| 引用本文: | 葛延峰,邱 雨,张云旭,等.计及多种灵活性资源的园区智能配电网灾时弹性提升策略[J].电力系统保护与控制,2024,52(17):139-149.[点击复制] |
| GE Yanfeng,QIU Yu,ZHANG Yunxu,et al.Disaster resilience enhancement strategy of an intelligent distribution network in parks considering a variety of flexibility resources[J].Power System Protection and Control,2024,52(17):139-149[点击复制] |
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| 摘要: |
| 随着极端自然灾害在园区智能配电网中频繁发生，大面积停电给园区智能配电网安全运行带来巨大挑战。针对上述问题，建立灾时故障抵御吸收双层优化模型，提出一种计及多种灵活性资源的园区智能配电网灾时弹性提升策略。首先，上层故障重构模型以最大化负荷恢复价值期望为目标，优化配电网故障重构方案，并将重构结果传递给下层。其次，下层弹性提升模型以最大化配电网弹性水平为目标，量化需求响应配置方案。最后，以营口市自贸区配电网和PG&E69节点配电网为例进行仿真分析。结果表明，所提策略系统负荷价值恢复期望提升81%，系统负荷损失降低61%，同时提高园区智能配电网整体弹性水平。 |
| 关键词: 园区智能配电网 弹性提升 应急电源车 网络重构 需求响应 |
| DOI：10.19783/j.cnki.pspc.240079 |
| 投稿时间：2024-01-17修订日期：2024-04-23 |
| 基金项目:国家电网公司科技项目资助“基于省级及以上园区智能配电网规划及自愈关键技术研究与应用”(2023YF-135) |
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| Disaster resilience enhancement strategy of an intelligent distribution network in parks considering a variety of flexibility resources |
| GE Yanfeng1,QIU Yu2,ZHANG Yunxu1,GUAN Yongbao1,JIANG Hua1,LI Jianmou1 |
| (1. Yingkou Power Supply Company, State Grid Liaoning Electric Power Co., Ltd., Yingkou 115002, China;
2. Northeast Electric Power University, Jilin 132012, China) |
| Abstract: |
| With the frequent occurrence of extreme natural disasters affecting the intelligent distribution network of a park, large-scale power outage brings great challenges to the safe operation of such a network. To solve the above problems, this paper establishes a two-layer optimization model of fault resistance and absorption during a disaster, and proposes a disaster resilience improvement strategy of an intelligent distribution network in parks. by taking into account a variety of flexible resources. First, the upper layer fault reconstruction model aims to maximize the expectation of load recovery value, optimizes the distribution network fault reconstruction scheme, and transmits the reconstruction results to the lower layer. Secondly, the lower layer elasticity enhancement model aims to maximize the distribution network elasticity level, and quantifies the demand response configuration scheme. Finally, the distribution network of Yingkou free trade zone and PG&E69-node distribution network are taken as examples for simulation analysis. The results show that the proposed system load value recovery expectation is increased by 81%, the system load loss is reduced by 61%, and the overall elasticity level of the intelligent distribution network in the park is improved. |
| Key words: intelligent distribution network of a park resilience enhancement emergency power supply vehicle network reconfiguration demand response |
