A coordinated and optimised scheduling method for integrated energy systems based on improved genetic algorithm

Yuanliang Zhang, Bin Guo, Liyu Huang and Yin Zheng

International Journal of Energy Technology and Policy, 2023, vol. 18, issue 3/4/5, 195-207

Abstract: A coordinated and optimised scheduling method for integrated energy systems based on improved genetic algorithm is proposed in order to improve the energy output efficiency of integrated energy systems. The multi-objective and multi-time dynamic loading model for an integrated energy system is constructed, and the power flow equation for the multi-energy network of electricity, gas and heat is established. The objective function for the coordinated scheduling model of the integrated energy system is designed by introducing the improved genetic algorithm, and the configuration parameters of the objective function are optimised by improving the crossover, variation and the rules of its own cold and heat conversion, so as to realise the coordinated and optimised scheduling of the integrated energy system and get the final scheduling model. The test results show that the proposed method can improve the balance of energy output and the energy efficiency of the system and shorten the convergence time.

Keywords: improved genetic algorithm; comprehensive energy; system coordination; optimise scheduling; power flow equation for multi energy network. (search for similar items in EconPapers)
Date: 2023
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=134163 (text/html)
Access to full text is restricted to subscribers.

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:ids:ijetpo:v:18:y:2023:i:3/4/5:p:195-207

Access Statistics for this article

More articles in International Journal of Energy Technology and Policy from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().