Probabilistic energy management of a renewable microgrid with hydrogen storage using self-adaptive charge search algorithm

Energy

Volumn 49, Issue 1, 2013, Pages 252-267

  Niknam, Taher ^a   Golestaneh, Faranak ^a   Shafiei, Mehdi ^b  

^a SHIRAZ UNIVERSITY OF TECHNOLOGY   (Iran)

^b ISLAMIC AZAD UNIVERSITY   (Iran)

Author keywords

Combined heating and power (CHP); Hydrogen production; Micro grid (MG); PEM fuel cell; Point estimate method; Self adaptive charged system search (SCSS)

Indexed keywords

ALGORITHMS; COOLING SYSTEMS; COSTS; DIGITAL STORAGE; DISTRIBUTED POWER GENERATION; ENERGY MANAGEMENT; ENERGY RESOURCES; HYDROGEN PRODUCTION; HYDROGEN STORAGE; POWER GENERATION;

CHARGED SYSTEMS; COMBINED HEATING; MICROGRID; PEM FUEL CELL; POINT ESTIMATE METHOD;

PROTON EXCHANGE MEMBRANE FUEL CELLS (PEMFC);

ALGORITHM; COST-BENEFIT ANALYSIS; DECISION MAKING; ELECTROCHEMICAL METHOD; ENERGY CONSERVATION; FUEL CELL; GAS PRODUCTION; HYDROGEN; PHOTOVOLTAIC SYSTEM; RENEWABLE RESOURCE; WIND TURBINE;

CHANDIPURA VIRUS;

EID: 84871721419     PISSN: 03605442     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.energy.2012.09.055     Document Type: Article

References (41)

