适应电力现货市场运营与风险防控的虚拟投标研究综述OA
Review on Virtual Bidding for Electricity Spot Market Operation and Risk Prevention and Control
在"新电改"与双碳目标的双重驱动下,中国电力市场建设持续深化,其运营效率与风险防控能力仍需进一步提升.虚拟投标作为一种内嵌于电力现货市场的金融机制,可通过套利行为有效收敛日前-实时市场价格、提升竞争水平,并为市场主体提供灵活的风险管理手段.文中首先综述了虚拟投标的市场模型及策略优化方法,进而剖析其对市场运行的影响机理,包括促进价格发现、抑制市场力及与其他市场的关联作用.在此基础上,归纳了适应虚拟投标的市场设计与监管机制.结合中国电力市场的发展阶段与演进趋势,研判了虚拟投标的引入适应性、潜在效益与主要挑战,最终提出分阶段、有管控的可行实施路径,以期为中国电力市场的高效运营与风险防控提供参考.
Driven by the new round of electricity market reform and the goals of"carbon emission peak and carbon neutrality",the construction of electricity markets in China continues to deepen,with further improvements required in operational efficiency and risk prevention capabilities.As a financial mechanism embedded in the electricity spot market,virtual bidding can effectively converge day-ahead and real-time market prices through arbitrage behaviors,enhance market competitiveness,and provide market participants with flexible risk management instruments.This paper first reviews the market models and strategy optimization methods of virtual bidding,and then analyzes its impact mechanisms on market operation,including promoting price discovery,mitigating market power,and its interactions with other markets.On this basis,the market design and supervision mechanisms for virtual bidding are summarized.In consideration on the development stage and evolutionary trends of electricity markets in China,the adaptability,potential benefits,and major challenges of introducing virtual bidding are assessed.Finally,a feasible staged and well-regulated implementation pathway is proposed,aiming to provide a reference for the efficient operation and risk prevention of electricity markets in China.
陈皓勇;曾灏东;蔡伟钧;肖东亮
华南理工大学电力学院,广东省 广州市 510641华南理工大学电力学院,广东省 广州市 510641华南理工大学电力学院,广东省 广州市 510641广东工业大学自动化学院,广东省 广州市 510006
虚拟投标电力市场现货市场电力金融产品交易策略风险管理市场机制
virtual biddingelectricity marketspot marketelectricity financial producttrading strategyrisk managementmarket mechanism
《电力系统自动化》 2026 (10)
16-33,18
国家自然科学基金资助项目(52207104). This work is supported by National Natural Science Foundation of China(No.52207104).
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