Stochastic scenario-based model and investigating size of energy storages for PEM-fuel cell unit commitment of micro-grid considering profitable strategies

IET Generation, Transmission and Distribution

Volumn 8, Issue 7, 2014, Pages 1228-1243

  Mohammadi, Sirus ^a   Mozafari, Babak ^b   Solymani, Soodabe ^b   Niknam, Taher ^c  

^a ISLAMIC AZAD UNIVERSITY   (Iran)

^b ISLAMIC AZAD UNIVERSITY   (Iran)

^c SHIRAZ UNIVERSITY OF TECHNOLOGY   (Iran)

Author keywords

[No Author keywords available]

Indexed keywords

BATTERY STORAGE; CONSTRAINT SATISFACTION PROBLEMS; FUEL CELL POWER PLANTS; HEAT STORAGE; HYDROGEN STORAGE; STOCHASTIC MODELS; STOCHASTIC PROGRAMMING; STOCHASTIC SYSTEMS; STORAGE MANAGEMENT;

COST MINIMIZATION; ELECTRICAL LOAD; NUMBER OF GRIDS; QUANTITATIVE RESULT; SCENARIO-BASED MODELING; STOCHASTIC PROGRAMMING MODEL; TIME CONSTRAINTS; UNIT-COMMITMENT;

PROTON EXCHANGE MEMBRANE FUEL CELLS (PEMFC);

EID: 84907779715     PISSN: 17518687     EISSN: 17518695     Source Type: Journal    
DOI: 10.1049/iet-gtd.2013.0026     Document Type: Article

References (36)

