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Planning of community-scale renewable energy management systems in a mixed stochastic and fuzzy environment

Author

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  • Cai, Y.P.
  • Huang, G.H.
  • Tan, Q.
  • Yang, Z.F.

Abstract

In this study, an interval-parameter superiority–inferiority-based two-stage programming model has been developed for supporting community-scale renewable energy management (ISITSP-CREM). This method is based on an integration of the existing interval linear programming (ILP), two-stage programming (TSP) and superiority–inferiority-based fuzzy-stochastic programming (SI-FSP). It allows uncertainties presented as both probability/possibilistic distributions and interval values to be incorporated within a general optimization framework, facilitating the reflection of multiple uncertainties and complexities during the process of renewable energy management systems planning. ISITSP-CREM can also be used for effectively addressing dynamic interrelationships between renewable energy availabilities, economic penalties and electricity-generation deficiencies within a community scale. Thus, complexities in renewable energy management systems can be systematically reflected, highly enhancing applicability of the modeling process. The developed method has then been applied to a case of long-term renewable energy management planning for three communities. Useful solutions for the planning of renewable energy management systems have been generated. Interval solutions associated with different energy availabilities and economic penalties have been obtained. They can be used for generating decision alternatives and thus help decision makers identify desired policies under various economic and system-reliability constraints. The generated solutions can also provide desired energy resource/service allocation plans with a minimized system cost (or economic penalties), a maximized system reliability level and a maximized energy security. Tradeoffs between system costs and energy security can also be tackled. Higher costs will increase potential energy generation amount, while a desire for lower system costs will run into a risk of energy deficiency. They are helpful for supporting: (a) adjustment or justification of allocation patterns of renewable energy resources and services, (b) formulation of local policies regarding energy utilization, economic development and energy structure under various energy availabilities and policy interventions, and (c) analysis of interactions among economic cost, system reliability and energy-supply shortage.

Suggested Citation

  • Cai, Y.P. & Huang, G.H. & Tan, Q. & Yang, Z.F., 2009. "Planning of community-scale renewable energy management systems in a mixed stochastic and fuzzy environment," Renewable Energy, Elsevier, vol. 34(7), pages 1833-1847.
    • Handle: RePEc:eee:renene:v:34:y:2009:i:7:p:1833-1847
    DOI: 10.1016/j.renene.2008.11.024
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    1. Maqsood, Imran & Huang, Guo H. & Scott Yeomans, Julian, 2005. "An interval-parameter fuzzy two-stage stochastic program for water resources management under uncertainty," European Journal of Operational Research, Elsevier, vol. 167(1), pages 208-225, November.
    2. Iniyan, S & Sumathy, K, 2000. "An optimal renewable energy model for various end-uses," Energy, Elsevier, vol. 25(6), pages 563-575.
    3. Zahedi, A. & Smieee,, 1998. "Development of an electrical model for a PV/battery system for performance prediction," Renewable Energy, Elsevier, vol. 15(1), pages 531-534.
    4. Nfaoui, H. & Buret, J. & Sayigh, A.A.M., 1996. "Cost of electricity generated and fuel saving of an optimized wind-diesel electricity supply for village in Tangier-area (Morocco)," Renewable Energy, Elsevier, vol. 9(1), pages 831-835.
    5. Iniyan, S & Suganthi, L & Jagadeesan, T.R & Samuel, Anand A, 2000. "Reliability based socio economic optimal renewable energy model for India," Renewable Energy, Elsevier, vol. 19(1), pages 291-297.
    6. Asif, M. & Muneer, T., 2007. "Energy supply, its demand and security issues for developed and emerging economies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 11(7), pages 1388-1413, September.
    7. Söderholm, Patrik & Ek, Kristina & Pettersson, Maria, 2007. "Wind power development in Sweden: Global policies and local obstacles," Renewable and Sustainable Energy Reviews, Elsevier, vol. 11(3), pages 365-400, April.
    8. Turton, Hal & Barreto, Leonardo, 2006. "Long-term security of energy supply and climate change," Energy Policy, Elsevier, vol. 34(15), pages 2232-2250, October.
    9. Nfah, E.M. & Ngundam, J.M. & Tchinda, R., 2007. "Modelling of solar/diesel/battery hybrid power systems for far-north Cameroon," Renewable Energy, Elsevier, vol. 32(5), pages 832-844.
    10. Chinese, Damiana & Meneghetti, Antonella & Nardin, Gioacchino, 2005. "Waste-to-energy based greenhouse heating: exploring viability conditions through optimisation models," Renewable Energy, Elsevier, vol. 30(10), pages 1573-1586.
    11. Zoulias, E.I. & Lymberopoulos, N., 2007. "Techno-economic analysis of the integration of hydrogen energy technologies in renewable energy-based stand-alone power systems," Renewable Energy, Elsevier, vol. 32(4), pages 680-696.
    12. Rehman, S. & El-Amin, I.M. & Ahmad, F. & Shaahid, S.M. & Al-Shehri, A.M. & Bakhashwain, J.M. & Shash, A., 2007. "Feasibility study of hybrid retrofits to an isolated off-grid diesel power plant," Renewable and Sustainable Energy Reviews, Elsevier, vol. 11(4), pages 635-653, May.
    13. Ashok, S., 2007. "Optimised model for community-based hybrid energy system," Renewable Energy, Elsevier, vol. 32(7), pages 1155-1164.
    14. Khan, Faisal I. & Hawboldt, Kelly & Iqbal, M.T., 2005. "Life Cycle Analysis of wind–fuel cell integrated system," Renewable Energy, Elsevier, vol. 30(2), pages 157-177.
    15. Blesl, Markus & Das, Anjana & Fahl, Ulrich & Remme, Uwe, 2007. "Role of energy efficiency standards in reducing CO2 emissions in Germany: An assessment with TIMES," Energy Policy, Elsevier, vol. 35(2), pages 772-785, February.
    16. Polatidis, Heracles & Haralambopoulos, Dias A., 2007. "Renewable energy systems: A societal and technological platform," Renewable Energy, Elsevier, vol. 32(2), pages 329-341.
    17. Kazmerski, Lawrence L., 1997. "Photovoltaics: A review of cell and module technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 1(1-2), pages 71-170, March.
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