considering the coordination of source, network, load and storage under extreme disasters. Secondly, aiming at the uncontrollability and time variability of distributed energy output, the PV-storage and wind-storage (PWS) system models are established. At the same time, considering the relationship between electricity price demand response (DR) and load demand, a load demand response (LDR) model under extreme disasters is established. Thirdly, aiming at maximizing the total value of load recovery, considering the cost of network loss in the process of LDR compensation, fault repair and network reconstruction, a resilience promotion model for distribution network considering the source-network-load-storage collaborative optimization is established. Finally, the effectiveness of the proposed method is verified in an improved PG &E 69-node distribution network system. The results show that the source-network-load-storage cooperative optimization according to the characteristics of multi-energy complementation is beneficial to improve the fault recovery ability of the distribution network.

Key words: distribution network, resilience, demand response (DR), PV-storage and wind-storage (PWS), network reconstruction

中图分类号:

TM712

范馨予, 黄媛, 吴疆, 孙增杰, 宁静波. 考虑源网荷储协同优化的配电网韧性提升策略[J]. 电力建设, 2023, 44(4): 63-73.

FAN Xinyu, HUANG Yuan, WU Jiang, SUN Zengjie, NING Jingbo. Resilience Promotion Strategy for Distribution Network Considering Source-Network-Load-Storage Coordination[J]. ELECTRIC POWER CONSTRUCTION, 2023, 44(4): 63-73.

图/表 13

图1 考虑源网荷储协同的配电网韧性提升策略流程

Fig.1 Flowchart of the resilience enhancement strategy distribution network considering source-network-load-storage coordination

图2 极端灾害发生前后电力系统响应示意图

Fig.2 Diagram of power system response before and after extreme disasters

表1 基于价格的需求响应水平

Table 1 Price based demand-response level

图3 PG&E 69节点配电网系统

Fig.3 PG&E 69-node distribution network system

表2 节点负荷等级与权重

Table 2 Load characteristic of each node

表3 光储和风储系统参数

Table 3 Parameters of PWS

图4 PV、WT出力和负荷功率标幺曲线

Fig.4 Curve of PV、WT output and load power

图5 用户从电网购电的价格曲线

Fig.5 Price curve of power purchase from grid

图6 故障各时段网络拓扑图

Fig.6 The topology in each fault period

图7 故障各时段负荷需求量

Fig.7 Load demand in each period

图8 ESS的充放电功率与荷电状态

Fig.8 Charge/discharge power and SOC of ESS

表4 故障恢复方案比较

Table 4 Comparison of different resilience promotion strategies

图9 故障各时段节点电压标幺值

Fig.9 Per unit value of node voltages in each fault period

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考虑源网荷储协同优化的配电网韧性提升策略

Resilience Promotion Strategy for Distribution Network Considering Source-Network-Load-Storage Coordination

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