浙江电力

2024, v.43;No.333(01) 64-71

[打印本页] [关闭]
本期目录(Current Issue) | 过刊浏览(Archive) | 高级检索(Advanced Search)

冰灾下考虑多重不确定性的负荷聚合商市场力评估方法
A market power assessment method for load aggregators considering multiple uncertainties under ice disasters

朱永清,林佳宁,李庆生,李震,张彦,徐涛,张兆丰
ZHU Yongqing,LIN Jianing,LI Qingsheng,LI Zhen,ZHANG Yan,XU Tao,ZHANG Zhaofeng

摘要(Abstract):

在极端场景下,负荷聚合商可能会控制市场以攫取超额利润。为此,以冰灾为例,提出一种考虑多重不确定性的负荷聚合商市场力评估方法。首先,利用UGF(通用生成函数)来描述冰灾下架空线路、风电机组随机故障的不确定性;其次,通过聚合各类不确定性的标准概率函数,提出市场力评估算子以建立负荷聚合商节点市场力评估模型;最后,基于出清模型的结果,构建时空市场力指标体系以辨识具有高市场力水平的关键负荷聚合商以及相应的关键时段。算例结果表明,该方法有效量化了冰灾下负荷聚合商的市场力水平,处于负荷水平较高区域的负荷聚合商在覆冰严重的时段更容易行使市场力。
In extreme scenarios, load aggregators may control the market to rake in excess profits. To address this, this paper proposes a market power assessment method for load aggregators considering multiple uncertainties under ice disasters. Firstly, the universal generating function(UGF) is used to describe uncertainties of faults on overhead lines and wind turbines under ice disasters. Secondly, by aggregating standard probabilistic functions of various uncertainties, the paper proposes a market power assessment operator to construct a market power assessment model for load aggregator nodes. Finally, based on the results of the clearance model, a spatiotemporal market power index system is constructed to identify key load aggregators with high market power levels and the corresponding critical periods. Case study results demonstrate that this method effectively quantifies the market power levels of load aggregators under ice disasters, and that load aggregators in regions with higher loads are more likely to exercise market power during severe icing periods.

关键词(KeyWords): 负荷聚合商;市场力评估;多重不确定性;通用生成函数法;极端天气
load aggregator;market power assessment;multiple uncertainties;UGF;extreme weather

Abstract:

Keywords:

基金项目(Foundation): 贵州省科技计划项目(黔科合支撑[2021]一般409);; 贵州电网有限责任公司科技项目(GZKJXM20210386)

作者(Author): 朱永清,林佳宁,李庆生,李震,张彦,徐涛,张兆丰
ZHU Yongqing,LIN Jianing,LI Qingsheng,LI Zhen,ZHANG Yan,XU Tao,ZHANG Zhaofeng

DOI: 10.19585/j.zjdl.202401008

参考文献(References):

扩展功能
本文信息
服务与反馈
本文关键词相关文章
本文作者相关文章
中国知网
分享