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Robust optimization based energy dispatch in smart grids considering demand uncertainty

机译:考虑需求不确定性的智能电网中基于稳健优化的能量调度

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摘要

In this study we discuss the application of robust optimization to the problem of economic energy dispatch in smart grids. Robust optimization based MPC strategies for tackling uncertain load demands are developed. Unexpected additive disturbances are modelled by defining an affine dependence between the control inputs and the uncertain load demands.\udThe developed strategies were applied to a hybrid power system connected to an electrical power grid. Furthermore, to demonstrate the superiority of the standard Economic MPC over the MPC tracking, a comparison (e.g average daily cost) between the standard MPC tracking, the standard Economic MPC, and the integration of both in one-layer and two-layer approaches was carried out. The goal of this research is to design a controller based on Economic MPC\udstrategies, that tackles uncertainties, in order to minimise economic costs and guarantee service reliability of the system.
机译:在这项研究中,我们讨论了鲁棒优化在智能电网中经济能源分配问题中的应用。开发了用于解决不确定负载需求的基于鲁棒优化的MPC策略。通过定义控制输入和不确定的负载需求之间的仿射依赖关系,对意外的附加扰动进行建模。\ ud将开发的策略应用于连接到电网的混合动力系统。此外,为了证明标准经济MPC优于MPC跟踪,对标准MPC跟踪,标准经济MPC以及单层和两层方法的集成进行了比较(例如,平均每日费用)。执行。这项研究的目的是设计一种基于经济MPC \策略的控制器,该控制器可以解决不确定性,从而最大程度地降低经济成本并保证系统的服务可靠性。

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