提出了将分布式能源、可再生能源和能源存储设备连接到微电网的一种多层次优化方法,构建了一个用于降低计算复杂度、优化不同分散的微电网、不同的决策者和多目标结构的多层次结构体系。该体系将多层次结构体系连接到系统控制网络的智能电网,多层次结构体系的上层决策层具有一组固定的参数(参考值)函数,并通过特定的控制策略结构来适应较低的决策水平,根据这一参数,每个较低级别的决策者通过跟踪上层决策者所提供的参考值解决自身的优化问题。软件模拟仿真结果显示,多层次结构体系的运用,不仅在智能电网中优化了运行时间,而且对电网能量进行了优化管理,降低了能源消耗。
A multilevel optimization approach is proposed to connect distributed energy, renewable energy and energy storage devices to microgrid. A multilevel architecture system is constructed to reduce the computational complexity and optimize different decentralized microgrids, different decision makers and multiple objectives construction. This architecture system connects the multilevel structure system to the system control network of smart grids, the upper decision level of multilevel architecture system has a set of fixed parameter(reference values) function, and adapts to the lower decision level by a specific structure of the control strategy. On the basis of the parameters, each decision maker at the lower level solves its own optimization problem by tracking the reference values provided by the upper level. Software simulation results show that the application of multi-level structure system not only optimizes the running time in the smart grid but also optimizes the power grid energy management and reduces energy consumption.