Optimization of stochastic lossy transport networks and applications to power grids
Optimization of stochastic lossy transport networks and applications to power grids
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DOI：
10.1287/stsy.2019.0063
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发表时间：
2017-12
期刊：
影响因子：
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通讯作者：
Alessandro Zocca;B. Zwart
中科院分区：
文献类型：
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作者：
Alessandro Zocca;B. Zwart
受可再生能源和智能电网发展的启发，我们建立了一个具有随机负荷波动的交通网络的程式化数学模型。使用仿射控制规则，我们探讨了在一个有损传输网络的可控资源的数量和性能增益，他们在预期的功率损耗方面产生的权衡。我们的研究结果是明确的，并揭示了灵活性水平，内在的负载不确定性和网络结构之间的相互作用。
Motivated by developments in renewable energy and smart grids, we formulate a stylized mathematical model of a transport network with stochastic load fluctuations. Using an affine control rule, we explore the trade-off between the number of controllable resources in a lossy transport network and the performance gain they yield in terms of expected power losses. Our results are explicit and reveal the interaction between the level of flexibility, the intrinsic load uncertainty, and the network structure.