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Double-deck optimal schedule of micro-grid based on demand-side response

机译:基于需求侧响应的微电网双层最优时间表

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摘要

In order to fully consume renewable energies and schedule demand-side resources more hierarchically, a double-deck optimal schedule model of micro-grid, which connects to power grids and concludes battery energy storage system (BESS), is proposed. Unlike the original peak-valley time-of-use (TOU) price, in the upper layer optimal schedule, the improved TOU price which takes account into the user's satisfaction can express the adjusted loads accurately and the resulting net loads can be treated as a link between upper and lower layer scheduling. For the reason of having no precise model of BESS, the lower model for the goal of minimising the operation cost is solved by action dependent heuristic dynamic programming algorithm that is not relying on the accurate controlled object model. This algorithm is used to obtain the most optimal performance index function and control strategy by the optimal iterative process, which is based on the back propagation neural network used for evaluating the optimal performance index. Analysis of examples and results has been presented to show the effectiveness of the proposed strategies.
机译:为了完全消耗可再生能源和更准分层的需求侧资源,提出了一种用于电网和总结电池储能系统(BESS)的微电网的双层最佳调度模型。与原始峰值山谷的使用时间(tou)价格不同,在上层最佳时间表中,将考虑到用户满意的提高价格可以准确地表达调整后的负载,并且所得到的净负载可以被视为一个上层和下层调度之间的链接。由于没有BESS的精确模型,通过动作依赖的启发式动态编程算法解决了最小化运营成本的较低模型,这些动态动态编程算法不依赖于准确控制的对象模型。该算法用于通过最佳迭代过程获得最佳性能指标功能和控制策略,该过程基于用于评估最佳性能指标的后传播神经网络。提出了对实例和结果的分析,以表明拟议策略的有效性。

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