Optimal Operation of Multiple Energy System Based on Multi-Objective Theory and Grey Theory

Bo Hu, Nan Wang, Zaiming Yu, Yunqing Cao, Dongsheng Yang and Li Sun
Additional contact information
Bo Hu: State Grid Liaoning Electric Power Co., Ltd., Shenyang 110006, China
Nan Wang: State Grid Liaoning Electric Power Co., Ltd., Shenyang 110006, China
Zaiming Yu: State Grid Liaoning Electric Power Co., Ltd., Shenyang 110006, China
Yunqing Cao: College of Physical Science and Technology, Yangzhou University, Yangzhou 225000, China
Dongsheng Yang: College of Information Science and Engineering, Northeastern University, Shenyang 110057, China
Li Sun: College of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin 150006, China

Energies, 2021, vol. 15, issue 1, 1-21

Abstract: The manufacturing industry consumes electricity and natural gas to provide the power and heat required for manufacturing. Additionally, large amounts of electric energy and heat energy are used, and the electricity cost, amount of environmental pollution, and equipment maintenance cost are high. Thus, optimizing the management of equipment with new energy is important to satisfy the load demand from the system. This paper formulates the scheduling problem of these multiple energy systems as a multi-objective linear regression model (MLRM), and an energy management system is designed focusing on the economy and on greenhouse gas emissions. Furthermore, a variety of optimization objectives and constraints are proposed to make the energy management scheme more practical. Then, grey theory is combined with the common MLRM to accurately represent the uncertainty in the system and to make the model better reflect the actual situation. This paper takes load fluctuation, total grid operation cost, and environmental pollution value as reference standards to measure the effect of the gray optimization algorithm. Lastly, the model is applied to optimize the energy supply plan and its performance is demonstrated using numerical examples. The verification results meet the optimized operating conditions of the multi-energy microgrid system.

Keywords: multiple energy system; optimal operation; multi-objective linear regression model (MLRM); grey theory (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.mdpi.com/1996-1073/15/1/68/pdf (application/pdf)
https://www.mdpi.com/1996-1073/15/1/68/ (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:jeners:v:15:y:2021:i:1:p:68-:d:709000

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

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