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Hierarchical predictive control scheme for distributed energy storage integrated with residential demand and photovoltaic generation

机译:结合居民需求和光伏发电的分布式储能分层预测控制方案

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摘要

A hierarchical control scheme is defined for the energy management of a battery energy storage system which is integrated in a low-voltage distribution grid with residential customers and photovoltaic installations. The scope is the economic optimisation of the integrated system by employing predictive control techniques. The approach is based on hierarchical decomposition of the optimisation problem in the time domain by composing a three-level scheduling and control scheme, that is, , , and , where the initial and final states of each sub-problem are chosen as coordination parameters. The and the problems address the interactions with electricity markets during the scheduling phase. The algorithm is able to adapt the operation of the battery system according to updated information about market conditions, residential demand, and local generation, and subject to the network capacity and other technical constraints. The simulation scenarios address the interactions with the day-ahead auction and the imbalance settlement system in the Netherlands.
机译:为电池储能系统的能量管理定义了分级控制方案,该系统与居民用户和光伏装置集成在低压配电网中。范围是通过采用预测控制技术对集成系统进行经济优化。该方法基于时域上优化问题的分层分解,方法是构成三级调度和控制方案,即,和,其中选择每个子问题的初始状态和最终状态作为协调参数。和问题解决了在调度阶段与电力市场的相互作用。该算法能够根据有关市场状况,住宅需求和本地发电的更新信息,并受网络容量和其他技术约束的影响,来适应电池系统的运行。模拟方案解决了荷兰日间拍卖与不平衡结算系统之间的相互作用。

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