基于泛在电力物联网的分布式可再生能源(DRE)理性消纳调峰模型

建设泛在电力物联网的目标之一是促进可再生能源消纳，但分布式可再生能源（distributed renewable energy，DRE）存在电网难以调度和消纳成本高等问题。文章基于泛在电力物联网思想，将风电、光伏为代表的DRE、燃气轮机、储能系统、可控负荷以虚拟电厂形式纳入调峰资源，提出了一种DRE参与系统调峰的理性消纳模型。选择改进的IEEE 30节点系统，利用基于分布估计的膜算法计算了3种不同组合模式下调峰系统的运行成本和DRE的消纳程度，并进行对比分析。结果表明，基于泛在电力物联网的DRE理性消纳调峰模式可以更高效利用调峰资源，实现可再生能源消纳、调峰系统经济性的双赢局面。

Rational Accommodation Model of DREs for Peak-Shaving in Ubiquitous Power Internet of Things

One of the goals of building ubiquitous power internet of things is to promote the accommodation of renewable energy. However， distributed renewable energies (DREs) have some problems， such as difficulty in dispatching by power grids and high cost of absorption. On the basis of the idea of ubiquitous power internet of things， DREs represented by wind power and photovoltaic power， conventional gas turbine， energy storage system， controllable load are incorporated into peak-shaving resources in the form of virtual power plant， and a peak-shaving model for DREs accommodated rationally is built. The improved IEEE 30-node system is selected， membrane computing based on distribution estimation is used to calculate the operation cost of peak-shaving system and DREs absorption degree under three different combination modes， and then a comparative analysis is made. The results show that peak-shaving resources are used more efficiently， and a win-win situation of the absorption of renewable energies and the economy of peak-shaving system is realized， when the peak-shaving mode for DREs absorbed rationally is used.