Distributed multi-objective fast convergent heuristic algorithm for novel power systems dispatch

To simulate large-scale renewable energy grid integration and to solve the poor optimization of heuristic algorithms caused by improper parameter setting, this study proposes a distributed novel power systems (DNPSs) model and a distributed multi-objective mantis search algorithm based on dynamic Le...

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Veröffentlicht in:Applied soft computing Jg. 186; S. 114294
Hauptverfasser: Lu, Quan, Zeng, Haozheng, Yin, Linfei
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Elsevier B.V 01.01.2026
Schlagworte:
distributed multi-objective mantis search algorithm
distributed novel power systems
Dynamic Levy flight adjusting parameter strategy
DSC-MOSOS
MOALO
DNPSs
distributed novel power systems
distributed multi-objective mantis search algorithm
DSC-MOPSO
SPEA2
PSs
CPSs
DLFDMOMSA
MOMFO
Dynamic Levy flight adjusting parameter strategy
MOMSA
NSGA
DMOMSA
ED
MOGWO
ISSN:1568-4946
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Zusammenfassung:To simulate large-scale renewable energy grid integration and to solve the poor optimization of heuristic algorithms caused by improper parameter setting, this study proposes a distributed novel power systems (DNPSs) model and a distributed multi-objective mantis search algorithm based on dynamic Levy flight adjusting parameters strategy (DFLDMOMSA). The DNPSs orchestrate the cooperative operation of 6 renewable energy sources. The DLFDMOMSA introduces dynamic Levy Flght adjusting parameter strategy based on distributed multi-objective mantis search algorithm to avoid premature convergence by allowing heuristic algorithms with no fixed values for the initial parameter. Simulation results demonstrate that DLFDMOMSA is compared to seven comparison algorithms: (1) in 118-bus novel PS, carbon dioxide emissions are decreased by 3.92 %, 2.43 %, 0.042 %, 3.82 %, 1.94 %, 1.77 %, and 18.89 %, respectively, and generator costs are decreased by 0.74 %, 0.43 %, 0.038 %, 0.21 %, 1.85 %, 0.92 %, and 0.32 %, respectively; (2) in 1375-bus novel PS, carbon dioxide emissions are decreased by 5.76 %, 6.43 %, 9.32 %, 4.64 %, 3.96 %, 4.49 %, and 16.24 %, respectively, and generator costs are decreased by 3.11 %, 3.88 %, 4.07 %, 1.92 %, 4.12 %, 3.24 %, and 7.51 %, respectively; (3) the proposed algorithm can find smaller Pareto curves. •Distributed multi-objective economic dispatch problems are established.•Distributed multi-objective mantis method with dynamic Levy flight is proposed.•The proposed method is highly exploratory to jump out of local optimization.•The method avoids deteriorating performances caused by constant initial parameters.•Generator costs and carbon emissions are optimized simultaneously by proposed method.
ISSN:1568-4946
DOI:10.1016/j.asoc.2025.114294