Anti-Disturbance Integrated Control Method and Energy Consumption Analysis of Central Heating Systems Based on Resistance–Capacitance Reactance

Lu Jin, Liguo Shi, Dezhi Li, Kaicheng Liu, Ming Zhong and Jingshuai Pang ()
Additional contact information
Lu Jin: China Electric Power Research Institute Limited, Beijing 100192, China
Liguo Shi: Qingdao Power Supply Company of State Grid Shandong Province Electric Power Company, Qingdao 266001, China
Dezhi Li: China Electric Power Research Institute Limited, Beijing 100192, China
Kaicheng Liu: China Electric Power Research Institute Limited, Beijing 100192, China
Ming Zhong: China Electric Power Research Institute Limited, Beijing 100192, China
Jingshuai Pang: China Electric Power Research Institute Limited, Beijing 100192, China

Sustainability, 2023, vol. 15, issue 16, 1-20

Abstract: Under the dual carbon strategy, with the frequent occurrence of extreme weather and the further increase in uncertainty of multi-user behavior, it is urgent to improve the stability of the heating systems and reduce heating energy consumption. Aiming at the problem of fault-disturbance control of the multi-user heating network in an integrated energy system, this paper proposes a novel analysis method of resistance–capacitance reactance based on the circuit principle to construct a dynamic thermal-power-flow model of the whole link of the multi-user heating network and analyze the fault-disturbance propagation characteristics of the heating network by this model. It shows that the difference in disturbance characteristics of different users in a multi-user heating network mainly depends on the characteristics of the heating pipeline between the heat user and the heat source, which provides a necessary basis for formulating intelligent control strategies against fault disturbance. Finally, taking a typical daily outdoor temperature in Beijing in winter as an example, this paper compares two different heating strategies and the blocker installation methods of the multi-user heating network to obtain a better heating strategy under actual conditions. Considering the heating fault disturbance, this paper proposes a novel intelligent heating strategy whose heating temperature will decrease during the fault-disturbance time, with an energy saving of about 16.5% compared with the heating strategy under actual conditions during the same period.

Keywords: heating network; resistance-capacitance reactance; thermal power flow; fault disturbance; intelligent control (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2071-1050/15/16/12496/pdf (application/pdf)
https://www.mdpi.com/2071-1050/15/16/12496/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:15:y:2023:i:16:p:12496-:d:1219077

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().