TY  - EJOU
AU  - Zhao, Jun 
AU  - Yang, Chaoying 
AU  - Li, Ran 
AU  - Song, Jinge 

TI  - Multi-Time Scale Operation and Simulation Strategy of the Park Based on Model Predictive Control
T2  - Energy Engineering

PY  - 2024
VL  - 121
IS  - 3
SN  - 1546-0118

AB  - Due to the impact of source-load prediction power errors and uncertainties, the actual operation of the park will have a wide range of fluctuations compared with the expected state, resulting in its inability to achieve the expected economy. This paper constructs an operating simulation model of the park power grid operation considering demand response and proposes a multi-time scale operating simulation method that combines day-ahead optimization and model predictive control (MPC). In the day-ahead stage, an operating simulation plan that comprehensively considers the user’s side comfort and operating costs is proposed with a long-term time scale of 15 min. In order to cope with power fluctuations of photovoltaic, wind turbine and conventional load, MPC is used to track and roll correct the day-ahead operating simulation plan in the intra-day stage to meet the actual operating operation status of the park. Finally, the validity and economy of the operating simulation strategy are verified through the analysis of arithmetic examples.
KW  - Demand response; model predictive control; multiple time scales; operating simulation

DO  - 10.32604/ee.2023.042806