Collaborative optimal operation of transmission system with integrated active distribution system and district heating system based on semi-definite programming relaxation method
Houhe Chen,
Chuqiao Lin,
Linbo Fu and
Rufeng Zhang
Energy, 2021, vol. 227, issue C
Abstract:
The increasing installment of distributed generations (DGs) and the tight coupling between active distribution system (ADS) and district heating system (DHS) enhance the flexibility of electricity-heat integrated energy system (IES) to participate in the operation of power transmission system. The operation of transmission system will be affected by distribution company (DISCO). In this paper, a collaborative optimal operation model of transmission system is proposed considering the interaction with the district electricity-heat integrated energy systems based on a semi-definite programming relaxation method. The optimal operation problem of ADS is modeled based on AC optimal power flow (ACOPF) with second order cone (SOC) relaxation, and network constraints of DHS are considered. An iterative semi-definite programming relaxation method is utilized to ensure the solution accuracy. The effectiveness of the proposed model on improving the utilization rate of DGs and the economy is verified based on case studies.
Keywords: Collaborative optimal operation model; Distributed generations; District electricity-heat integrated energy system; Semi-definite programming relaxation method (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0360544221007143
Full text for ScienceDirect subscribers only
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:eee:energy:v:227:y:2021:i:c:s0360544221007143
DOI: 10.1016/j.energy.2021.120465
Access Statistics for this article
Energy is currently edited by Henrik Lund and Mark J. Kaiser
More articles in Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().