| 樊安洁,高正平,张文嘉,黄河,高松.不确定源荷下计及台风影响的配电网韧性扩展规划方法[J].电力需求侧管理,2026,28(2):8-14 |
| 不确定源荷下计及台风影响的配电网韧性扩展规划方法 |
| Resilient-oriented expansion planning method for distribution networks considering typhoon impacts under uncertainties |
| 投稿时间：2025-12-02 修订日期：2026-01-29 |
| DOI：10.3969/j.issn.1009-1831.2026.02.002 |
| 中文关键词: 配电网规划 韧性提升 源荷不确定性 混合整数线性规划 |
| 英文关键词: distribution network planning resilience enhancement source and load uncertainty mixed-integer linear programming |
| 基金项目:国网江苏省电力有限公司科技项目(J2023165) |
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| 中文摘要: |
| 针对台风这一极端自然灾害频发对配电网可靠性和稳定性带来的挑战，提出了一种不确定源荷下计及台风影响的配电网韧性扩展规划方法。首先，计及配电网在台风事件中的脆弱性，构建电力线路故障场景集。其次，针对常规场景，采用场景聚类方法生成涵盖源-荷波动性的典型场景集。随后，以最小化规划总成本和规划期内台风造成的停电损失为目标，综合考虑投资预算、电力潮流、节点失负荷及运行变量上下限等约束条件，基于随机优化方法，建立不确定源荷下计及韧性需求的配电网扩展规划模型。所建立模型为混合整数线性规划模型，可通过商业求解器有效求解。仿真结果表明，所提方法能够在规划期内显著提升配电系统的负荷供应能力和抗灾能力，为韧性增强型配电网的规划提供技术支持。 |
| 英文摘要: |
| To address the challenges posed by the frequent occurrence of typhoons, which threaten the reliability and stability of distribution networks, a resilient-oriented expansion planning method for distribution networks considering typhoon impacts under uncertainties is proposed. First, considering the vulnerability of the distribution network during typhoon events, a fault scenario set for power lines is constructed. Second, for regular scenarios, a scenario clustering method is employed to generate typical scenarios that capture the fluctuations in power generation and load demand. Subsequently, with the objective of minimizing total planning costs and outage losses caused by typhoons during the planning period, constraints such as investment budget, power flow, load shedding at nodes, and operational variable limits are integrated into the model. Based on stochastic optimization, a distribution network expansion planning model is developed, incorporating resilience requirements under uncertainty. The model is formulated as a mixed-integer linear programming (MILP) problem, which can be effectively solved using commercial solvers. Simulation results demonstrate that the method significantly enhances the load supply capacity and disaster resistance of the distribution system during the planning period, providing technical support for planning resilient distribution networks. |
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