Optimal Allocation of Wind Turbines in Active Distribution Networks by Using Multi-Period Optimal Power Flow and Genetic Algorithms

In order to achieve an effective reduction of greenhouse gas emissions, the future electrical distribution networks will need to accommodate higher amount of renewable energy based distributed generation such as Wind Turbines.

[1]  Graham Ault,et al.  Active power-flow management utilising operating margins for the increased connection of distributed generation , 2007 .

[2]  W. El-khattam,et al.  Optimal investment planning for distributed generation in a competitive electricity market , 2004, IEEE Transactions on Power Systems.

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

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

[5]  M. Ilić,et al.  Optimal Distribution Service Pricing for Investment Planning , 2007, 2007 IEEE Power Engineering Society General Meeting.

[6]  Graham Ault,et al.  Fundamental research challenges for active management of distribution networks with high levels of renewable generation , 2004, 39th International Universities Power Engineering Conference, 2004. UPEC 2004..

[7]  A. Piccolo,et al.  Evaluating the Impact of Network Investment Deferral on Distributed Generation Expansion , 2009, IEEE Transactions on Power Systems.

[8]  Goran Strbac,et al.  Maximising penetration of wind generation in existing distribution networks , 2002 .

[9]  Math Bollen,et al.  Voltage control in distribution systems as a limitation of the hosting capacity for distributed energy resources , 2005 .

[10]  Goran Strbac,et al.  Measurement location for state estimation of distribution networks with generation , 2005 .

[11]  P. Djapic,et al.  Transmission Investment and Pricing in Systems with Significant Penetration of Wind Generation , 2007, 2007 IEEE Power Engineering Society General Meeting.

[12]  F. Pilo,et al.  Optimal participation of a microgrid to the energy market with an intelligent EMS , 2006, 2005 International Power Engineering Conference.

[13]  Pierluigi Siano,et al.  Assessing the strategic benefits of distributed generation ownership for DNOs , 2009 .

[14]  Haozhong Cheng,et al.  Technical and economic impacts of active management on distribution network , 2009 .

[15]  F. Pilo,et al.  A multiobjective evolutionary algorithm for the sizing and siting of distributed generation , 2005, IEEE Transactions on Power Systems.

[16]  Bill Howe,et al.  Creating tomorrow's intelligent electric power delivery system , 2005 .

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

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

[19]  J.R. McDonald,et al.  Active power flow management solutions for maximising DG connection capacity , 2006, 2006 IEEE Power Engineering Society General Meeting.

[20]  D. Das A fuzzy multiobjective approach for network reconfiguration of distribution systems , 2006, IEEE Transactions on Power Delivery.

[21]  G. Strbac,et al.  Active management and protection of distribution networks with distributed generation , 2004, IEEE Power Engineering Society General Meeting, 2004..

[22]  G.P. Harrison,et al.  Centralized and Distributed Voltage Control: Impact on Distributed Generation Penetration , 2007, IEEE Transactions on Power Systems.

[23]  A. Piccolo,et al.  Exploring the Tradeoffs Between Incentives for Distributed Generation Developers and DNOs , 2007, IEEE Transactions on Power Systems.

[24]  Gareth Harrison,et al.  Applying active network management schemes to an irish distribution network for wind power maximisation , 2009 .

[25]  J. Mutale Benefits of Active Management of Distribution Networks with Distributed Generation , 2006, 2006 IEEE PES Power Systems Conference and Exposition.

[26]  Gareth Harrison,et al.  MAXIMISATION OF INTERMITTENT DISTRIBUTED GENERATION IN ACTIVE NETWORKS , 2008 .

[27]  Kyu-Ho Kim,et al.  Dispersed generator placement using fuzzy-GA in distribution systems , 2002, IEEE Power Engineering Society Summer Meeting,.

[28]  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.

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

[30]  Stavros A. Papathanassiou,et al.  A review of grid code technical requirements for wind farms , 2009 .

[31]  A. R. Wallace,et al.  Optimal power flow evaluation of distribution network capacity for the connection of distributed generation , 2005 .

[32]  Stavros A. Papathanassiou,et al.  Short-circuit calculations in networks with distributed generation , 2008 .

[33]  Haozhong Cheng,et al.  Quantitive assessment of active management of distribution network with distributed generation , 2008, 2008 Third International Conference on Electric Utility Deregulation and Restructuring and Power Technologies.

[34]  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).

[35]  J. Mutale,et al.  Taking an active approach , 2007, IEEE Power and Energy Magazine.

[36]  Pierluigi Siano,et al.  Distributed Generation Capacity Evaluation Using Combined Genetic Algorithm and OPF , 2007 .

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