Abstract
This paper proposesd a coordinated optimization method for multi-energy system considering the uncertainty of thermal inertia of the heating system. First, based on the energy transmission network of the multi-energy system, the characteristics of transmission delay and equivalent energy storage of heating network arewere analyzed. Next, based on the description parameters of the transportation capacity for heating network pipeline, the quasi-dynamic equation of the heating pipeline transmission iswas established. The quantitative method of the difference between the monitoring data of the heating network operation status and the thermal energy flow model iswas analyzed, and the thermal inertia uncertainty model iswas established. Then, with the lowest operating cost of the electric-heat-gas multi-energy system as the objective function, a two-stage robust optimal scheduling model of the multi-energy system considering the uncertainty of thermal inertia iswas constructed. The column constraint generation algorithm and strong duality theory arwere introduced to solve the model. Finally, a simulation model iswas established based on the actual operating data of a multi-energy system in Northeast China. Simulation results show that the robust optimization scheduling model of multi-energy system based on thermal inertia uncertainty can balance the system scheduling cost and reliability.
| Translated title of the contribution | Two-stage Robust Optimal Scheduling Model for Multi-energy Systems Considering Thermal Inertia Uncertainty |
|---|---|
| Original language | Chinese (Traditional) |
| Journal | Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering |
| Volume | 41 |
| Issue number | 21 |
| Pages (from-to) | 7249-7260 |
| Number of pages | 12 |
| ISSN | 0258-8013 |
| DOIs | |
| Publication status | Published - 5 Nov 2021 |
Bibliographical note
Publisher Copyright:© 2021 Chin. Soc. for Elec. Eng.