1. Østergaard P.A. Reviewing optimization criteria for energy systems analyses of renewable energy integration. Energy 2009, 34(9):1236-1245.
2. Choudhry Mohammad A., Hasham Kh Power loss reduction in radial distribution system with multiple distributed energy resources through efficient islanding detection. Energy 2010, 35(12):4843-4861.
3. Moghaddam A., Seifi A., Niknam T., Pahlavani M.R. Multi-objective operation management of a renewable MG (micro-grid) with back-up micro-turbine/fuel cell/battery hybrid power source. Energy 2011, 36(11):6490-6507.
4. Obara S., Watanabe S., Rengarajan B. Operation method study based on the energy balance of an independent microgrid using solar-powered water electrolyzer and an electric heat pump. Energy 2011, 36(8):5200-5213.
5. Chen C., Duan S., Cai T., Liu B., Hu G. Smart energy management system for optimal microgrid economic operation. IET Renew Power Gener 2011, 5(3):258-267.
6. Corrêa J., Farret F., Canha L., Simões M. An electrochemical-based fuel-cell model suitable for electrical engineering automation approach. IEEE Trans Indust Elect 2004, 51(5):1103-1112.
7. Masters G. Renewable and efficient electric power systems 2004, John Wiley & Sons, Inc. 3rd ed.
8. Dincer I. Green methods for hydrogen production. Int J Hydrogen Energy 2012, 37(2):1954-1971.
9. Aki H., Taniguchi Y., Tamura I., Kegasa A., Hayakawa H., Ishikawa Y., et al. Fuel cells and energy networks of electricity, heat, and hydrogen: a demonstration in hydrogen-fueled apartments. Int J Hydrogen Energy 2012, 37(2):1204-1213.
10. Larmine J.E., Dicks A. Fuel cell systems explained 2003, John Wiley and Sons. 3rd ed.
11. Ang S., Fraga E., Brandon N., Samsatli N., Brett D. Fuel cell systems optimization - methods and strategies. Int J Hydrogen Energy 2011, 36(22):14678-14703.
12. Tsikalakis A.G., Hatziargyriou N.D. Centralized control for optimizing microgrids operation. IEEE Trans Energy Convers 2008, 23(1):241-248.
13. Chedid R., Raiman S. Unit sizing and control of hybrid wind solar power systems. IEEE Trans Energy Convers 1997, 12(1):79-85.
14. El-Sharkh M.Y., Tanrioven M., Rahman A., Alam M.S. Economics of hydrogen production and utilization strategies for the optimal operation of a grid-parallel PEM fuel cell power plant. Int J Hydrogen Energy 2010, 35:8804-8814.
15. Shabani B., Andrews J. An experimental investigation of a PEM fuel cell to supply both heat and power in a solar-hydrogen RAPS system. Int J Hydrogen Energy 2011, 36(9):5442-5452.
16. Ren H., Gao W. Economic and environmental evaluation of micro CHP systems with different operating modes for residential buildings in Japan. Energy Buildings 2010, 42:853-861.
17. Hawkes A.D., Brett D.J.L., Brandon N.P. Fuel cell micro-CHP techno-economics: part 1-model concept and formulation. Int J Hydrogen Energy 2009, 34(23):9545-9557.
18. Hawkes A.D., Brett D.J.L., Brandon N.P. Fuel cell micro-CHP techno-economics: part 2-Model application to consider the economic and environmental impact of stack degradation. Int J Hydrogen Energy 2009, 34(23):9558-9569.
19. Hawkes A.D., Leach M.A. Cost-effective operating strategy for residential micro combined heat and power. Energy 2007, 32(5):711-723.
20. Soroudi A., Ehsan M., Caire R., Hadjsaid N. Possibilistic evaluation of distributed generations impacts on distribution networks. Trans Power Syst 2011, 4:2293-2301.
21. Soroudi A., Aien M., Ehsan M. A probabilistic modeling of photo voltaic modules and wind power generation impact on distribution networks. IEEE Syst J 2011, 99:1-10.
22. Hethey J, Leweson S. Probabilistic analysis of reactive power control strategies for wind farms. Master thesis, Technical University of Denmark; 2008.
23. Anders G.J. Probability concepts in electric power systems 1990, Wiley, New York.
24. Morales J.M., Perez-Ruiz J. Point estimate schemes to solve the probabilistic power flow. IEEE Trans Power Syst 2007, 22:1594-1601.
25. Rubinstein R.Y. Simulation and the Monte Carlo method 1981, Wiley, New York.
26. Su C.-L. Probabilistic load-flow computation using point estimate method. IEEE Trans Power Syst 2005, 20(4):1843-1851.
27. Malekpour A.R., Niknam T. A probabilistic multi-objective daily Volt/Var control at distribution networks including renewable energy sources. Energy 2011, 36(5):3477-3488.
28. Fabbri A., Román T., Abbad J., Quezada V. Assessment of the cost associated with wind generation prediction errors in a liberalized electricity market. IEEE Trans Power Syst 2005, 20(3):1440-1446.
29. Kaveh A., Talatahari S. A novel heuristic optimization method: charged system search. Acta Mech 2010, 213:267-289.
30. In R.F., Amphlett J.C.I., Hooper M.A., Jensen H.M., Peppley B.A., Roberge P.R. Development and application of a generalized steady-state electrochemical model for a PEM fuel cell. J Power Sources 2000, 86:173-180.
31. Amphlett J.C., Mann R.F., Peppley B.A., Roberge P.R., Rodrigues A. A model predicting transient responses of proton exchange membrane fuel cells. J Power Sources 1996, 61:183-188.
32. Mago P., Hueffed A. Evaluation of a turbine driven CCHP system for large office buildings under different operating strategies. Energy Buildings 2010, 42:1628-1636.
33. Moghaddam A., Seifi A., Niknam T. Multi-operation management of a typical micro-grid using particle swarm optimization: a comparative study. Renew Sustain Energy Rev 2012, 16:1268-1281.
34. Zhang P., Lee S.T. Probabilistic load flow computation using the method of combined cumulants and Gram-Charlier expansion. IEEE Trans Power Syst 2004, 19:676-682.
35. Niknam T., Olamaie J., Amiri B. A hybrid evolutionary algorithm based on ACO and SA for cluster analysis. J Appl Sci 2008, 8(15):2695-2702.
36. Niknam T., Azizipanah-Abarghooee R., Roosta A., Amiri B. A new multi-objective reserve constrained combined heat and power dynamic economic emission dispatch. Energy 2012, 42(1):530-545.
37. Maroosi A., Amiri B. A new clustering algorithm based on hybrid global optimization based on a dynamical systems approach algorithm. Expert Syst Appl 2010, 37(8):5645-5652.
38. Anvari Moghaddam A., Seifi A.R. Study of forecasting renewable energies in smart grids using linear predictive filters and neural networks. IET Renew Power Gener 2011, 5(6):470-480.
39. Swarup K.S., Yamashiro S. A genetic algorithm approach to generator unit commitment. Electr Power Energy Syst 2003, 25:679-687.
40. Keisha Amanda Denise D'Arnaud. Optimization of renewable energy resources (RERs) for enhancing network performance for distribution systems. Master thesis, Dept. Electr. & Comp. Eng., Howard University, Washington, D.C., 2010.
41. Morales JM. Impact on system economics and security of a high penetration of wind power, Ph.D. dissertation. Dept. Electr. Eng., Univ. Castilla-La Mancha, Ciudad Real, Spain; 2010.