Dynamic Power Distribution System Management With a Locally Connected Communication Network
Dynamic Power Distribution System Management With a Locally Connected Communication Network
复制标题
通过本地连接的通信网络进行动态配电系统管理
DOI：
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发表时间：
2018
期刊：
影响因子：
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通讯作者：
T. Başar
中科院分区：
文献类型：
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作者：
K. Zhang;Wei Shi;Hao Zhu;E. Dall’Anese;T. Başar
配电级资产的协同优化与控制，能够实现大量分布式能源（DERs）的可靠和优化整合，促进配电系统管理（DSM）。因此，目标是协调der的功率注入，以维持整个网络的某些数量，例如电压幅度，线路流量和线路损耗，以接近所需的轮廓。总的来说，DSM算法的性能受到两个因素的挑战：1)可能存在的非强连接的通信网络阻碍了协调；2)具有异构能力、时变运行条件和实时测量失配等因素对实际系统的动态影响。在本文中，我们研究了考虑这两个因素的建模和算法设计与分析。特别地，首先提出了一个博弈论的表征来解释局部连接的通信网络上的DERs，以及纳什均衡的存在性和唯一性的分析。为了实现分布式均衡，提出了一种基于投影梯度的异步DSM算法。在动态设置下，算法性能得到了解析保证，包括收敛速度和跟踪误差。对合成和实际情况的大量数值试验证实了所推导的分析结果。
Coordinated optimization and control of distribution-level assets enables a reliable and optimal integration of massive amount of distributed energy resources (DERs) and facilitates distribution system management (DSM). Accordingly, the objective is to coordinate the power injection at the DERs to maintain certain quantities across the network, e.g., voltage magnitude, line flows, and line losses, to be close to a desired profile. By and large, the performance of the DSM algorithms has been challenged by two factors: 1) the possibly nonstrongly connected communication network over DERs that hinders the coordination; and 2) the dynamics of the real system caused by the DERs with heterogeneous capabilities, time-varying operating conditions, and real-time measurement mismatches. In this paper, we investigate the modeling and algorithm design and analysis with the consideration of these two factors. In particular, a game-theoretic characterization is first proposed to account for a locally connected communication network over DERs, along with the analysis of the existence and uniqueness of the Nash equilibrium therein. To achieve the equilibrium in a distributed fashion, a projected-gradient-based asynchronous DSM algorithm is then advocated. The algorithm performance, including the convergence speed and the tracking error, is analytically guaranteed under the dynamic setting. Extensive numerical tests on both synthetic and realistic cases corroborate the analytical results derived.