Multi-Objective Economic Scheduling of a Shipboard Microgrid Based on Self-Adaptive Collective Intelligence DE Algorithm

With the growing demand for emission reductions and fuel efficiency improvements, alternative energy sources and energy storage technologies are becoming popular in a ship microgrid. In order to balance the two non-compatible objectives, a new differential evolution variant, which is named as SaCIDE...

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Bibliographic Details
Published in:IEEE access 2020, Vol.8, p.73204-73219
Main Authors: Feng, Jinhong, Zhang, Jundong, Wang, Chuan, Jiang, Ruizheng, Xu, Mingyi
Format: Article
Language:English
Subjects:
Adaptive algorithms
Adaptive control
Alternative energy
Alternative energy sources
Batteries
collective intelligence (CI)
differential evolution (DE)
Distributed generation
Economics
Emissions control
Energy storage
Evolutionary algorithms
Evolutionary computation
global optimization
Hybrid power systems
Intelligence (information)
Marine vehicles
Microgrids
Multiple objective analysis
Mutation
Operators (mathematics)
Optimization
Scheduling
Shipboard microgrid
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Summary:With the growing demand for emission reductions and fuel efficiency improvements, alternative energy sources and energy storage technologies are becoming popular in a ship microgrid. In order to balance the two non-compatible objectives, a new differential evolution variant, which is named as SaCIDE-r, was proposed to solve the optimization problem. In this algorithm, a Collective Intelligence (CI) based mutation operator was proposed by mixing some promising donor vectors in the current population. Besides, a self-adaptive mechanism which was developed to avoid introducing extra control parameters. Further, to avoid being trapped in local optima, a re-initialization mechanism was developed. Then, we have evaluated the performances of the proposed SaCIDE-r approach by studying some numerical optimization problems of Congress on Evolutionary Computation (CEC) 2013 with D = 30, compared with seven stateof-the-art DE algorithms. Moreover, the proposed SaCIDE-r method was applied for economic scheduling of a shipboard microgrid under different cases compared with other multi-objective optimizing methods, resulting in very competitive performances. The comprehensive experimental results have demonstrated that the presented SaCIDE-r method might be a feasible solution for such a kind of optimization problem.
ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2020.2988530