合肥工业大学校徽

合肥工业大学学报自科版

合肥工业大学学报(自然科学版)

JOURNAL OF HEFEI UNIVERSITY OF TECHNOLOGY (NATURAL SCIENCE)

主管：中华人民共和国教育部

主办：合肥工业大学

ISSN 1003-5060, CN 34-1083/N

考虑响应违约风险的聚合商双重市场投标策略

Dual market bidding strategy of aggregator considering response default risk

期刊信息

合肥工业大学（自然科学版），2024年7月，第47卷第7期：906-911

DOI: 10.3969/j.issn.1003-5060.2024.07.007

作者信息

张晶晶，李淑杨

（合肥工业大学新能源利用与节能安徽省重点实验室，安徽合肥 230009）

摘要和关键词

摘要: 负荷聚合商(load aggregator, LA)集成需求侧资源参与双重市场(能量市场和备用市场)投标, 需要根据市场运营规则对具有不同行为特性的需求侧资源优化组合。文章考虑双重市场对响应资源的技术要求, 从负荷削减量和响应时间2个方面体现需求侧资源的不确定性, 引入条件风险价值(conditional value at risk, CVaR)理论, 考虑备用市场响应超时的违约风险, 制定其在双重市场的资源集成优化投标策略, 以响应电量不足期望评估聚合商参与双重市场的响应可靠性。算例分析不同风险偏好系数下聚合商利润与风险的动态关系, 优化需求侧资源的容量配置, 为聚合商双重市场的投标和风险度量提供参考。

关键词: 负荷聚合商（LA）；双重市场；不确定性；风险研究；投标策略

Authors

ZHANG Jingjing, LI Shuyang

(Anhui Province Key Laboratory of New Energy Utilization and Energy Saving, Hefei University of Technology, Hefei 230009, China)

Abstract and Keywords

Abstract: Load aggregator(LA) integrates demand-side resources to participate in bidding in dual markets(energy market and reserve market), and needs to optimize the combination of demand-side resources with different behavior characteristics according to market operation rules. Considering the technical requirements for response resources in dual market, this paper reveals the uncertainty of demand-side resources from two aspects of load reduction and response time, introduces conditional value at risk(CVaR) theory, considers the default risk of response timeout in reserve market, formulates its bidding strategy of resource integration optimization in dual market, and evaluates LA's response reliability with the expectation of response power shortage. An example is given to analyze the dynamic relationship between profit and risk of aggregators under different risk preferences, and optimize the capacity allocation of demand-side resources, so as to provide reference for bidding and risk measurement of aggregators in dual market.

Keywords: load aggregator(LA); dual market; uncertainty; risk research; bidding strategy

基金信息

国家重点研发计划资助项目（2016YFB0901100）；高等学校学科创新引智计划资助项目（BP0719039）

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