论文标题
使用逆变器的分配网格中无模型损失最小化
Decentralized Model-free Loss Minimization in Distribution Grids with the Use of Inverters
论文作者
论文摘要
分配网格正在经历波动分布式能源（DERS）的大量渗透。结果，分发网格的实时有效且安全的操作成为最重要的问题。在安装智能传感器和增强通信基础架构可以提高电网可观察性时，在计算上，配电系统操作员（DSO）不可能优化数百万个DER单元的设定点。本文提出了无通信和无模型的算法，这些算法可以主动控制转换器连接的设备，并且可以作为独立的或与集中优化算法相结合的操作。我们解决了分配网格中损失最小化的问题，并在分析上证明我们所提出的算法减少了总网格损失，而无需任何有关网络的事先信息，不需要通信，并且仅基于本地测量。更进一步，我们将提出的本地算法与非常有限数量的转换器的中心优化相结合。我们建议的混合方法的沟通和计算要求比传统方法要低得多，而在沟通失败的情况下，它们也提供了绩效保证。我们在四个不同大小的网络中演示了我们的算法：一个5总线网络，一个IEEE 141-BUS系统，一个真正的丹麦分销系统和一个网状IEEE 30-BUS系统。
Distribution grids are experiencing a massive penetration of fluctuating distributed energy resources (DERs). As a result, the real-time efficient and secure operation of distribution grids becomes a paramount problem. While installing smart sensors and enhancing communication infrastructure improves grid observability, it is computationally impossible for the distribution system operator (DSO) to optimize setpoints of millions of DER units. This paper proposes communication-free and model-free algorithms that can actively control converter-connected devices, and can operate either as stand-alone or in combination with centralized optimization algorithms. We address the problem of loss minimization in distribution grids, and we analytically prove that our proposed algorithms reduce the total grid losses without any prior information about the network, requiring no communication, and based only on local measurements. Going a step further, we combine our proposed local algorithms with a central optimization of a very limited number of converters. The hybrid approaches we propose have much lower communication and computation requirement than traditional methods, while they also provide performance guarantees in case of communication failure. We demonstrate our algorithms in four networks of varying sizes: a 5-bus network, an IEEE 141-bus system, a real Danish distribution system, and a meshed IEEE 30-bus system.
