Hierarchical Distributed Mixed-Integer Optimization for Reactive Power Dispatch

作     者：Murray, Alexander Engelmann, Alexander Hagenmeyer, Veit Faulwasser, Timm 

作者机构：Institute for Automation and Applied Informatics Karlsruhe Institute of Technology Karlsruhe Germany 

出 版 物：《IFAC-PapersOnLine》 

年 卷 期：2018年第51卷第28期

页      面：368-373页

核心收录：

主　　题：Electric load dispatching Concurrency control Constrained optimization Electric load flow Genetic algorithms Integer programming Particle swarm optimization (PSO) Reactive power Voltage regulators Alternating directions Distributed approaches Distributed optimization Mixed integer optimization Mixed integer problems Optimal power flows Power system operations Reactive power dispatch 

摘      要：One 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. © 2018