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A Multilevel Approach for the Optimal Control of Distributed Energy Resources and Storage

机译：分布式能源和存储最优控制的多级方法

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摘要

An approach is proposed to deal with distributed energy resources, renewables and storage devices connected to microgrids. Specifically, a multilevel architecture is introduced and evaluated for the following main purposes: to reduce the computational complexity, to deal with different decentralized microgrids, different decision makers, and multiple objectives. A two-level decision architecture based on a Model Predictive Control (MPC) scheme is presented, in which the upper decision level has the function of fixing the values of a certain set of parameters (reference values), by assuming a certain structure of the control strategies to be applied at the lower decision level. On the basis of such parameters, each decision maker at the lower level solves its own optimization problem by tracking the reference values provided by the upper level. The effectiveness of the proposed approach is demonstrated. The application of the proposed control architecture to a specific case study (Savona, Italy) is presented and discussed.
机译：提出了一种方法来处理连接到微电网的分布式能源，可再生能源和存储设备。具体而言，出于以下主要目的，引入并评估了多级体系结构：降低计算复杂性，处理不同的分散微电网，不同的决策者和多个目标。提出了一种基于模型预测控制（MPC）方案的两级决策体系结构，其中较高的决策层具有通过假定特定结构参数（参考值）的特定结构来固定特定参数集（参考值）的值的功能。在较低决策级别应用的控制策略。基于这些参数，较低级别的每个决策者都可以通过跟踪较高级别提供的参考值来解决自己的优化问题。证明了该方法的有效性。提出并讨论了所建议的控制体系结构在特定案例研究（意大利萨沃纳）中的应用。

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