Abstract:

In order to meet the challenges of operational reliability and economy in the low-carbon park caused by the uncertainty of wind power output, a multi-timescale robustly coordinated operation scheme is proposed to minimize the integrated electricity-carbon operation cost in the low-carbon park, where the diverse regulation capabilities of the flexible resources, such as hydrogen, natural gas, and electrochemical energy storages are fully utilized. The first stage of the proposed operation scheme is the day-ahead decision stage, which considers the multi-timescale fluctuation of wind power output and load demand, and formulates the robust scheduling commands for hydrogen, natural gas, and electrochemical energy storage. The second stage is the intra-day decision stage, which combines the short-term forecast results of wind power output and load demand to dynamically adjust the wind turbine power scheduling commands. The day-ahead decision is an adaptive robust optimization problem, which is solved by the column-and-constraint generation (C&CG) algorithm, while the intra-day decision is a deterministic optimization problem, which is solved by the linear programming algorithm. Finally, this paper proposes an operation simulation model to validate the effectiveness of the operation scheme by combining the hourly and daily operation data of wind power and the load demand in a practical low-carbon park. The simulation results show that the proposed method can effectively improve the operational economy and reliability of the low carbon park with a high penetration of wind power.

Key words: high penetration of wind power, low-carbon park, flexible resources, integrated electricity-carbon operation cost, coordinated operation