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Impact of battery energy storage, controllable load and network reconfiguration on contemporary distribution network under uncertain environment

机译:不确定环境下电池储能,可控负载和网络重新配置对现代配电网的影响

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摘要

The design of future distribution systems involves the application of flexible technologies such as renewable-based distributed generations (DGs), battery energy storage systems (BESSs), demand response for controllable load management and distribution network reconfiguration for achieving assets optimisation and for improving the efficiency of the distribution systems. The renewable-based DGs are the source of uncertainty that can be overcome by the proper modelling of renewable resources and application of energy storage devices. However, the coordination of these flexible technologies is essential to avoid counterproductive results and to extract maximum possible benefits from these technologies. This work, therefore, aims to study the coordinated impact of controllable load with renewable-based DGs, BESSs and network reconfiguration for improving the performance of distribution systems. The coordination of these technologies is a very complex optimisation problem due to various constraints associated with charging and discharging of BESSs, complex nature of controllable load management and feeder current limits of distribution network. In this study, an improved water evaporation optimisation algorithm is developed to solve this multi-constraint complex optimisation problem to minimise the network loss and voltage profile improvement for distribution system. The results show that this coordinated operational problem significantly improves the performance of distribution systems.
机译:未来的分销系统的设计涉及应用灵活的技术,如可再生的分布式代代(DGS),电池储能系统(BESS),可控负载管理和分发网络重新配置的需求响应,以实现资产优化和提高效率分配系统。基于可再生的DGS是不确定性的来源,可以通过适当的可再生资源建模和能量存储设备的应用来克服。然而,这些灵活技术的协调对于避免对策结果至关重要,并从这些技术中提取最大可能的益处。因此,这项工作旨在研究可控制负载与基于可再生的DGS,BESS和网络重新配置的协调影响,以改善分配系统的性能。这些技术的协调是一种非常复杂的优化问题,因为与贝塞尔的充电和放电相关,可控负载管理的复杂性质以及分发网络的馈线电流限制的复杂性质。在该研究中,开发了一种改进的水蒸发优化算法来解决该多约束复杂优化问题,以最小化分配系统的网络损耗和电压型材改进。结果表明,这一协调的运营问题显着提高了分配系统的性能。

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