Coordinated Voltage Control via Distributed Model Predictive Control
作者单位：SYSTeMS Research GroupDepartment of Electrical energysystems and automationUniversity of Ghent Indian Institute of Technology Roorkee
会议名称：《2011 Chinese Control and Decision Conference（CCDC）》
会议日期：2011年
学科分类：080802[工学-电力系统及其自动化] 0808[工学-电气工程] 08[工学]
基 金：supported by the Special Research Fund at Ghent University (BOF) B/06484/01 This paper presents research results of the Belgian Network DYSCO (Dynamical Systems, Control, and Optimization), funded by the Interuniversity Attraction Poles Programme,initiated by the Belgian State,Science Policy Office EUFP7 project CON4COORD
关 键 词：Coordinated voltage control LTC OXL Distributed MPC
摘 要：Over the past decades many voltage collapse incidents have occurred,caused by uncoordinated interactions of local controllers,following a major disturbance in electric power system operating closer and closer to their safety *** most voltage control schemes are rule-based and only rely on local *** the availability of wide-area phasor measurements （WAMS/PMU） suggests that the risk of voltage collapse could be reduced by coordinating control actions in neighboring control regions of the *** paper shows how distributed model predictive control （MPC） can be used in order to design such a coordinating *** control agents carry out an on-line optimization by comparing the plant behavior over a finite window in time,for different possible switching sequences of the local tap changing transformer （LTC）.The evolution of the plant behavior is obtained by a fast Modelica simulation of the hybrid systems model,using information on the tap switching sequences that neighboring control regions are planning to implement on their *** simulation of a 12-bus power system this paper shows that the distributed MPC controllers can prevent,or at least postpone,voltage collapse in circumstances where classical uncoordinated controllers *** required communication exchange is very limited,making practical applications *** extensions to larger systems will require consideration of modeling abstractions of neighboring control regions,so as to keep the simulation time for each local decision maker short.