Optimum capacity allocation of DG units based on unbalanced three-phase optimal power flow

In this paper, a methodology for determining optimum generation capacity of multiple distributed generation (DG) units is presented. The proposed method is based on unbalanced three-phase optimal power flow (TOPF) using particle swarm intelligence. To solve the optimum generation capacity problem, a co-simulation platform has been used under the MATLAB and OpenDSS environment. An adaptive weight particle swarm optimization algorithm has been developed in MATLAB and the unbalanced three-phase distribution load flow (DLF) has been performed using Electric Power Research Institute's (EPRI) open source tool OpenDSS. The analysis is carried out on IEEE 123 node distribution test feeder for three different DG technologies. The results obtained from the proposed method have been compared with the results obtained from a `brute-force search' method. This analysis shows that the proposed method finds out the optimum solution successfully while computational complexity and time is reduced extensively. Using multiple DG units with optimum generation capacity, power loss of the network is reduced significantly while voltage profile remains within stability margin.

[1]  Andries P. Engelbrecht,et al.  Computational Intelligence: An Introduction , 2002 .

[2]  L.A.F. Ferreira,et al.  Distributed Reactive Power Generation Control for Voltage Rise Mitigation in Distribution Networks , 2008, IEEE Transactions on Power Systems.

[3]  Carmen L. T. Borges,et al.  Optimal distributed generation allocation for reliability, losses, and voltage improvement , 2006 .

[4]  Ishak Aris,et al.  Effective method for optimal allocation of distributed generation units in meshed electric power systems , 2011 .

[5]  Yue Shi,et al.  A modified particle swarm optimizer , 1998, 1998 IEEE International Conference on Evolutionary Computation Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98TH8360).

[6]  Nadarajah Mithulananthan,et al.  Analytical Expressions for DG Allocation in Primary Distribution Networks , 2010, IEEE Transactions on Energy Conversion.

[7]  Mahmud Fotuhi-Firuzabad,et al.  Distribution system reliability enhancement using optimal capacitor placement , 2008 .

[8]  R. Ramakumar,et al.  An approach to quantify the technical benefits of distributed generation , 2004, IEEE Transactions on Energy Conversion.

[9]  M. A. Abido,et al.  Optimal power flow using particle swarm optimization , 2002 .

[10]  H Lee Willis,et al.  Power distribution planning reference book , 2000 .

[11]  A. Akbarimajd,et al.  A New Method for Placement of DG Units in Distribution Networks , 2006, 2006 IEEE PES Power Systems Conference and Exposition.

[12]  Kalyanmoy Deb,et al.  Optimization for Engineering Design: Algorithms and Examples , 2004 .

[13]  C.E. Zoumas,et al.  Comparison of two metaheuristics with mathematical programming methods for the solution of OPF , 2005, Proceedings of the 13th International Conference on, Intelligent Systems Application to Power Systems.

[14]  M. O'Malley,et al.  Optimal Utilization of Distribution Networks for Energy Harvesting , 2007, IEEE Transactions on Power Systems.

[15]  Andrew Keane,et al.  Integration of Distributed Generation , 2007 .

[16]  M. E. El-Hawary,et al.  Optimal Distributed Generation Allocation and Sizing in Distribution Systems via Artificial Bee Colony Algorithm , 2011, IEEE Transactions on Power Delivery.

[17]  J. Bebic,et al.  Distribution System Voltage Performance Analysis for High-Penetration Photovoltaics , 2008 .

[18]  Jung-Wook Park,et al.  Selection of Optimal Location and Size of Multiple Distributed Generations by Using Kalman Filter Algorithm , 2009, IEEE Transactions on Power Systems.

[19]  Amany El-Zonkoly,et al.  Optimal placement of multi-distributed generation units including different load models using particle swarm optimisation , 2011 .

[20]  C. L. Masters.  Voltage rise: the big issue when connecting embedded generation to long 11 kV overhead lines , 2002 .

[21]  Salman Mohagheghi,et al.  Particle Swarm Optimization: Basic Concepts, Variants and Applications in Power Systems , 2008, IEEE Transactions on Evolutionary Computation.

[22]  William Kersting,et al.  Distribution System Modeling and Analysis , 2001, Electric Power Generation, Transmission, and Distribution: The Electric Power Engineering Handbook.

[23]  T.E. McDermott.  Working group on recommended practice for distribution system analysis — P1729 , 2008, 2008 IEEE Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century.

[24]  Nadarajah Mithulananthan,et al.  AN ANALYTICAL APPROACH FOR DG ALLOCATION IN PRIMARY DISTRIBUTION NETWORK , 2006 .

[25]  J.R. Abbad,et al.  Assessment of energy distribution losses for increasing penetration of distributed generation , 2006, IEEE Transactions on Power Systems.

[26]  R.C. Dugan,et al.  Recommended Practices for Distribution System Analysis , 2006, 2006 IEEE PES Power Systems Conference and Exposition.

[27]  R. C. Dugan,et al.  The IEEE 8500-node test feeder , 2010, IEEE PES T&D 2010.

[28]  Silvia Lamonaca,et al.  Unbalanced Three-Phase Optimal Power Flow for Smart Grids , 2011, IEEE Transactions on Industrial Electronics.

[29]  Tamara G. Kolda,et al.  Optimization by Direct Search: New Perspectives on Some Classical and Modern Methods , 2003, SIAM Rev..

[30]  Yuhui Shi,et al.  Particle swarm optimization: developments, applications and resources , 2001, Proceedings of the 2001 Congress on Evolutionary Computation (IEEE Cat. No.01TH8546).