Collaborative scheduling of source-network-load-storage considering thermal inertia of the integrated electricity and district heating systems

ABSTRACT

With the strengthening of carbon emission control, the development of clean renewable energy has become a unanimous choice for many countries. However, in the integrated electricity and district heating system (IEDHS), the tightly coupled relationship between heat and electricity will make the system lack the flexibility for wind power integration. A source-network-load-storage scheduling scheme considering thermal inertia (TI-based SNLS scheduling) is proposed to realize the coordinated operation of source, network, load, and storage in IEDHS. The simplified thermal inertia model of district heating network (DHN) and building, and the charging-discharging model of a solid regenerative electric boiler (SREB), are also introduced. Four comparative cases are conducted based on wind power data of Jilin Province for a day-ahead dispatch problem. The results indicate that the scheme achieves a 9.19% improvement on the regulation flexibility of the combined heat and power (CHP) units, and the wind curtailment rate is reduced by 16.14%. The research also finds that using thermal inertia can alleviate the contradiction between heat load and wind power curve, but the contribution from DHN is limited compared with buildings. SREB can directly absorb wind power to compensate for heating, which has considerable potential in promoting wind power utilization. Furthermore, the indicative calculation of financial payback time considering carbon trading income elucidates the economic feasibility of the case system.

KEYWORDS:

• Wind power integration
• thermal inertia
• combined heat and power
• regenerative electric boiler
• carbon emission

Nomenclature

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Declarations and ethics statements

We declare that we have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. The data that support the findings of this study are available on request from the corresponding author. The data are not publicly available due to privacy or ethical restrictions.

Acknowledgments

We gratefully acknowledge the Shanghai Science and Technology Development Fund, NO.19DZ1205604 and State Grid Shanghai Electric Power Company, NO.52090020002X.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

This work was supported by Shanghai Science and Technology Development Funds [NO.19DZ1205604].