Determination of DG Allocation for Minimizing Annual Grid Energy Transaction

The integration of distributed generation (DG) units in power distribution network has become progressively imperative in recent years. The main goal of this paper is to decide the optimal number, size and location of DG units to reduce annual grid energy transaction. An optimal DG placement (ODGP) denotes obtaining the best possible location of the DG along with its size on the transmission line without causing any disturbance to the system. Optimal integration of DG in distribution grid is one of the important and effective options. Optimal allocation with a suitable sizing of DG units plays an efficient role in terms of improving voltage profile and power quality, reduce flows and system losses. The implemented technique is based on particle swarm optimization (PSO) for optimal allocation of DG unit in power systems. The proposed algorithm has been tested on IEEE 33 bus standard radial distribution system (DS) in MATLAB programming environment.

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

[2]  D. Singh,et al.  Effect of Load Models in Distributed Generation Planning , 2007, IEEE Transactions on Power Systems.

[3]  Ruben Romero,et al.  Optimal Capacitor Placement in Radial Distribution Networks , 2001 .

[4]  D. Singh,et al.  Multiobjective Optimization for DG Planning With Load Models , 2009, IEEE Transactions on Power Systems.

[5]  M. F. AlHajri,et al.  Improved Sequential Quadratic Programming Approach for Optimal Distribution Generation Deployments via Stability and Sensitivity Analyses , 2010 .

[6]  John Douglas.  Solving problems of power quality , 1993 .

[7]  Rajesh Kumar,et al.  A study on inertia weight schemes with modified particle swarm optimization algorithm for multiple sequence alignment , 2013, 2013 Sixth International Conference on Contemporary Computing (IC3).

[8]  Ali Abur,et al.  CAPACITOR PLACEMENT IN UNBALANCED POWER SYSTEMS , 2002 .

[9]  R. Jabr,et al.  Ordinal optimisation approach for locating and sizing of distributed generation , 2009 .

[10]  H. L. Willis,et al.  Analytical methods and rules of thumb for modeling DG-distribution interaction , 2000, 2000 Power Engineering Society Summer Meeting (Cat. No.00CH37134).

[11]  Suneet Singh,et al.  Optimal Sizing of Distributed Generation Placed on Radial Distribution Systems , 2010 .

[12]  Rajesh Kumar,et al.  A novel two-level particle swarm optimization approach for efficient multiple sequence alignment , 2015, Memetic Comput..

[13]  Lingfeng Wang,et al.  Reliability-Constrained Optimum Placement of Reclosers and Distributed Generators in Distribution Networks Using an Ant Colony System Algorithm , 2008, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[14]  J.W. Bialek,et al.  Direct incorporation of fault level constraints in optimal power flow as a tool for network capacity analysis , 2005, IEEE Transactions on Power Systems.

[15]  M. M. Aman,et al.  A new approach for optimum DG placement and sizing based on voltage stability maximization and minimization of power losses , 2013 .

[16]  Swapan Kumar Goswami,et al.  Optimum allocation of distributed generations based on nodal pricing for profit, loss reduction, and voltage improvement including voltage rise issue , 2010 .

[17]  Russell C. Eberhart,et al.  A new optimizer using particle swarm theory , 1995, MHS'95. Proceedings of the Sixth International Symposium on Micro Machine and Human Science.

[18]  R.K. Singh,et al.  Optimal siting and sizing of distributed generations in radial and networked systems considering different voltage dependent static load models , 2008, 2008 IEEE 2nd International Power and Energy Conference.

[19]  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.

[20]  A. M. El-Zonkoly,et al.  Optimal placement of multi-distributed generation units including different load models using particle swarm optimization , 2011, Swarm Evol. Comput..

[21]  Jiuping Pan,et al.  Siting distributed generation to defer T&D expansion , 2001, 2001 IEEE/PES Transmission and Distribution Conference and Exposition. Developing New Perspectives (Cat. No.01CH37294).

[22]  Yasuhiro Hayashi,et al.  Application of tabu search to optimal placement of distributed generators , 2001, 2001 IEEE Power Engineering Society Winter Meeting. Conference Proceedings (Cat. No.01CH37194).

[23]  M. Salama,et al.  Capacitor allocation by approximate reasoning: fuzzy capacitor placement , 2000 .

[24]  A. Keane,et al.  Optimal allocation of embedded generation on distribution networks , 2005, IEEE Transactions on Power Systems.

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

[26]  N. S. Rau,et al.  Optimum location of resources in distributed planning , 1994 .

[27]  Luis Ochoa,et al.  Minimizing Energy Losses: Optimal Accommodation and Smart Operation of Renewable Distributed Generation , 2011, IEEE Transactions on Power Systems.