Title :
Applying full MILP model to volt-var optimization problem for MV distribution networks
Author :
Rahimi, S. ; Massucco, Stefano ; Silvestro, Federico ; Hesamzadeh, M.R. ; Tohidi, Y.
Author_Institution :
Ventyx, ABB Co., Vasteras, Sweden
Abstract :
Volt/Var Optimization (VVO) function is a key element in advanced Distribution Management System (DMS) functionality. VVO function is designed to optimize the voltage and reactive power flow in distribution network by using possible control equipment such as transformer on-load tap changers (OLTC), Voltage Regulators (VR), and switching the Capacitor Banks. In this paper we use a full mixed integer linear programming (MILP) model for solving VVO problem for realtime application. The objective of this paper is to implement an MILP model for volt-var optimization function in a commercial solver GAMS (General Algebraic Modeling System) which has the capability to be used as framework for real-time applications. The implemented model has been tested on a real distribution network in southern Sweden and the results are presented.
Keywords :
distribution networks; integer programming; linear programming; load flow; on load tap changers; reactive power; voltage regulators; DMS; GAMS; MILP model; MV distribution networks; OLTC; VVO; capacitor banks; distribution management system; general algebraic modeling system; mixed integer linear programming model; reactive power flow; southern Sweden; transformer on-load tap changers; volt-var optimization problem; voltage regulators; Capacitors; Equations; Generators; Mathematical model; Optimization; Reactive power; Voltage control; Distribution systems; Mixed Integer Linear Programming (MILP); Volt/Var Optimization (VVO);
Conference_Titel :
Innovative Smart Grid Technologies Conference Europe (ISGT-Europe), 2014 IEEE PES
Conference_Location :
Istanbul
DOI :
10.1109/ISGTEurope.2014.7028854