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A Two-stage Model Predictive Control Strategy for Economical Operation of Microgrid

机译:微电网经济运行的两阶段模型预测控制策略

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Microgrid consisting of distributed diesel generators, battery packs and distributed photovoltaics can provide effective power supply for residents in remote areas such as islands. However, due to fluctuations in load power consumption and distributed PV output, it needs be effective. The operational control method adjusts the power distribution to achieve cost-effective operation of the system and reliable power supply. Therefore, this paper proposes a microgrid optimal operation control strategy based on two-stage model prediction method. The first two-stage builds an optimal control problem based on an effective prediction of the power of each component to achieve optimal distribution of electrical energy. In order to improve the robustness of the control strategy to the prediction error, the second two-stage further adjusts the power generation of the diesel generator by solving the boundary value problem. The case study shows the effectiveness of the proposed control strategy in terms of computational feasibility, accuracy, robustness and cost reduction.
机译:由分布式柴油发电机,电池组和分布式光伏电池组成的微电网可以为岛屿等偏远地区的居民提供有效的电力供应。但是,由于负载功耗和分布式PV输出的波动,它需要有效。该操作控制方法可调整功率分配,以实现系统的经济高效运行和可靠的电源。因此,本文提出了一种基于两阶段模型预测方法的微电网最优运行控制策略。前两个阶段基于对每个组件的功率的有效预测来建立最佳控制问题,以实现电能的最佳分配。为了提高控制策略对预测误差的鲁棒性,第二两阶段通过解决边界值问题进一步调整柴油发电机的发电量。案例研究表明了所提出的控制策略在计算可行性,准确性,鲁棒性和降低成本方面的有效性。

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