Distributed Optimal Energy Management in Microgrids
Distributed Optimal Energy Management in Microgrids
复制标题
DOI：
10.1109/tsg.2014.2373150
复制
发表时间：
2015-05
影响因子：
9.6
通讯作者：
Wenbo Shi;Xiaorong Xie;C. Chu;R. Gadh
中科院分区：
文献类型：
--
作者：
Wenbo Shi;Xiaorong Xie;C. Chu;R. Gadh
微电网中的能量管理通常被表述为一个非线性优化问题。以集中的方式解决这个问题不仅需要微电网中央控制器（MGCC）的高计算能力，而且可能侵犯客户隐私。另一方面，现有的分布式方法假设所有代和负载都连接到一个母线上，而忽略了底层配电网络以及相关的潮流和系统运行约束。因此，这些算法产生的调度可能违反这些约束，因此在实践中是不可行的。因此，本文的重点是在考虑配电网及其约束的情况下，设计一种分布式能源管理策略（EMS）来实现微电网的优化运行。具体而言，我们将微网能量管理问题表述为最优潮流问题，并提出了一种由MGCC和本地控制器共同计算最优调度的分布式EMS。我们还提供了一个基于IEC 61850的分布式EMS的实现。作为一个示范，我们将提出的分布式EMS应用于中国广东省的一个实际微电网，该微电网由光伏发电、风力涡轮机、柴油发电机和电池储能系统组成。仿真结果证明了该算法的有效性和快速收敛性。
Energy management in microgrids is typically formulated as a nonlinear optimization problem. Solving it in a centralized manner does not only require high computational capabilities at the microgrid central controller (MGCC), but may also infringe customer privacy. Existing distributed approaches, on the other hand, assume that all generations and loads are connected to one bus, and ignore the underlying power distribution network and the associated power flow and system operational constraints. Consequently, the schedules produced by those algorithms may violate those constraints and thus are not feasible in practice. Therefore, the focus of this paper is on the design of a distributed energy management strategy (EMS) for the optimal operation of microgrids with consideration of the distribution network and the associated constraints. Specifically, we formulate microgrid energy management as an optimal power flow problem, and propose a distributed EMS where the MGCC and the local controllers jointly compute an optimal schedule. We also provide an implementation of the proposed distributed EMS based on IEC 61850. As one demonstration, we apply the proposed distributed EMS to a real microgrid in Guangdong Province, China, consisting of photovoltaics, wind turbines, diesel generators, and a battery energy storage system. The simulation results demonstrate the effectiveness and fast convergence of the proposed distributed EMS.