Research on intra-day real-time optimal scheduling strategy of new energy based on carbon emission constraints
|更新时间:2026-05-21
|
Research on intra-day real-time optimal scheduling strategy of new energy based on carbon emission constraints
Vol. 63, Issue 5, (2026)
作者机构:
南方电网调峰调频发电有限公司储能科研院
作者简介:
基金信息:
DOI:
CLC:
Published:2026
稿件说明:
移动端阅览
ZHAO Zengtao, PENG Yumin, ZHANG Hao, et al. Research on intra-day real-time optimal scheduling strategy of new energy based on carbon emission constraints[J]. 2026, 63(5).
DOI:
ZHAO Zengtao, PENG Yumin, ZHANG Hao, et al. Research on intra-day real-time optimal scheduling strategy of new energy based on carbon emission constraints[J]. 2026, 63(5).DOI:
Research on intra-day real-time optimal scheduling strategy of new energy based on carbon emission constraints
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.