Yan, Qingzhi (Southeast University), Niu, Honghai (Nanjing NARI RELAYS Elect Co Ltd), Guo, Zhenyu (Southeast University), Li, Yiguo (Southeast University)

Dual-Layer Operation Strategy of Integrated Energy System Based on Multivariate Predictive Control

Scheduled for presentation during the Regular Session "Power Networks monitoring and diagnosis" (FriS1T3), Friday, July 12, 2024, 09:00−09:20, Session room 3

12th IFAC Symposium on Control of Power & Energy Systems, July 10-12, 2024, Rabat, Morocco

This information is tentative and subject to change. Compiled on January 17, 2025

Abstract

Scheduling and control are two key dimensions to ensure the smooth operation of the integrated energy system, but there still exists the problem of insufficient accuracy of scheduling instructions due to modeling deviation between the scheduling model and the actual equipment. In this paper, a dual-layer operation strategy for integrated energy system based on multivariate predictive control is proposed, so as to make real-time corrections to the scheduling power instructions. The results show that the dual-layer operation strategy based on multivariate predictive control can better deal with the uncertainties of renewable energy output and electric load, and effectively reduce the impact of prediction deviation and scheduling model deviation on system operation. In the example calculation, compared with the operation strategy with only the scheduling layer, the total supply energy deviation with the dual-layer operation strategy decreases from 61.16 kWh to 22.96 kWh, which realizes the smooth and efficient operation of the system.