Beyond Relaxation and Newton–Raphson: Solving AC OPF for Multi-Phase Systems With Renewables
Beyond Relaxation and Newton–Raphson: Solving AC OPF for Multi-Phase Systems With Renewables
复制标题
超越弛豫和牛顿-拉夫逊：解决可再生能源多相系统的交流 OPF
DOI：
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发表时间：
2016
影响因子：
9.6
通讯作者：
E. Dall’Anese
中科院分区：
文献类型：
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作者：
Ahmed S. Zamzam;N. Sidiropoulos;E. Dall’Anese
本文主要研究多相系统的交流最优潮流问题。特别强调高度集成可再生能源的系统，其中有必要调整可再生能源的实际输出功率和无功输出功率，以执行电压调节。AC最优潮流问题是已知的非凸的(实际上是NP-难的)。最近，人们利用凸松弛技术来解决计算负担较小的最优潮流问题，然而，这些松弛的紧性的充分条件仅适用于有限类的系统拓扑和问题设置。在更一般的问题描述中，确定可行的潮流解决方案仍然很困难，特别是在具有可再生能源的不平衡多相系统中。为了在现有方法失效的挑战性场景中寻找可行和最优的AC OPF解，本文利用了求解一般非凸二次约束二次规划的强大算法--可行点追踪-逐次凸逼近算法。以可再生能源的单相和多相配电网以及几个输电系统为例说明了该方法的优点。
This paper focuses on the AC Optimal Power Flow (OPF) problem for multi-phase systems. Particular emphasis is given to systems with high integration of renewables, where adjustments of the real and reactive output powers from renewable sources of energy are necessary in order to enforce voltage regulation. The AC OPF problem is known to be nonconvex (and, in fact, NP-hard). Convex relaxation techniques have been recently explored to solve the OPF task with reduced computational burden; however, sufficient conditions for tightness of these relaxations are only available for restricted classes of system topologies and problem setups. Identifying feasible power-flow solutions remains hard in more general problem formulations, especially in unbalanced multi-phase systems with renewables. To identify feasible and optimal AC OPF solutions in challenging scenarios where existing methods may fail, this paper leverages the Feasible Point Pursuit - Successive Convex Approximation algorithm—a powerful approach for general nonconvex quadratically constrained quadratic programs. The merits of the approach are illustrated using single- and multi-phase distribution networks with renewables, as well as several transmission systems.