浙江电力

2024, v.43;No.341(09) 1-9

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含风光储岸电供电系统的分布鲁棒优化运行策略
An operating strategy for wind-solar-storage hybrid shore power supply systems based on distributionally robust optimization

黄梦旗,李勇汇,杨军,廖菲,彭勇,林毅
HUANG Mengqi,LI Yonghui,YANG Jun,LIAO Fei,PENG Yong,LIN Yi

摘要(Abstract):

可再生能源机组和电动船舶出力的不确定性及冲击特性会给岸电供电系统的安全稳定运行带来挑战。因此,提出了一种含风光储岸电供电系统的分布鲁棒优化运行策略。首先,不考虑风光出力不确定性以及冲击负荷的影响,以总费用最低为目标,建立确定性的含风光储岸电供电系统的运行模型。其次,以上述模型为基础,构建基于分布鲁棒优化的两阶段含风光储的岸电供电系统模型,采用组合范式来描述风光出力的不确定性,以减少因预测误差、出力波动性导致的弃风弃光。最后,使用C&CG(列与约束生成)算法来求解模型。利用某岸电供电系统数据,验证了所提策略可有效提升风光资源的消纳能力,降低运行成本。
The output of renewable energy units and electric vessels, characterized by its uncertainty and impact, pose challenges to the safe and stable operation of shore power supply systems. To address this, an operating strategy for wind-solar-storage hybrid shore power supply systems based on distributionally robust optimization(DRO) is proposed. First, a deterministic operating model of the shore power supply systems is established with the objective of minimizing total costs, without considering the uncertainty of wind-solar power output and impact loads. Building on this model, a two-stage wind-solar-storage hybrid shore power supply system model based on DRO is developed.This model uses a combinatorial approach to describe the uncertainty of wind-solar power output, aiming to reduce the wind and solar power curtailment caused by prediction errors and output fluctuations. Finally, the column-andconstraint generation(C&CG) method is employed to solve the model. Using data from a specific shore power supply system, the proposed strategy is validated to effectively enhance the consumption capacity of wind-solar resources and reduce operational costs.

关键词(KeyWords): 风光储;不确定性;运行策略;分布鲁棒;岸电供电系统
wind-solar-storage;uncertainty;operating strategy;distributionally robust;shore power supply system

Abstract:

Keywords:

基金项目(Foundation): 国家电网有限公司总部科技项目(5108-202218280A-2-390-XG)

作者(Author): 黄梦旗,李勇汇,杨军,廖菲,彭勇,林毅
HUANG Mengqi,LI Yonghui,YANG Jun,LIAO Fei,PENG Yong,LIN Yi

DOI: 10.19585/j.zjdl.202409001

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