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Genetic algorithm solution to the market-based transmission expansion planning problem

PAVLOS S. GEORGILAKIS1,* , CONSTANTINE KARYTSAS2, PETER G. VERNADOS3

Affiliation

  1. Department of Production Engineering & Management, Technical University of Crete, GR-73100, Chania, Greece
  2. Centre for Renewable Energy Sources, 19th Km Marathon Avenue, GR-19009, Athens, Greece
  3. Technological Educational Institute of Piraeus, Department of Electrical Engineering, 250 Petrou Ralli and Thivon str., GR-12244, Athens, Greece

Abstract

The restructuring and deregulation has exposed the transmission planner to new objectives and uncertainties. As a result, new criteria and approaches are needed for transmission expansion planning in deregulated electricity markets. This paper proposes a new market-based approach for transmission planning. For the solution of this new market-based transmission expansion problem, a genetic algorithm model is proposed. Results from the application of the proposed method on the IEEE 30 bus test system demonstrate the feasibility and practicality of this approach..

Keywords

Competitive electric markets, Transmission expansion planning, Genetic algorithm, Reference network.

Submitted at: March 13, 2008
Accepted at: May 14, 2008

Citation

PAVLOS S. GEORGILAKIS, CONSTANTINE KARYTSAS, PETER G. VERNADOS, Genetic algorithm solution to the market-based transmission expansion planning problem, Journal of Optoelectronics and Advanced Materials Vol. 10, Iss. 5, pp. 1120-1125 (2008)