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Day-Ahead Scheduling of a Photovoltaic Plant by the Energy Management of a Storage System

机译:通过存储系统的能量管理进行光伏电站的日前调度

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摘要

The paper discusses and describes a system for energy management of a 10 kW PV plant coupled with a 15 kW - 190 kWh storage system. The overall idea is, by knowing the meteorological forecast for the next 24h, to dispatch the PV system and to be able to grant the scheduled hourly energy profile by a proper management of the storage. Due to forecast inaccuracies, the energy manager controls the storage in order to ensure that the plan for hourly energy production is respected, minimizing the storage itself usage. The experimental study is carried out in SYSLAB, a distributed power system test facility at DTU Risø Campus and part of PowerLabDK. Both the PV and the storage are connected to the local network and are fully controllable through the SCADA system. The controlmanagement and the models are implemented in Matlab-Simulink, which can be interfaced with SYSLAB.
机译:本文讨论并描述了一种用于10 kW光伏电站的能源管理系统以及15 kW-190 kWh的存储系统。总体思路是,通过了解下一个24小时的气象预报,来调度光伏系统,并能够通过适当的存储管理来准予计划的每小时能源概况。由于预测的不准确性,能源管理器控制存储,以确保遵守每小时的能源生产计划,从而最大限度地减少了存储本身的使用。实验研究是在SYSLAB进行的,SYSLAB是DTURisø校园的分布式电源系统测试设施,并且是PowerLabDK的一部分。 PV和存储都连接到本地网络,并且可以通过SCADA系统进行完全控制。控制管理和模型在Matlab-Simulink中实现,可以与SYSLAB接口。

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