1. Shahidehpour, M., Yamin, H., Li, Z.: 'Market operations in electric power systems' (Wiley, New York, 2002)
2. Saber, A.Y., Senjyu, T., Miyagi, T., Urasaki, N., Funabashi, T.: 'Unit commitment by heuristics and absolutely stochastic simulated annealing', IET Gener. Transm. Distrib., 2012, 1, (2), pp. 234-243
3. Azizipanah-Abarghooee, R., Niknam, T., Bavafa, F., Zare, M.: 'Short-term scheduling of thermal power systems using hybrid gradient based modified teaching-learning optimizer with black hole algorithm', Electr. Power Syst. Res., 2014, 108, pp. 16-34
4. Dai, C., Chen, W., Cheng, Z., Li, Q., Jiang, Z., Jia, J.: 'Seeker optimization algorithm for global optimization: A case study on optimal modelling of proton exchange membrane fuel cell (PEMFC)', Int. J. Electr. Power Energy Syst., 2011, 33, (3), pp. 369-76
5. Liao, G.-C.: 'Solve environmental economic dispatch of Smart MicroGrid containing distributed generation system-using chaotic quantum genetic algorithm', Int. J. Electr. Power Energy Syst., 2012, 43, (1), pp. 779-87
6. Mohamed, F.A., Koivo, H.N.: 'Multiobjective optimization using mesh adaptive direct search for power dispatch problem of microgrid', Int. J. Electr. Power Energy Syst., 2012, 42, (1), pp. 728-35
7. Mohamed, F.A., Koivo, H.N.: 'System modelling and online optimal management of microgrid using mesh adaptive direct search', Int J. Electr. Power Energy Syst., 2010, 32, (5), pp. 398-407
8. Bahmani-Firouzi, B., Azizipanah-Abarghooee, R.: 'Optimal sizing of battery energy storage for micro-grid operation management using a new improved bat algorithm', Int. J. Electric. Power Energy Syst., 2014, 56, pp. 42-54
9. Chen, C., Duan, C., Cai, T., Liu, B., Hu, G.: 'Smart energy management system for optimal microgrid economic operation', IET Renew. Power Gener., 2011, 5, (3), pp. 258-267
10. Niknam, T., Golestaneh, F., Malekpour, A.: 'Probabilistic energy and operation management of a microgrid containing wind/ photovoltaic/ fuel cell generation and energy storage devices based on point estimate method and self-adaptive gravitational search algorithm', Energy, 2012, 43, (1), pp. 427-437
11. Niknam, T., Azizipanah-Abarghooee, R., Narimani, M.R.: 'An efficient scenario-based stochastic programming framework for multi-objective optimal micro-grid operation', Appl. Energy, 2012, 99, pp. 455-470
12. Aghaei, J., Niknam, T., Azizipanah-Abarghooee, R., Arroyo, J.M.: 'Scenario-based dynamic economic emission dispatch considering load and wind power uncertainties', Int. J. Electric. Power Energy Syst., 2013, 47, pp. 351-367
13. Heitsch, H., Römisch, W.: 'Scenario reduction algorithms in stochastic programming', Comput. Optim. Appl., 2003, 24, (2-3), pp. 187-206
14. Dupačová, J., Gröwe-Kuska, N., Römisch, W.: 'Scenario reduction in stochastic programming: an approach using probability metrics', Math. Program., 2003, 95, pp. 493-511
15. Tan, X., Li, Q., Wang, H.: 'Advances and trends of energy storage technology in microgrid', Int. J. Electr. Power Energy Syst., 2013, 44, (1), pp. 179-191
16. Mitra, J.: 'Reliability-based sizing of backup storage', IEEE Trans. Power Syst., 2010, 25, (2), pp. 1198-1199
17. Lee, T.-Y., Chen, N.: 'Determination of optimal contract capacities and optimal sizes of battery energy storage systems for time-of-use rates industrial customers', IEEE Trans. Energy Convers., 1995, 10, (3), pp. 562-568
18. Kaldellis, J., Zafirakis, D., Kondili, E.: 'Optimum sizing of photovoltaic-energy storage systems for autonomous small islands', Int. J. Electr. Power Energy Syst., 2010, 32, (1), pp. 24-36
19. Chen, S.X., Gooi, H.B., Wang, M.Q.: 'Sizing of energy storage for microgrids', IEEE Trans. Smart Grid, 2012, 3, (1), pp. 142-51
20. 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, (16), pp. 8804-8814
21. El-Sharkh, M.Y., Rahman, A., Alam, M.S.: 'Short term scheduling of multiple grid-parallel PEM fuel cells for microgrid applications', Int. J. Hydrog. Energy, 2010, 35, (20), pp. 11099-11106
22. Niknam, T., Zare, M.: 'Probabilistic hydrogen, thermal and electrical management of PEM-fuel cell power plants in distribution networks', Int. J. Hydrog. Energy, 2012, 37, (23), pp. 18243-18260
23. Niknam, T., Golestaneh, F., Malekpour, A.R.: 'Probabilistic model of polymer exchange fuel cell power plants for hydrogen, thermal and electrical energy management', J. Power Sources, 2013, 229, pp. 285-298
24. Mago, P.J., Hueffed, A.K.: 'Evaluation of a turbine driven CCHP system for large office buildings under different operating strategies', Energy Build., 2010, 42, (10), pp. 1628-1636
25. Rajabioun, R.: 'Cuckoo optimization algorithm', Appl. Soft Comput., 2011, 11, (8), pp. 5508-5518
26. Wu, L., Shahidehpour, M., Li, T.: 'Stochastic security-constrained unit commitment', IEEE Trans. Power Syst., 2007, 22, (2), pp. 800-11
27. Niknam, T., Fard, A.K., Baziar, A.: 'Multi-objective stochastic distribution feeder reconfiguration problem considering hydrogen and thermal energy production by fuel cell power plants', Energy, 2012, 42, (1), pp. 563-573
28. Niknam, T., Meymand, H.Z., Mojarrad, H.D.: 'An efficient algorithm for multi-objective optimal operation management of distribution network considering fuel cell power plants', Energy, 2011, 36, (1), pp. 119-132
29. Niknam, T., Taherian Fard, E., Pourjafarian, N., Roosta, A.: 'An efficient hybrid algorithm based on modified imperialist competitive algorithm and K-means for data clustering', Eng. Appl. Artific. Intell., 2011, 24, (2), pp. 306-317
30. Niknam, T., Azizipanah-Abarghooee, R., Aghaei, J.: 'A new modified teaching-learning algorithm for reserve constrained dynamic economic dispatch', IEEE Trans. Power Systs., 2013, 28, (2), pp. 749-763
31. Lohokare, M.R., Panigrahi, B.K., Pattnaik, S.S., Devi, S., Mohapatra, A.: 'Neighborhood search-driven accelerated biogeography-based optimization for optimal load dispatch', IEEE Trans. Syst. Man Cybern. C, Appl. Rev., 2012, 42, (5), pp. 641-52
32. Niknam, T., Azizipanah-Abarghooee, R., Narimani, M.R.: 'Reserve constrained dynamic optimal power flow subject to valve-point effects, prohibited zones and multi-fuel constraints', Energy, 2012, 47, (1), pp. 451-64
33. Anvari Moghaddam, A., Seifi, A.R., Niknam, T.: 'Multi-operation management of typical micro-grids using particle swarm optimization: a comparative study', Renew. Sust. Energy Rev., 2012, 16, (2), pp. 1268-81
34. 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, (2), pp. 470-480
35. Liang, J.J., Qin, A.K., Suganthan, P.N., Baskar, S.: 'Comprehensive learning particle swarm optimizer for global optimization of multimodal functions', IEEE Trans. Evol. Comput., 2006, 10, (3), pp. 281-95
36. Bahmani-Firouzi, B., Farjah, E., Azizipanah-Abarghooee, R.: 'An efficient scenario-based and fuzzy self-adaptive learning particle swarm optimization approach for dynamic economic emission dispatch considering load and wind power uncertainties', Energy, 2013, 50, pp. 232-244