论文标题
双向优化用于耦合微电网内的负载形状
Bidirectional Optimisation for Load Shaping within Coupled Microgrids
论文作者
论文摘要
我们解决了在双重优化框架中耦合微电网（MGS）网络中负载成型的问题。为此，我们将下层每个毫克内住宅储能设备的住宅储能设备的充电/放电速率以及上层相邻MG之间的电力交换为优化变量。我们改进了先前开发的模型，使得交换的功率的最大量不取决于功率需求，从而提高网络内部的灵活性，并相应地调整相应的双向优化方案。为了效率，标准分布式优化例程用于较低级别的优化；上层的电力交换问题被平行的小规模二次编程所取代。我们证明了优化方案的全球收敛性，并在基于现实世界数据的数值案例研究中说明了该方法的潜力。
We address the problem of load shaping within a network of coupled microgrids (MGs) in a bilevel optimisation framework. To this end, we consider the charging/discharging rates of residential energy storage devices within each MG on the lower level and the power exchange among neighbouring MGs on the upper level as optimisation variables. We improve a previously developed model such that the maximal amount of exchanged power does not depend on the power demand, thus, increasing the flexibility within the network, and adapt the corresponding bidirectional optimisation scheme accordingly. For efficiency, standard distributed optimisation routines are used for the optimisation on the lower level; the power exchange problem on the upper level is replaced by parallelisable small-scale quadratic programmings. We prove global convergence of the optimisation scheme and illustrate the potential of the approach in a numerical case study based on real-world data.
