Two-Timescale Stochastic Dispatch of Smart Distribution Grids
Two-Timescale Stochastic Dispatch of Smart Distribution Grids
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DOI：
10.1109/tsg.2017.2654220
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发表时间：
2016-08
影响因子：
9.6
通讯作者：
L. M. Lopez-Ramos;V. Kekatos;A. Marques;G. Giannakis
中科院分区：
文献类型：
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作者：
L. M. Lopez-Ramos;V. Kekatos;A. Marques;G. Giannakis
智能电网在进行电压调节的同时，应有效地整合随机可再生资源。能源管理是一个具有挑战性的问题，因为它是一个多阶段的问题，决策不是在同一时间尺度上做出的，而且必须考虑到实时运行中的可变性。本文研究了智能配电网中慢速和快速时标控制的联合调度问题。变电站电压、与主电网交换的能量以及小型柴油发电机的发电计划都必须在一个缓慢的时间尺度上决定；而光伏逆变器的最佳设定值是在更频繁的基础上找到的。虽然逆变器和更宽松的电压调节限制在任何时候都是强加的，但更严格的母线电压限制是在平均或概率上强制执行的，从而实现更有效的可再生集成。在将两阶段电网调度问题重新表述为随机凸凹问题的基础上，提出了两种无分布方案。一个平均调度算法通过一系列凸二次规划可证明地收敛于最优的两阶段决策。它的非凸概率选择需要解决两个稍微不同的凸问题，并且在数值上显示收敛。在现实世界的配电馈线上进行的数值测试验证了这两种方案都比竞争方案产生更低的成本。
Smart grids should efficiently integrate stochastic renewable resources while effecting voltage regulation. Energy management is challenging since it is a multistage problem where decisions are not all made at the same timescale and must account for the variability during real-time operation. The joint dispatch of slow- and fast-timescale controls in a smart distribution grid is considered here. The substation voltage, the energy exchanged with a main grid, and the generation schedules for small diesel generators have to be decided on a slow timescale; whereas optimal photovoltaic inverter setpoints are found on a more frequent basis. While inverter and looser voltage regulation limits are imposed at all times, tighter bus voltage constraints are enforced on the average or in probability, thus enabling more efficient renewable integration. Upon reformulating the two-stage grid dispatch as a stochastic convex-concave problem, two distribution-free schemes are put forth. An average dispatch algorithm converges provably to the optimal two-stage decisions via a sequence of convex quadratic programs. Its non-convex probabilistic alternative entails solving two slightly different convex problems and is numerically shown to converge. Numerical tests on real-world distribution feeders verify that both schemes yield lower costs over competing alternatives.