Volt/VAr Optimization of Distribution System with Integrated Distributed Generation.

MARIAM MUGHEES; Fahim Gohar Awan; ANAM MUGHEES

Author(s)

MARIAM MUGHEES Centre of Energy Research & Development, University of Engineering & Technology, Lahore, Pakistan

Fahim Gohar Awan Department of Electrical Engineering, University of Engineering & Technology, Lahore,

ANAM MUGHEES Centre of Energy Research & Development, University of Engineering & Technology, Lahore, Pakistan

Abstract

This paper addresses the issues of VVO (Volt/VAr Optimization) such as loss minimization, acceptable voltage profiles and optimized number of switching operations. Basic function of the DMS (Distribution Management System) is to upgrade system intelligence so that it can make dynamic decisions and control the network in realtime. Distributed generators can cause the system to operate above and below the desired limits due to their variable nature. Therefore, devices like SC (Shunt Capacitors) and OLTC (On Load Tap Changers) are used in distribution system as control devices. Main focus of this paper is to inspect effects of DG (Distributed Generation) on switching states of control devices while considering Volt/VAr standards. An optimization search algorithm is employed to search the optimal solution considering the system constraints. The GA (Genetic Algorithm) is used for the optimization process of the system and the simulation is done in MATLAB using IEEE-30 bus system with DG under 24 hour changing load profiles. By setting up constraints of distribution system's voltage limits, capacitor bank and OLTC, losses are minimized up to 50%. Merits of the proposed optimized method are demonstrated through simulation results .The result achieved from the proposed technique has proven to be beneficial for switching optimization of control devices under variant conditions of loads and distributed generation.

Publication Details

Page(s) 117-128

DOI DOI not available

Published Journal: Mehran University Research Journal of Engineering and Technology, Volume: 36, Issue: 1, Year: 2017

Request the full text from PASTIC

References

Devriese , G.,Shariatzadeh , F.,Srivastava , A.K.,KS,,2013,Volt/ VAr Optimization with Energy Savings for Distribution System using Intelligent Control”,North American Power Symposium,,1-6

Genc , M.J.K.A.S. “,O'Farrell Street,July,,2011,A Coordinated Optimization Approach to Volt/VAr Control for Large Power Distribution Networks”,,,-

McFetridge , B.,Stephens , B.,-,StoneMountain,GA,,2013,Can a Grid be Smart without Communications? A Look at IVVC Implementation”,IEEE Conference on Rural Electric Power,,A2-

Liu , Y.,P. , and Qiu,X.,,2002,,International Journal of Electrical Power & Energy Systems,24,271-276

Villacci , D.,Bontempi , G.,Vaccaro,,2006,An Adaptive Local Learning-Based Methodology for Voltage Regulation in Distribution Networks with Dispersed Generation”,IEEE Transactions on Power Systems,21,1131-1140

Pilo , F.,Pisano , G.,Soma , G.G.,,2011,“Optimal Coordination of Energy Resources with a Two-Stage Online Active Management”,IEEE Transactions on Industrial Electronics,58,4526-4537

Paaso , E.A.,Liao , Y.,Cramer , A.M.,,2014,Formulation and Solution of Distribution System Voltage and VAR Control with Distributed Generation as a Mixed Integer Nonlinear Programming Problem”,Electric Power Systems Research,108,164-169

Jiang , F.,Zhang , Z.,Cao , T.,Hu , B.,Piao , Z.,,2013,Impact of Distributed Generation on Voltage Profile and Losses of Distribution Systems”,,,8587-8591

Balamurugan , K.,Srinivasan , D.,Reindl , T.,EnergyProcedia,,2012,Impact of Distributed Generation on Power Distribution Systems”,,25,93-100

,2007,“Information-Guided Genetic Algorithm Approach to the Solution of MINLP Problems”,,46,1527-1537

Costa , L.,Oliveira , P.,Engineering,,2001,Evolutionary Algorithms Approach to the Solution of Mixed Integer Nonlinear Programming Problems”,,25,257-266

Michalewicz , P.S.Z.,Pibouleau , P.S.D.L.,,2013,“Some Guidelines for Genetic Algorithm Implementation in MINLP Batch Plant Design Problems”,Advances in Metaheuristics for Hard Optimization,,295-315

Man , K.F.,Tang , K.S.,Kwong , S.,,1996,Genetic Algorithms: Concepts and Applications,IEEE Transactions on Industrial Electronics,43,519-534

Yin-Xiu , L.,Gen , M.,,1996,Nonlinear Mixed Integer Programming Problems using Genetic Algorithm and Penalty Function”,IEEE International Conference on Systems, Man, and Cybernetics,4,2677-2682

Borghetti , A.,,2013,Using Mixed Integer Programming for the Volt/Var Optimization in Distribution Feeders”,Electric Power Systems Research,98,39-50

Abdelsalam , A.A.,Zidan , A.A.,El-Saadany , E.F.,,2015,“Optimal DG Allocation in Radial Distribution Systems with High Penetration of Nonlinear Loads”,Electric Power Components and Systems,43,1487-1497

January,Akorede , M.F.,Hizam,KualaLumpur,,2009,“Teaching Power System Analysis Courses using MATPOWER”,,36,45-51

Yokota , T.,Gen , M.,,1994,Solving for Nonlinear Integer Programming Problem using Genetic Algorithm and its Application”,Information and Technology,2,1602-1609

Atwa , Y.M.,El-Saadany , E.F.,Salama , M.M.A.,Seethapathy,,2010,Optimal Renewable Resources Mix for Distribution System Energy Loss Minimization”,IEEE Transactions on Power Systems,25,360-370

Yue , Y.,Kejun , Q.,Chengke , Z.,,2007,The Optimal Location and Penetration Level of Distributed Generation”,,,917-923