Abstract
A new methodology is presented for decision making in long-term expansion planning. Power system expansion planning involves an intrinsic uncertainty on data and parameters, a fact often worsened by the new rules of deregulated electrical markets. The proposed procedure models both the uncertainty in load forecasting and the experience of the planning expert who uses fuzzy sets theory and fuzzy dynamic programming in the model algorithm to find an optimal expansion alternative.This procedure was tested in a realistic model system and the results obtained were arranged in an expansion planning ranking list according to their membership in the decision set.
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References
CIGRE Working group 01 of study committee 37 (1991) Flexibility of power systems: principles, means of achievement and approaches for facing uncertainty by planning flexible development of power systems. Electra 135: 74–92
Arakawa F (1987) From toughness to flexibility. Historical Review on AESOP. Paper 37–87-(JP)-06.Montreal
CAMMESA (1997) Procedimientos para la Programación de la Operación, el Despacho de Cargas y el Cálculo de Precios. VERSIÓN XI
EPRI (1979) Generation system reliability analysis for future cost/benefit studies. Report EA-958
Strada TJ (1996) Optimización de la operación de sistemas hidrotérmicos de generación, bajo consideración de variables con comportamiento aleatorio. IEE-UNSJ Tesis Doctoral
Garcia-Agreda A, Strada T, Andreoni A (1998) Aplicación de la matemática difusa para la evaluación económica de inversiones-Su aplicación al Sector Eléctrico. VI SEPOPE, Brasil
Dubois D, Prade H (1980) Fuzzy sets and systems, theory and applications. Academic, London
El-Hawary ME, (1988) Electric power applications of fuzzy systems. IEEE Press, London
Bellman RE, Zadeh LA (1970) Decision making in fuzzy environment. Man Sci 17: 141–164
Economakos E (1979) Application of fuzzy concepts to power demand forecasting. IEEE Trans. SMC 9: 651–657
Saraiva JT, Miranda V (1993) Impacts in Power System Modeling from including fuzzy concepts in models.In: Proceedings of Athens Power Tech, Joint IEEE PES Conference, Athens.
Torres GL, Da Silva LEB, Mukhedkar D (1989) A fuzzy knowledge base For load forecasting.In: 1991 expert system applications to European conference on circuit theory and design, ECCTD-89, IEE Symposium, Brighton, UK
Saraiva JT, Miranda V, Pinto L (1993) Impact on some planning decisions from a fuzzy modeling of power systems. In: Proceedings of the 1993 PICA, Scottsdale, Arizona
Miranda V, Matos M, and Saraiva JT (1990) Fuzzy load flow – new algorithms incorporating uncertain generation and load representation. In: Proceedings of the 10th PSCC, Graz
Miranda V (1996) Fuzzy reliability analysis of power systems. In: The 12th power systems computation conference, Dresden.
Su C-C, Hsu Y-Y (1991) Fuzzy dynamic programming – an application to unit commitment. IEEE Trans PAS, 6(3):1231–1237
Nonaka Y (1988) An approach to evaluation of flexibility of generation Mix. CIGRE SC-37 WG.01, Paris
Saaty TL (1977) A scaling method for priorities in hierarchical structures. J Math Psychology 15: 234–281
Zimmermann HJ (1987) Fuzzy sets, decision making and expert system. Kluwer, Dordrecht
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Andreoni, A.M., Garcia-Agreda, A., Strada, T.J. et al. Strategies for Power Systems Expansion Planning in a Competitive Electrical Market. Electr Eng 89, 433–441 (2007). https://doi.org/10.1007/s00202-006-0022-6
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DOI: https://doi.org/10.1007/s00202-006-0022-6