Hierarchical Optimal Scheduling of Integrated Energy System with Electric Vehicles Based on EMPC

Authors

Miaomiao Ma, School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China; State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing 102206, China
Zijuan Long, School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China
Zhiwei Ren, School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China
Yongqiang Cheng, School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China

Abstract

Abstract: A hierarchical real-time optimization (HRTO) based on economic model predictive control is designed to address the issues of randomness and uncertainty of renewable energy and demand-side in integrated energy systems (IES) with electric vehicles. The optimization problem of the entire system is divided into three sub-problems: day-ahead rolling optimization, real-time rolling optimization, and tracking control. The day-ahead optimization strategy based on economic model predictive control is constructed to ensure that the operational units can meet users' demands. The optimal steady-state operating points of the entire IES are obtained through the real-time optimization layer. The tracking model predictive controller is implemented to track the optimal reference values transmitted from the upper layer. This strategy introduces electric vehicles to participate in the optimization and scheduling of the IES, which can fully utilize the energy storage characteristics and flexibility of electric vehicles, thereby achieving the collaborative optimization between electric vehicles and various energy systems. Simulation and analysis results demonstrate that the proposed HRTO effectively tracks electric power loads and building temperature setpoints.

Recommended Citation

Ma, Miaomiao; Long, Zijuan; Ren, Zhiwei; and Cheng, Yongqiang (2025) "Hierarchical Optimal Scheduling of Integrated Energy System with Electric Vehicles Based on EMPC," Journal of System Simulation: Vol. 37: Iss. 5, Article 2.
DOI: 10.16182/j.issn1004731x.joss.24-0621
Available at: https://dc-china-simulation.researchcommons.org/journal/vol37/iss5/2

First Page

1116

Last Page

1128

CLC

TM734；TP273+.3

Recommended Citation

Ma Miaomiao, Long Zijuan, Ren Zhiwei, et al. Hierarchical Optimal Scheduling of Integrated Energy System with Electric Vehicles Based on EMPC[J]. Journal of System Simulation, 2025, 37(5): 1116-1128.

Corresponding Author

Cheng Yongqiang

DOI

10.16182/j.issn1004731x.joss.24-0621