A Robust Economic Framework for Integrated Energy Systems Based on Hybrid Shuffled Frog-Leaping and Local Search Algorithm

Ahmed N. Abdalla (), Yongfeng Ju, Muhammad Shahzad Nazir and Hai Tao
Additional contact information
Ahmed N. Abdalla: Faculty of Electronic and Information Engineering, Huaiyin Institute of Technology, Huai’an 223003, China
Yongfeng Ju: Faculty of Electronic and Information Engineering, Huaiyin Institute of Technology, Huai’an 223003, China
Muhammad Shahzad Nazir: Faculty of Automation, Huaiyin Institute of Technology, Huai’an 223003, China
Hai Tao: School of Computer and Information, Qiannan Normal University for Nationalities, Duyun 558000, China

Sustainability, 2022, vol. 14, issue 17, 1-16

Abstract: The safe and efficient operation of the integrated energy system is severely hampered by a number of unpredictable elements, such as the output of renewable energy sources, the cost of energy purchases, and full demand response (IES). The effectiveness and excellence of the integrated energy system scheduling method can be increased with advanced modeling of unpredictable aspects. Thus, the IES robust stochastic optimisation model is constructed and solved with the hybrid shuffled frog-leaping and local search (HSFLA–LS) algorithm. Finally, a simulation analysis considering the uncertainty of energy purchase price based on the hybrid SFLA–LS algorithm is reduced by USD 1.63 (0.64%) and USD 3.34 (1.3%), compared to PSO and GA, respectively. In addition, the time taken to execute the SFLA–LS algorithm for the program is reduced by 1.886 s (1.59%), and 3.117 s (2.7%), compared to PSO and GA, respectively. The findings demonstrate that the suggested approach can lower system running expenses, and achieve the coordination and optimization of economy and robustness.

Keywords: integrated energy system; comprehensive demand response; multiple uncertainties; robust random optimisation; socio-economic impact (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

Downloads: (external link)
https://www.mdpi.com/2071-1050/14/17/10660/pdf (application/pdf)
https://www.mdpi.com/2071-1050/14/17/10660/ (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:14:y:2022:i:17:p:10660-:d:898778

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 ().