中国电力 ›› 2025, Vol. 58 ›› Issue (6): 56-66, 155.DOI: 10.11930/j.issn.1004-9649.202411001
• 基于数据驱动的电力系统安全稳定分析与控制 • 上一篇 下一篇
翟哲(), 陈梓煜(
), 刘起兴(
), 梁彦杰(
), 李智勇(
)
收稿日期:
2024-11-01
发布日期:
2025-06-30
出版日期:
2025-06-28
作者简介:
基金资助:
ZHAI Zhe(), CHEN Ziyu(
), LIU Qixing(
), LIANG Yanjie(
), LI Zhiyong(
)
Received:
2024-11-01
Online:
2025-06-30
Published:
2025-06-28
Supported by:
摘要:
新型电力系统背景下,分布式资源大量接入,分布式资源聚合商(distributed energy resource aggregator,DERA)成为电力市场的新兴主体。然而市场交易存在出清电价、风光电源出力等多种不确定性因素,有必要提出计及风险管理的DERA电力市场交易模型,为DERA提供兼顾风险与收益的交易策略。首先,分析了市场组织架构。其次,利用条件风险价值量化不确定性因素带来的风险损失,提出考虑出清电价不确定性的竞价模型与考虑风光电源出力不确定性的调度决策模型,形成DERA参与能量-备用辅助服务市场的交易策略。然后,构建了能量-备用辅助服务市场联合出清模型。最后,以某地区实际能量与备用辅助服务市场的运营数据为例,将所提出的DERA电力市场交易模型应用于该市场的投标与出清。结果表明:所提方法能够指导DERA进行合理的报量报价,提高参与市场的收益。
翟哲, 陈梓煜, 刘起兴, 梁彦杰, 李智勇. 计及风险管理的分布式资源聚合商电力市场交易模型[J]. 中国电力, 2025, 58(6): 56-66, 155.
ZHAI Zhe, CHEN Ziyu, LIU Qixing, LIANG Yanjie, LI Zhiyong. An Electricity Market Trading Model for Distributed Resource Aggregators Considering Risk Management[J]. Electric Power, 2025, 58(6): 56-66, 155.
0.2 | 0.6 | 0.3 | 0.7 |
表 1 DERA风险规避系数
Table 1 Risk aversion coefficient for each DERA
0.2 | 0.6 | 0.3 | 0.7 |
分布式资 源聚合商 | 光伏装机 容量/MW | 可削减负 荷/MW | 最大可削 减比例/% | 储能装机 容量/MW | ||||
D1 | 2 | 9 | 20 | 1.0 | ||||
D2 | 5 | 15 | 20 | 1.0 | ||||
D3 | 3 | 6 | 20 | 0.5 | ||||
D4 | 3 | 6 | 20 | 0.5 |
表 2 DERA分布式资源聚合情况
Table 2 Aggregation of distributed resources for each DERA
分布式资 源聚合商 | 光伏装机 容量/MW | 可削减负 荷/MW | 最大可削 减比例/% | 储能装机 容量/MW | ||||
D1 | 2 | 9 | 20 | 1.0 | ||||
D2 | 5 | 15 | 20 | 1.0 | ||||
D3 | 3 | 6 | 20 | 0.5 | ||||
D4 | 3 | 6 | 20 | 0.5 |
参数 | 数值 | 参数 | 数值 | |||
120.00 | 0.86 | |||||
180.00 | 0.30 | |||||
200.00 | 0 | |||||
0.99 | 0.30 | |||||
0.84 | 0 |
表 3 基本参数
Table 3 Basic parameter
参数 | 数值 | 参数 | 数值 | |||
120.00 | 0.86 | |||||
180.00 | 0.30 | |||||
200.00 | 0 | |||||
0.99 | 0.30 | |||||
0.84 | 0 |
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