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Multi-objective stochastic distribution feeder reconfiguration problem considering hydrogen and thermal energy production by fuel cell power plants

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  • Niknam, Taher
  • Kavousi Fard, Abdollah
  • Baziar, Aliasghar

Abstract

This paper assesses the operation and management of electrical energy, hydrogen production and thermal load supplement by the Fuel Cell Power Plants (FCPP) in the distribution systems with regard to the uncertainties which exist in the load demand as well as the price of buying natural gas for FCPPs, fuel cost for residential loads, tariff for purchasing electricity, tariff for selling electricity, hydrogen selling price, operation and maintenance cost and the price of purchasing power from the grid. Therefore, a new modified multi-objective optimization algorithm called Teacher-Learning Algorithm (TLA) is proposed to integrate the optimal operation management of Proton Exchange Membrane FCPPs (PEM-FCPPs) and the optimal configuration of the system through an economic model of the PEM-FCPP. In order to improve the total ability of TLA for global search and exploration, a new modification process is suggested such that the algorithm will search the total search space globally. Also, regarding the uncertainties of the new complicated power systems, in this paper for the first time, the DFR problem is investigated in a stochastic environment by the use of probabilistic load flow technique based on Point Estimate Method (PEM). In order to see the feasibility and the superiority of the proposed method, a standard test system is investigated as the case study. The simulation results are investigated in four different scenarios to show the effect of hydrogen production and thermal recovery more evidently.

Suggested Citation

  • Niknam, Taher & Kavousi Fard, Abdollah & Baziar, Aliasghar, 2012. "Multi-objective stochastic distribution feeder reconfiguration problem considering hydrogen and thermal energy production by fuel cell power plants," Energy, Elsevier, vol. 42(1), pages 563-573.
    • Handle: RePEc:eee:energy:v:42:y:2012:i:1:p:563-573
    DOI: 10.1016/j.energy.2012.02.023
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    References listed on IDEAS

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    1. Ersoz, Atilla & Olgun, Hayati & Ozdogan, Sibel, 2006. "Simulation study of a proton exchange membrane (PEM) fuel cell system with autothermal reforming," Energy, Elsevier, vol. 31(10), pages 1490-1500.
    2. Niknam, Taher & Meymand, Hamed Zeinoddini & Mojarrad, Hasan Doagou, 2011. "An efficient algorithm for multi-objective optimal operation management of distribution network considering fuel cell power plants," Energy, Elsevier, vol. 36(1), pages 119-132.
    3. Azizipanah-Abarghooee, Rasoul & Niknam, Taher & Roosta, Alireza & Malekpour, Ahmad Reza & Zare, Mohsen, 2012. "Probabilistic multiobjective wind-thermal economic emission dispatch based on point estimated method," Energy, Elsevier, vol. 37(1), pages 322-335.
    4. Dalton, G.J. & Lockington, D.A. & Baldock, T.E., 2009. "Feasibility analysis of renewable energy supply options for a grid-connected large hotel," Renewable Energy, Elsevier, vol. 34(4), pages 955-964.
    5. Niknam, Taher & Meymand, Hamed Zeinoddini & Nayeripour, Majid, 2010. "A practical algorithm for optimal operation management of distribution network including fuel cell power plants," Renewable Energy, Elsevier, vol. 35(8), pages 1696-1714.
    6. Singdeo, Debanand & Dey, Tapobrata & Ghosh, Prakash C., 2011. "Modelling of start-up time for high temperature polymer electrolyte fuel cells," Energy, Elsevier, vol. 36(10), pages 6081-6089.
    7. Bang-Møller, C. & Rokni, M. & Elmegaard, B., 2011. "Exergy analysis and optimization of a biomass gasification, solid oxide fuel cell and micro gas turbine hybrid system," Energy, Elsevier, vol. 36(8), pages 4740-4752.
    8. Moghaddam, Amjad Anvari & Seifi, Alireza & Niknam, Taher & Alizadeh Pahlavani, Mohammad Reza, 2011. "Multi-objective operation management of a renewable MG (micro-grid) with back-up micro-turbine/fuel cell/battery hybrid power source," Energy, Elsevier, vol. 36(11), pages 6490-6507.
    9. San Martin, J.I. & Zamora, I. & San Martin, J.J. & Aperribay, V. & Torres, E. & Eguia, P., 2010. "Influence of the rated power in the performance of different proton exchange membrane (PEM) fuel cells," Energy, Elsevier, vol. 35(5), pages 1898-1907.
    10. Rangel-Hernandez, V.H. & Damian-Ascencio, C. & Juarez-Robles, D. & Gallegos-Muñoz, A. & Zaleta-Aguilar, A. & Plascencia-Mora, H., 2011. "Entropy generation analysis of a proton exchange membrane fuel cell (PEMFC) with a fermat spiral as a flow distributor," Energy, Elsevier, vol. 36(8), pages 4864-4870.
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