1.大连理工大学电气工程学院,辽宁省大连市 116024
2.国网辽宁省电力有限公司经济技术研究院,辽宁省沈阳市 110015
衣锦(2001—),男,博士研究生,主要研究方向:综合能源系统规划。E-mail:yijin@mail.dlut.edu.cn
张娜(1986—),女,博士,高级工程师,主要研究方向:能源电力系统规划。E-mail:zn_jyy@126.com
迟长煜(2000—),男,硕士,主要研究方向:电力系统仿真与规划。E-mail:475012701@qq.com
吕泉(1980—),男,通信作者,博士,副教授,主要研究方向:能源电力系统分析与规划、电力市场。E-mail:lvquan@dlut.edu.cn
收稿:2025-10-04,
修回:2026-04-01,
网络首发:2026-07-24,
纸质出版:2026-10-25
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衣锦,张娜,迟长煜等.面向弃电跨调度周期消纳的电-热储能协同调度模型[J].电力系统自动化,2026,50(20):45-55.
YI Jin,ZHANG Na,CHI Changyu,et al.Coordinated Scheduling Model of Electric-Thermal Energy Storage for Cross-scheduling-cycle Accommodation of Curtailed Electricity[J].Automation of Electric Power Systems,2026,50(20):45-55.
衣锦,张娜,迟长煜等.面向弃电跨调度周期消纳的电-热储能协同调度模型[J].电力系统自动化,2026,50(20):45-55. DOI: 10.7500/AEPS20251004001.
YI Jin,ZHANG Na,CHI Changyu,et al.Coordinated Scheduling Model of Electric-Thermal Energy Storage for Cross-scheduling-cycle Accommodation of Curtailed Electricity[J].Automation of Electric Power Systems,2026,50(20):45-55. DOI: 10.7500/AEPS20251004001.
在中国北方地区省级电-热综合能源系统中,随着风光新能源占比的不断提升,将调度周期内整体过剩的新能源有序存储在电、热储能中用于后续调度周期,成为越来越常见的目前调度场景。现有基于弃电惩罚的调度模型在应用于多能源系统调度时,因存在多解而无法引导新能源弃电在异质储能中有序、高效存储。为此,提出了将电、热储能的日末蓄能量根据后续日利用价值折算为等效成本,并纳入调度模型目标函数予以扣减的策略;通过对电、热储能在非弃电与弃电场景下6种运行情况的理论分析,确定了电、热储能蓄能量等效成本折算系数的合理取值范围,实现了对调度过程中电、热储能的有序引导。以中国北方某省级电-热综合能源系统为参考进行算例分析,验证了所提调度模型的有效性与优越性。
In the provincial electric-thermal integrated energy systems in Northern China
with the continuously growing penetration of wind-solar renewable energy
orderly storing the overall surplus renewable energy within a scheduling cycle into electric and thermal energy storage devices for subsequent scheduling cycles has become an increasingly common day-ahead scheduling scenario. Aiming at the problem that existing scheduling models based on curtailment penalty suffer from multiple solutions when applied to multi-energy system scheduling
which fails to guide the orderly and efficient storage of curtailed renewable energy among heterogeneous energy storages
this paper proposes a strategy that converts the end-of-day stored energy of electric and thermal energy storage into equivalent costs according to their utilization value in subsequent days
and deducts such equivalent costs in the objective function of the scheduling model. Through theoretical analysis of six operating conditions of electric-thermal energy storage in non-curtailment and curtailment scenarios
the reasonable value range of conversion coefficients for the equivalent cost of stored energy in electric and thermal energy storage is determined
and the orderly guidance for electric-thermal energy storage during scheduling is realized. Case studies are conducted based on a provincial electric-thermal integrated energy system in Northern China to verify the effectiveness and superiority of the proposed scheduling model.
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