Optimal Location of WT based Distributed Generation in Pool based Electricity Market using Mixed Integer Non Linear Programming

Abstract In this paper, analysis a Mixed Integer Nonlinear Programming (MINLP) approach has been utilized for determining optimal location and number of distributed generators considering minimization of fuel cost of conventional and Wind turbine power. The pattern of nodal real and reactive power prices have been obtained with and without Wind turbine integration. The results are also obtained for, loss reduction, fuel cost saving and voltage profile. The impact of different load models as PQ load and Zip load model has been studied. The proposed MINLP based optimization approach has been applied for IEEE24 bus reliability test system.

[1]  Mihail Abrudean,et al.  Effects of Distributed Generation on Electric Power Systems , 2014 .

[2]  M.H. Moradi,et al.  A combination of Genetic Algorithm and Particle Swarm Optimization for optimal DG location and sizing in distribution systems , 2010, 2010 Conference Proceedings IPEC.

[3]  A. K. Singh,et al.  Allocation of distributed generation using proposed DMSP approach based on utility and customers aspects under deregulated environment , 2015 .

[4]  Ranjit Roy,et al.  Economic analysis of unit commitment with distributed energy resources , 2015 .

[5]  Faruk Ugranli,et al.  Multiple-distributed generation planning under load uncertainty and different penetration levels , 2013 .

[6]  Kyung Bin Song,et al.  Multiobjective distributed generation placement using fuzzy goal programming with genetic algorithm , 2008 .

[7]  Nikos D. Hatziargyriou,et al.  Integrating distributed generation into electric power systems: A review of drivers, challenges and opportunities , 2007 .

[8]  Antonio José Gil Mena,et al.  Optimal distributed generation location and size using a modified teaching–learning based optimization algorithm , 2013 .

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

[10]  G.A. Jimenez-Estevez,et al.  A Competitive Market Integration Model for Distributed Generation , 2007, IEEE Transactions on Power Systems.

[11]  William Rosehart,et al.  Optimal Placement of Distributed Generation , 2002 .

[12]  A. Y. Chikhani,et al.  A simplified network approach to the VAr control problem for radial distribution systems , 1993 .

[13]  T. K. Saha,et al.  Novel mixed-integer method to optimize distributed generation mix in primary distribution systems , 2011, AUPEC 2011.

[14]  Hieu Trinh,et al.  An Approach for Wind Power Integration Using Demand Side Resources , 2013, IEEE Transactions on Sustainable Energy.

[15]  Dheeraj Kumar Khatod,et al.  Optimal planning of distributed generation systems in distribution system: A review , 2012 .

[16]  Manish Kumar,et al.  Wind Speed Variation Impact on Transmission Loss Reduction in Electricity Market , 2015 .

[17]  Sakti Prasad Ghoshal,et al.  Optimal sizing and placement of distributed generation in a network system , 2010 .

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

[19]  Samuel T. Ariaratnam,et al.  Optimal Allocation of CHP-Based Distributed Generation on Urban Energy Distribution Networks , 2014, IEEE Transactions on Sustainable Energy.

[20]  Ashwani Kumar,et al.  Comparison of optimal DG allocation methods in radial distribution systems based on sensitivity approaches , 2013 .

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

[22]  Tongdan Jin,et al.  Multicriteria Planning for Distributed Wind Generation Under Strategic Maintenance , 2013, IEEE Transactions on Power Delivery.

[23]  Samuel T. Ariaratnam,et al.  Network Capacity Assessment of Combined Heat and Power-Based Distributed Generation in Urban Energy Infrastructures , 2013, IEEE Transactions on Smart Grid.

[24]  A. Kusiak,et al.  Virtual Models for Prediction of Wind Turbine Parameters , 2010, IEEE Transactions on Energy Conversion.

[25]  Mohammad Reza Mohammadi,et al.  Optimal placement of multitypes DG as independent private sector under pool/hybrid power market using GA-based Tabu Search method , 2013 .

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

[27]  Mahmoud-Reza Haghifam,et al.  DG allocation with application of dynamic programming for loss reduction and reliability improvement , 2011 .

[28]  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).

[29]  Noel N. Schulz,et al.  Impact of distributed generation on distribution contingency analysis , 2008 .

[30]  A. Lashkar Ara,et al.  A hybrid of ant colony optimization and artificial bee colony algorithm for probabilistic optimal placement and sizing of distributed energy resources , 2015 .

[31]  S. Saadate,et al.  An Approach to Distribution System Planning by Implementing Distributed Generation in a Deregulated Electricity Market , 2007, 2007 Large Engineering Systems Conference on Power Engineering.

[32]  R. E. Abdel-Aal,et al.  Modeling and forecasting the mean hourly wind speed time series using GMDH-based abductive networks , 2009 .

[33]  Gevork B. Gharehpetian,et al.  Long term scheduling for optimal allocation and sizing of DG unit considering load variations and DG type , 2014 .

[34]  Rene Prenc,et al.  Distributed generation allocation based on average daily load and power production curves , 2013 .

[35]  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).

[36]  Nadarajah Mithulananthan,et al.  Optimal DG placement in deregulated electricity market , 2007 .

[37]  Ahmad Reza Malekpour,et al.  Optimal Allocation of Distributed Generations and Remote Controllable Switches to Improve the Network Performance Considering Operation Strategy of Distributed Generations , 2011 .

[38]  Juan A. Martinez,et al.  A Parallel Monte Carlo Method for Optimum Allocation of Distributed Generation , 2014, IEEE Transactions on Power Systems.

[39]  Ehab F. El-Saadany,et al.  Probabilistic approach for optimal allocation of wind-based distributed generation in distribution systems , 2011 .

[40]  Maurizio Delfanti,et al.  Dispersed generation impact on distribution network losses , 2013 .

[41]  Mohammad Shahidehpour,et al.  The IEEE Reliability Test System-1996. A report prepared by the Reliability Test System Task Force of the Application of Probability Methods Subcommittee , 1999 .