 Mixed neurodynamic optimization for the operation of multiple energy systems considering economic and environmental aspectsPeiling Feng and Xing He Energy, 2021, vol. 232, issue C Abstract: In addition to economic goals, environmental constraints play an increasingly important role in the operation of multiple energy systems. A optimization model combining the minimization of energy cost and the carbon emissions is established to evaluate environmental impact, which is significant in the policy making policy making of the energy saving and emission reduction. In this paper, a bi-level model of multiple energy systems is proposed, which considers the constraints of operation and emission. The upper-level model studies the optimal allocation of electric power and natural gas in multiple energy systems. Based on the energy hub modeling method, the low-level model investigates the optimal energy supply allocation of multiple energy carriers. The mixed neurodynamic algorithm combining neurodynamic algorithm and intelligent algorithm is used to get the optimization results. Simulation results verify the effectiveness of the model and algorithm. Keywords: Multiple energy systems; Carbon emission; Mixed neurodynamic algorithm; Energy hub (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:232:y:2021:i:c:s0360544221012135 DOI: 10.1016/j.energy.2021.120965 Access Statistics for this article Energy is currently edited by Henrik Lund and Mark J. Kaiser More articles in Energy from Elsevier |
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