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首页> 外文期刊>Mathematical Problems in Engineering: Theory, Methods and Applications >Optimal Scheduling of a Microgrid Using Multiobjective Biogeography-Based Optimization Model and Algorithm with Adaptive Migration
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Optimal Scheduling of a Microgrid Using Multiobjective Biogeography-Based Optimization Model and Algorithm with Adaptive Migration

机译：基于多目标生物地理的优化模型和具有自适应迁移的算法的优化调度

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摘要

Aiming at the important research topic of optimal scheduling in the microgrid field, the general model for multiobjective dynamic optimal scheduling of a microgrid is established with the objective of minimizing economic and environmental costs. On this basis, the model is organically integrated with constraint handling technology, multiobjective optimization, and biogeography-based optimization algorithm, and then a constrained multiobjective evolutionary model suitable for biogeography-based optimization is further established. The corresponding constraint handling mechanism, the determination method of habitat suitability index, and migration strategy are improved, and the convergence performance and the distribution uniformity of Pareto frontier for multiobjective evolutionary algorithm are effectively enhanced. Applied to the optimal scheduling of typical microgrid systems, the effectiveness of the proposed model and method is verified.
机译：针对微电器场中最佳调度的重要研究课题，确定了微电网的多目标动态最佳调度的一般模型，目的是最大限度地减少经济和环境成本。在此基础上，该模型与约束处理技术，多目标优化和基于生物地理的优化算法有机整合，然后进一步建立了适用于基于生物地基优化的约束的多目标进化模型。相应的约束处理机制，栖息地适用性指标的确定方法和迁移策略得到改善，并且有效地增强了多目标进化算法的帕累托前沿的收敛性能和分布均匀性。应用于典型微电网系统的最佳调度，验证了所提出的模型和方法的有效性。

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