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Integration of storage systems in distribution networks through multiobjective optimization

机译:通过多目标优化集成分发网络中的存储系统

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The use of storage systems in distribution networks allows smoothing the load diagram. In fact, the cost of energy is different along the day and companies can be encouraged to use these systems, since the extra energy required to charge the storage system can be obtained in periods where the cost of the energy is lower and used in periods when the energy cost is higher. Storage systems also allow reducing losses of the lines and improving voltage profile. However, in distribution networks there are benefits in using distributed storage instead of centralized storage. Under this context, this paper proposes a multiobjective optimization approach for the location and sizing of storage systems. In this problem, the objective functions are in conflict. Increasing the number of storage systems leads to a reduction in the peak power and losses, but also will increase the investment cost. This approach allows obtaining solutions of different trade-offs with respect to the two objectives. An IEEE 69 buses and a real 94 buses test feeders are used to demonstrate the effectiveness of the proposed approach.
机译:在分发网络中使用存储系统允许平滑负载图。事实上,能量成本与当天不同,公司可以鼓励使用这些系统,因为可以在能量成本较低的时段中获得存储系统所需的额外能量,并且在期间能源成本更高。存储系统还允许减少线路的损耗并改善电压曲线。但是,在配送网络中,使用分布式存储而不是集中存储有益。在此背景下,本文提出了一种用于存储系统的位置和尺寸的多目标优化方法。在这个问题中,客观函数处于冲突中。增加存储系统的数量导致峰值功率和损耗的减少,但也会增加投资成本。这种方法允许在两个目标获得不同权衡的解决方案。 IEEE 69总线和真正的94公交车测试馈线用于展示所提出的方法的有效性。

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