文章基本信息

标题：Hierarchical Distributed Mixed-Integer Optimization for Reactive Power Dispatch
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作者：Alexander Murray ; Alexander Engelmann ; Veit Hagenmeyer 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2018
卷号：51
期号：28
页码：368-373
DOI：10.1016/j.ifacol.2018.11.730
语种：English
出版社：Elsevier
摘要：AbstractOne key aspect of power system operation is the minimization of line losses while maintaining voltages within certain limits. Doing so can be achieved through the use of voltage regulators, tap changing transformers, and shunt capacitors. However, both tap changing transformers and/or shunt capacitors are operated in a discrete manner, i.e. the inputs can only take finitely many discrete values. Thus, the problem of minimizing line losses while maintaining voltage stability can be cast as a mixed-integer optimization problem. For large grids or cases where independent entities have concurrent control of the system, distributed optimization provides a solution. The present paper discusses a hierarchically distributed approach; i.e. the problem is partitioned into local subproblems and solved using a mixed-integer extension of the Augmented Lagrangian based Alternating Direction Inexact Newton (ALADIN) algorithm. We present results for the IEEE 14- and 30-bus systems and compare them with previous approaches, such as particle swarm optimization and genetic algorithms.
关键词：KeywordsHierarchical Distributed OptimizationMixed-Integer ProblemsOptimal Power FlowReactive Power Dispatch