Planning of distributed energy resources: traditional optimization tools versus evolutionary algorithms

[1]  L.F. Ochoa,et al.  Evaluating distributed generation impacts with a multiobjective index , 2006, IEEE Transactions on Power Delivery.

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

[3]  H. M. Merrill,et al.  Conflicting objectives and risk in power system planning , 1993 .

[4]  J. Driesen,et al.  A Long-Term Multi-objective Planning Tool for Distributed Energy Resources , 2006, 2006 IEEE PES Power Systems Conference and Exposition.

[5]  Math Bollen,et al.  The hosting capacity of distribution networks against high-frequency harmonics emitted by distributed energy resources , 2006 .

[6]  W. H. Kersting Radial distribution test feeders , 1991 .

[7]  Lothar Thiele,et al.  Multiobjective evolutionary algorithms: a comparative case study and the strength Pareto approach , 1999, IEEE Trans. Evol. Comput..

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

[9]  Marija Ilic,et al.  The Control and Operation of Distributed Generation in a Competitive Electric Market , 1998 .

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

[11]  R. M. Ciric,et al.  Power flow in four-wire distribution networks-general approach , 2003 .

[12]  Y. Ho,et al.  Simple Explanation of the No-Free-Lunch Theorem and Its Implications , 2002 .