Reliable generation expansion planning in pool market considering power system security

Abstract One of the main challenges of restructured power systems is to maintain sufficient installed generation capacity to meet system demand in different load points of transmission network both for present and future time. This paper presents a comprehensive Generation Expansion Planning (GEP) scheme in pool market, ensuring secure operation of power system in different load points. The proposed algorithm is divided into two programming levels: master and slave. In the master level, a Modified Game Theory (MGT) is proposed to evaluate the contrast of generation companies (GENCOs) by Independent System Operator (ISO). Besides that, the reliability level of all load points is optimized based on the availability of the composite power system, i.e. generation and transmission level. In the slave level, a Dynamic Programming (DP) method is used to find the best solution of each GENCO for decision making of investment. The validity of the proposed GEP is studied on Roy Billinton Test System (RBTS).

[1]  A. Cournot.  Researches into the Mathematical Principles of the Theory of Wealth , 1898, Forerunners of Realizable Values Accounting in Financial Reporting.

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

[3]  R. Billinton,et al.  A study on probabilistic optimal reliability criterion determination in composite power system expansion planning , 2005, IEEE Power Engineering Society General Meeting, 2005.

[4]  S. Kannan,et al.  Generation expansion planning in the competitive environment , 2004, 2004 International Conference on Power System Technology, 2004. PowerCon 2004..

[5]  Adelino J. C. Pereira,et al.  A decision support system for generation expansion planning in competitive electricity markets , 2010 .

[6]  Roy Billinton,et al.  Reliability evaluation of engineering systems : concepts and techniques , 1992 .

[7]  Felix Wu,et al.  A Game-Theoretic Model for Generation Expansion Planning: Problem Formulation and Numerical Comparisons , 2001, IEEE Power Engineering Review.

[8]  R. Billinton,et al.  A Reliability Test System for Educational Purposes-Basic Data , 1989, IEEE Power Engineering Review.

[9]  Guor-Rurng Lii,et al.  Long-term generation expansion planning employing dynamic programming and fuzzy techniques , 2000, Proceedings of IEEE International Conference on Industrial Technology 2000 (IEEE Cat. No.00TH8482).

[10]  A. M. Leite da Silva,et al.  Probabilistic criteria for power system expansion planning , 2004 .

[11]  Jin-Ho Kim,et al.  Generation expansion planning in a competitive environment using a genetic algorithm , 2002, IEEE Power Engineering Society Summer Meeting,.

[12]  Jamshid Aghaei,et al.  Generation Expansion Planning in pool market: A hybrid modified game theory and improved genetic algorithm , 2009 .

[13]  Zhaoguang Hu.  Study on methodology of generation expansion planning for power restructuring , 2002, Proceedings. International Conference on Power System Technology.

[14]  S. Baskar,et al.  Application and comparison of metaheuristic techniques to generation expansion planning in the partially deregulated environment , 2007 .

[15]  Mahmud Fotuhi-Firuzabad,et al.  Reliability evaluation of deregulated electric power systems for planning applications , 2008, Reliab. Eng. Syst. Saf..