Planning of different types of distributed generation with seasonal mixed load models

The comparison of different types of distributed generation (DG) may help for appropriate selection of type of DG for distributed generation planning (DGP) in distribution system for various load scenario. The load on each bus of distribution system may be, in practice, the composition of industrial, residential, and commercial types of load which may also vary with seasonal day, and night. Therefore, in this paper the seasonal mixed load models at each bus are assumed and study is carried out with bus voltage and line power capacity limits for different types of DG using incremental power flow and exhaustive search method as deterministic approach. This analysis shows that mixed load model, types of DG, and power factor of DG have significant impact on size and location of DG.

[1]  J.W. Bialek,et al.  Optimal power flow as a tool for fault level-constrained network capacity analysis , 2005, IEEE Transactions on Power Systems.

[2]  Ronnie Belmans,et al.  Distributed generation: definition, benefits and issues , 2005 .

[3]  C. W. Taylor,et al.  Load representation for dynamic performance analysis , 1993 .

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

[5]  V. Kumar,et al.  DG Integrated Approach for Service Restoration Under Cold Load Pickup , 2010, IEEE Transactions on Power Delivery.

[6]  Gareth Harrison,et al.  Network Distributed Generation Capacity Analysis Using OPF With Voltage Step Constraints , 2010 .

[7]  K. Bhattacharya,et al.  Disco Operation Considering DG Units and Their Goodness Factors , 2009, IEEE Transactions on Power Systems.

[8]  M.M.A. Salama,et al.  An integrated distributed generation optimization model for distribution system planning , 2005, IEEE Transactions on Power Systems.

[9]  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.

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

[11]  Lennart Söder,et al.  Distributed generation : a definition , 2001 .

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

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

[14]  Pierluigi Siano,et al.  Hybrid GA and OPF evaluation of network capacity for distributed generation connections , 2008 .

[15]  D. Zhu,et al.  Impact of DG placement on reliability and efficiency with time-varying loads , 2006, IEEE Transactions on Power Systems.

[16]  Magdy M. A. Salama,et al.  Distributed generation technologies, definitions and benefits , 2004 .

[17]  L.F. Ochoa,et al.  Network Distributed Generation Capacity Analysis Using OPF With Voltage Step Constraints , 2008, IEEE Transactions on Power Systems.

[18]  Asheesh K. Singh,et al.  Review of distributed generation planning: objectives, constraints, and algorithms , 2011 .

[19]  T. Gozel,et al.  Optimal placement and sizing of distributed generation on radial feeder with different static load models , 2005, 2005 International Conference on Future Power Systems.

[20]  L.F. Ochoa,et al.  Time-series based maximization of distributed wind power generation integration , 2012 .

[21]  Yue Yuan,et al.  Effect of load models on assessment of energy losses in distributed generation planning , 2011 .

[22]  E.F. El-Saadany,et al.  Optimal Renewable Resources Mix for Distribution System Energy Loss Minimization , 2010, IEEE Transactions on Power Systems.

[23]  Wenzhong Gao,et al.  Optimal distributed generation location using mixed integer non-linear programming in hybrid electricity markets , 2010 .