Multi-objective optimization techniques and applications in electric power systems

Efficient operation and planning of power systems is important for a reliable and sustainable electricity supply. Therefore, optimization techniques have been applied to several optimization problems in power systems in order to achieve technical and economic efficiency. This paper presents an overview of existing optimization techniques and applications in power systems, with a special focus on multi-objective optimization in power system planning. Power system planning is by its nature a very complex multi-objective optimization problem involving perspectives of different stakeholders. Besides, a single stakeholder can also have various objectives that need to be optimized at the same time. This paper provides a review of the state-of-the-art in multi-objective evolutionary algorithms applied to power systems planning problems.

[1]  G. Latorre,et al.  Classification of publications and models on transmission expansion planning , 2003 .

[2]  Ariovaldo V. Garcia,et al.  Power system transmission network expansion planning using AC model , 2007 .

[3]  K. Strunz,et al.  Optimal Distribution System Horizon Planning–Part II: Application , 2007, IEEE Transactions on Power Systems.

[4]  K. Strunz,et al.  Optimal Distribution System Horizon Planning–Part I: Formulation , 2007, IEEE Transactions on Power Systems.

[5]  Graham Ault,et al.  Multi-objective planning of distributed energy resources: A review of the state-of-the-art , 2010 .

[6]  I.J. Ramirez-Rosado,et al.  Pseudodynamic planning for expansion of power distribution systems , 1991, IEEE Power Engineering Review.

[7]  J. Dennis,et al.  A closer look at drawbacks of minimizing weighted sums of objectives for Pareto set generation in multicriteria optimization problems , 1997 .

[8]  T. Gönen,et al.  Review of distribution system planning models: a model for optimal multistage planning , 1986 .

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

[10]  Suresh K. Khator,et al.  Power distribution planning: a review of models and issues , 1997 .

[11]  Mo-Yuen Chow,et al.  A review of emerging techniques on generation expansion planning , 1997 .

[12]  Kalyanmoy Deb,et al.  Muiltiobjective Optimization Using Nondominated Sorting in Genetic Algorithms , 1994, Evolutionary Computation.

[13]  A. Monticelli,et al.  Transmission system expansion planning by simulated annealing , 1995, Proceedings of Power Industry Computer Applications Conference.

[14]  Hossein Seifi,et al.  Electric Power System Planning: Issues, Algorithms and Solutions , 2011 .

[15]  Kalyanmoy Deb,et al.  A fast and elitist multiobjective genetic algorithm: NSGA-II , 2002, IEEE Trans. Evol. Comput..

[16]  Gary W. Chang,et al.  Power System Analysis , 1994 .

[17]  J.G. Vlachogiannis,et al.  Optimization of Power Systems based on Ant Colony System Algorithms: An Overview , 2005, Proceedings of the 13th International Conference on, Intelligent Systems Application to Power Systems.

[18]  S. Binato,et al.  Transmission network expansion planning under a Tabu Search approach , 2001 .

[20]  Xianzhong Duan,et al.  Dynamic multi-stage transmission network expansion planning , 2008, 2008 Third International Conference on Electric Utility Deregulation and Restructuring and Power Technologies.

[21]  R.A. Gallego,et al.  Multistage and coordinated planning of the expansion of transmission systems , 2004, IEEE Transactions on Power Systems.

[22]  J. G. Slootweg,et al.  Survey of power system planning models and optimization techniques , 2012 .

[23]  Mohamed E. El-Hawary,et al.  A Survey of Particle Swarm Optimization Applications in Electric Power Systems , 2009, IEEE Transactions on Evolutionary Computation.

[24]  H. K. Temraz,et al.  Distribution system expansion planning models: An overview , 1993 .