基于碳排放约束的新能源日内实时优化调度策略 研究

赵增涛; 彭煜民; 张豪; 黄凡旗; 李卓奕

赵增涛,彭煜民,张豪,黄凡旗,李卓奕.基于碳排放约束的新能源日内实时优化调度策略研究[J].电测与仪表,2026,63(5):1-8.
ZHAO Zengtao,PENG Yumin,ZHANG Hao,HUANG Fanqi,LI Zhuoyi.Research on intra-day real-time optimal scheduling strategy of new energy based on carbon emission constraints[J].Electrical Measurement & Instrumentation,2026,63(5):1-8.

基于碳排放约束的新能源日内实时优化调度策略研究

Research on intra-day real-time optimal scheduling strategy of new energy based on carbon emission constraints

DOI：

中文关键词: 抽水蓄能电站电力现货市场碳排放约束发电机会收益日内实时优化调度

英文关键词:pumped storage power stations electricity spot market carbon emission constraints opportunistic power generation revenues Optimize scheduling in real time within a day

基金项目:南方电网调峰调频发电有限公司生产监控指挥中心建设项目(020000GS61200001)

作者中文名	作者英文名	单位
赵增涛	ZHAO Zengtao	1.南方电网调峰调频发电有限公司储能科研院
彭煜民	PENG Yumin	1.南方电网调峰调频发电有限公司储能科研院
张豪	ZHANG Hao	1.南方电网调峰调频发电有限公司储能科研院
黄凡旗	HUANG Fanqi	1.南方电网调峰调频发电有限公司储能科研院
李卓奕	LI Zhuoyi	1.南方电网调峰调频发电有限公司储能科研院

摘要点击次数: 73

中文摘要:

为了进一步提升抽水蓄能电站参与电力市场情景下的经济效益,提出了基于电能量价值评估的抽水蓄能电站日内实时优化调度方法。该方法首先将一个电力市场交易日下抽水蓄能的运行计划划分为多个时段,针对每个时段的运行工况实时制定和调整运行状态。首先建立了基于抽水蓄能电站剩余可调容量的发电机会收益评估的水能实时价值评估模型,该模型以参与电力现货市场和辅助服务市场收益最大化为目标函数,计及碳排放约束、可调节库容约束、电站运行功率约束、电站参与电力市场状态约束等必要约束条件。接着通过对比剩余可调容量的边际发电机会收益和电力市场价格,采用实时优化调度的策略滚动制定当前时段的抽水蓄能电站运行状态。仿真算例表明,相比于传统的日前优化调度方法,本文所提出的方法能够有效提升抽水蓄能电站参与电力市场的收益并实现碳减排,验证了模型的正确性和有效性。

英文摘要:

In order to further improve the economic benefits of pumped storage power stations participating in the electricity market, an intra-day real-time optimal scheduling method for pumped storage power stations based on the evaluation of electricity energy value is proposed. Firstly, the operation plan of pumped storage under an electricity market transaction day is divided into multiple periods, and the operation state is formulated and adjusted in real time for the operation conditions of each period. Firstly, a hydropower real-time value assessment model based on the opportunity generation revenue assessment of the remaining adjustable capacity of the pumped storage power station is established. The model takes the maximization of the revenue of participating in the electricity spot market and the auxiliary service market as the objective function, and takes into account the necessary constraints such as carbon emission constraints, adjustable capacity constraints, power station operation power constraints, and power station participation in the electricity market state constraints. Then, by comparing the marginal opportunity generation income and the electricity market price of the remaining adjustable capacity, the real-time optimal scheduling strategy is used to rollingly formulate the operating state of the pumped storage power station in the current period. The simulation results show that compared with the traditional day-ahead optimal scheduling method, the proposed method can effectively improve the revenue of pumped storage power stations participating in the electricity market and to achieve carbon emission reduction, and verify the correctness and effectiveness of the model.

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