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1.中国电力科学研究院有限公司(南京),江苏省南京市 210003
2.国网浙江省电力有限公司,浙江省杭州市 310063
栾天(1998—),男,通信作者,硕士研究生,主要研究方向:电力市场。E-mail:982237201@qq.com
杨争林(1974—),男,博士,研究员级高级工程师,主要研究方向:电力系统运行优化和电力市场。E-mail:yangzhenglin@epri.sgcc.com.cn
李继红(1964—),男,硕士,教授级高级工程师,主要研究方向:电力系统自动化、电力市场运营。E-mail:lijihong@zj.sgcc.com.cn
收稿:2022-08-10,
修回:2023-01-05,
网络出版:2023-03-16,
纸质出版:2024-02-25
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栾天,杨争林,李继红等.适应电化学储能成本特性的电力市场机制设计[J].电力系统自动化,2024,48(4):101-110.
LUAN Tian,YANG Zhenglin,LI Jihong,et al.Design of Electricity Market Mechanism Adapting to Cost Characteristics of Electrochemical Energy Storage[J].Automation of Electric Power Systems,2024,48(4):101-110.
栾天,杨争林,李继红等.适应电化学储能成本特性的电力市场机制设计[J].电力系统自动化,2024,48(4):101-110. DOI: 10.7500/AEPS20220810005.
LUAN Tian,YANG Zhenglin,LI Jihong,et al.Design of Electricity Market Mechanism Adapting to Cost Characteristics of Electrochemical Energy Storage[J].Automation of Electric Power Systems,2024,48(4):101-110. DOI: 10.7500/AEPS20220810005.
高比例新能源接入场景下,如何提高电力系统灵活性成为焦点问题。电化学储能可以提高新型电力系统的灵活调节能力,但其技术特性不同于常规市场主体,需要设计相应的市场参与机制。因此,根据储能充放电深度、充放电倍率与其老化成本的关系,提出一种适应储能参与的价差投标模式。该投标模式下储能可以申报不同工作状态以及不同放电深度下的成本,从而释放储能的深度充放电能力。考虑储能调频容量与荷电状态的耦合关系,建立了储能日前电能市场和调频市场耦合的市场出清模型。算例结果表明
所提机制可以充分反映储能的市场价值,促进储能资源的优化配置,提升储能的市场收益。
In the scenario of high proportion of renewable energy access
how to improve the flexibility of the power system has become a focus. Electrochemical energy storage can improve the flexible regulation ability of new power systems
but its technical characteristics are different from conventional market players
so it is necessary to design the corresponding market participation mechanism. Therefore
according to the relationship between depths of charge and discharge
charging and discharging ratio of energy storage and aging cost
a price difference bidding mode suitable for energy storage participation is proposed. In this bidding mode
the energy storage can declare the cost under different operation states and different depths of discharge
so as to release the deep charging and discharging capacity of the energy storage. Considering the coupling relationship between energy storage frequency regulation capacity and state of charge
the market clearing model is established for the coupling of day-ahead energy market and frequency regulation market. The case results show that the proposed mechanism can fully reflect the market value of energy storage
promote the optimal allocation of energy storage resources
and improve the market revenue of energy storage.
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