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Optimal Operation of Multi-Energy Systems in Distributed Energy Network Considering Energy Storage

机译:考虑能量存储的分布式能量网络多能量系统的最佳运行

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Multi-energy system in distributed energy network consists of distributed heating, cooling, generation and other sub systems. This paper presented a multi-objective optimal scheduling strategy of multi-energy system which based on load forecast data and tight coupling for the relationship of supply and demand. According to different load characteristics, heat and cold energy storage energy hubs were designed. The multi-objective optimization strategy included that operational economic and comprehensive energy efficiency as multi-objective. The multi-objective model was performed based on two partial and global optimization scenarios in distributed energy network, which solved though the improved NAGA-II algorithm. A case study shows are carried out to examine the performance of the optimal scheduling strategy, which can effectively manage multi-energy in distributed energy network.
机译:分布式能量网络中的多能量系统包括分布式加热,冷却,发电等副系统。本文介绍了多能量系统的多目标最佳调度策略,基于负载预测数据和用于供需关系的紧密耦合。根据不同的负载特性,设计了热和冷能量存储能量毂。多目标优化策略包括,运营经济和全面的能源效率为多目标。基于分布式能量网络中的两个部分和全局优化方案执行多目标模型,尽管改进的Naga-II算法解决了。进行案例研究表明,以检查最佳调度策略的性能,可以有效地管理分布式能量网络中的多能量。

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