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Transmission Expansion Planning: A Methodology to Include Security Criteria and Uncertainties Using Optimization Techniques

  • Armando M. Leite da Silva
  • Leandro S. Rezende
  • Luiz Antônio F. Manso
Chapter
Part of the Springer Series in Reliability Engineering book series (RELIABILITY)

Abstract

Transmission expansion planning (TEP) is a complex optimization task to ensure that the power system will meet the forecasted demand and the security criteria along the planning horizon, while minimizing investment, operational, and interruption costs. Optimization techniques based on metaheuristics have demonstrated the potential to find high-quality solutions. Numerous advantages can be linked to these tools: the software complexity is acceptable; they are able to mix integer and non-integer variables; and also present relatively faster computational times. Their success is related to the ability to avoid local optima by exploring the basic structure of each problem. However, owing to today’s power network dimensions, random behavior of transmission and generation equipments, load growth uncertainties, etc., the TEP problem has become combinatorial, stochastic, and highly complex. When uncertainties and chronological aspects are added to these problems, the optimal solution becomes almost inaccessible, even when using metaheuristics. This chapter proposes a methodology to solve the multi-stage TEP problem considering security criteria and the treatment of external uncertainties, as load/generation growth. In addition, a discussion about how to include security criteria using deterministic and probabilistic approaches is presented through a case study on a small test system. A real transmission network is used as an illustration of the application of the proposed methodology.

Keywords

Particle Swarm Optimization Reliability Index Planning Horizon Greedy Randomize Adaptive Search Procedure Artificial Immune System 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgments

The authors would like to thank Dr. Cleber E. Sacramento from CEMIG (Compania Energética de Minas Gerais), Brazil, for providing data and discussions on planning strategies. The authors would like to extend their thanks to Mr. Larry Lee and Dr. Gomaa Hamoud from Hydro One, Canada, to Dr. George Anders from Kinectrics, Canada, to Prof. Leonardo M. Honório from UNIFEI, Brazil, and also to Prof. Leonidas Chaves de Resende from UFSJ, Brazil, for discussions on transmission expansion planning and optimization issues.

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Copyright information

© Springer-Verlag London Limited 2011

Authors and Affiliations

  1. 1.Institute of Electric Systems and EnergyFederal University of Itajubá – UNIFEIItajubáBrazil
  2. 2.Department of Electrical EngineeringFederal University of São João Del Rei – UFSJSão João Del ReiBrazil

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