Placement of Combined Heat, Power and Hydrogen Production Fuel Cell Power Plants in a Distribution Network

作者: Ebrahim Farjah , Mosayeb Bornapour , Taher Niknam , Bahman Bahmanifirouzi

DOI: 10.3390/EN5030790

关键词:

摘要: This paper presents a new Fuzzy Adaptive Modified Particle Swarm Optimization algorithm (FAMPSO) for the placement of Fuel Cell Power Plants (FCPPs) in distribution systems. FCPPs, as Distributed Generation (DG) units, can be considered Combined sources Heat, Power, and Hydrogen (CHPH). CHPH operation FCPPs improve overall system efficiency, well produce hydrogen which stored future use or sold profit. The objective functions investigated are minimizing operating costs electrical energy generation substations voltage deviation total emission. In this regard, just considers while investment cost devices is not considered. Considering fact that objectives different, non-commensurable nonlinear, it difficult to solve problem using conventional approaches may optimize single objective. Moreover, systems mixed integer problem. Therefore, uses FAMPSO overcome these problems. For solving proposed multi-objective problem, utilizes Pareto Optimality idea obtain set solution instead only one. Also, fuzzy used tune parameters such inertia weight. efficacy approach validated on 69-bus system.

参考文章(28)
Soma Biswas, Swapan Kumar Goswami, Amitava Chatterjee, Optimum distributed generation placement with voltage sag effect minimization Energy Conversion and Management. ,vol. 53, pp. 163- 174 ,(2012) , 10.1016/J.ENCONMAN.2011.08.020
Martin Geske, Maik Heuer, Günter Heideck, Zbigniew A. Styczynski, Current Density Distribution Mapping in PEM Fuel Cells as An Instrument for Operational Measurements Energies. ,vol. 3, pp. 770- 783 ,(2010) , 10.3390/EN3040770
P. Reche-López, N. Ruiz-Reyes, S. García Galán, F. Jurado, Comparison of metaheuristic techniques to determine optimal placement of biomass power plants Energy Conversion and Management. ,vol. 50, pp. 2020- 2028 ,(2009) , 10.1016/J.ENCONMAN.2009.04.008
Francisco Jurado, Antonio Cano, Optimal placement of biomass fuelled gas turbines for reduced losses Energy Conversion and Management. ,vol. 47, pp. 2673- 2681 ,(2006) , 10.1016/J.ENCONMAN.2005.10.033
Taher Niknam, Ehsan Azadfarsani, Masoud Jabbari, A new hybrid evolutionary algorithm based on new fuzzy adaptive PSO and NM algorithms for Distribution Feeder Reconfiguration Energy Conversion and Management. ,vol. 54, pp. 7- 16 ,(2012) , 10.1016/J.ENCONMAN.2011.09.014
M.Y. El-Sharkh, M. Tanrioven, A. Rahman, M.S. Alam, Impact of hydrogen production on optimal economic operation of a grid-parallel PEM fuel cell power plant Journal of Power Sources. ,vol. 153, pp. 136- 144 ,(2006) , 10.1016/J.JPOWSOUR.2005.03.187
Wen Zhang, Yutian Liu, Multi-objective reactive power and voltage control based on fuzzy optimization strategy and fuzzy adaptive particle swarm International Journal of Electrical Power & Energy Systems. ,vol. 30, pp. 525- 532 ,(2008) , 10.1016/J.IJEPES.2008.04.005
M.Y. El-Sharkh, M. Tanrioven, A. Rahman, M.S. Alam, Economics of hydrogen production and utilization strategies for the optimal operation of a grid-parallel PEM fuel cell power plant International Journal of Hydrogen Energy. ,vol. 35, pp. 8804- 8814 ,(2010) , 10.1016/J.IJHYDENE.2010.05.108
Kimihiro Nanaeda, Fabian Mueller, Jacob Brouwer, Scott Samuelsen, Dynamic modeling and evaluation of solid oxide fuel cell - combined heat and power system operating strategies Journal of Power Sources. ,vol. 195, pp. 3176- 3185 ,(2010) , 10.1016/J.JPOWSOUR.2009.11.137
Taher Niknam, Hassan Doagou Mojarrad, Majid Nayeripour, A new fuzzy adaptive particle swarm optimization for non-smooth economic dispatch Energy. ,vol. 35, pp. 1764- 1778 ,(2010) , 10.1016/J.ENERGY.2009.12.029