Multi-objective daily operation management of distribution network considering fuel cell power plants

T. Niknam; H.Z. Meymand; H.D. Mojarrad; J. Aghaei

Multi-objective daily operation management of distribution network considering fuel cell power plants

Access Full Text

Multi-objective daily operation management of distribution network considering fuel cell power plants

Author(s): T. Niknam ; H.Z. Meymand ; H.D. Mojarrad ; J. Aghaei
DOI: 10.1049/iet-rpg.2010.0190

For access to this article, please select a purchase option:

Buy article PDF

Buy Knowledge Pack

IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.

Learn more about IET membership

Recommend Title Publication to library

IET Renewable Power Generation — Recommend this title to your library

Thank you

Your recommendation has been sent to your librarian.

Author(s): T. Niknam ¹ ; H.Z. Meymand ² ; H.D. Mojarrad ³ ; J. Aghaei ¹
- Affiliations: 1: Department of Electrical and Electronics Engineering, Shiraz University of Technology, Shiraz, Iran
  2: Department of Electrical and Electronics Engineering, Islamic Azad University, Kerman Branch, Kerman, Iran
  3: Department of Electrical Engineering, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran
Source: Volume 5, Issue 5, September 2011, p. 356 – 367
DOI: 10.1049/iet-rpg.2010.0190 , Print ISSN 1752-1416, Online ISSN 1752-1424

Published

Fuel cells are environmentally clean, have low emission of oxides of nitrogen and sulfur and, at the same time, they can operate with a very low level of noise. In addition, they can provide energy in a controlled way with higher efficiency compared to conventional power plants. This study presents an efficient multi-objective new fuzzy self adaptive particle swarm optimisation evolutionary algorithm to solve the multi-objective optimal operation management considering fuel cell power plants in the distribution network. The objective functions of the problem are to decrease the total electrical energy losses, the total electrical energy cost, the total pollutant emission and deviation of bus voltages. The proposed algorithm is tested on a real distribution test feeder and the results demonstrate the capabilities of the proposed approach to generate true and well-distributed Pareto-optimal non-dominated solutions.

References

1. 1)
  - T. Niknam , H. Zeinoddini-Meymand , M. Nayeripour . A practical algorithm for optimal operation management of distribution network including fuel cell power plants. Renew. Energy , 1696 - 1714
2. 2)
  - F.W. Gembicki , Y.Y. Haimes . Approach to performance and sensitivity multi-objective optimization: the goal attainment method. IEEE Trans. Autom. Control , 6 , 769 - 771
3. 3)
  - P.C. Chang , S.H. Chen , C.H. Liu . Sub-population genetic algorithm with mining gene structures for multiobjective flowshop scheduling problems. Expert Syst. Appl. , 762 - 771
4. 4)
  - M.Y. El-Sharkh , M. Tanrioven , A. Rahman , M.S. Alam . Cost related sensitivity analysis for optimal operation of a grid-parallel PEM fuel cell power plant. J. power sources , 1198 - 1207
5. 5)
  - H. Yoshida , K. Kawata , Y. Fukuyama , Sh. Takayama , Y. Nakanishi . A particle swarm optimization for reactive power and voltage control considering voltage security assessment. IEEE Trans. Power Syst. , 1232 - 1239
6. 6)
  - A.K. Saha , S. Chowdhury , S.P. Chowdhury , Y.H. Song . Application of solid-oxide fuel cell in distributed power generation. IET Renew. Power Gener. , 193 - 202
7. 7)
  - Fuel Cell Basics: Benefits; available at http://www.fuelcells.org/basics/benefits.html.
8. 8)
  - T. Senjyu , Y. Miyazato , A. Yona , N. Urasaki , T. Funabashi . Optimal distribution voltage control and coordination with distributed generation. IEEE Trans. Power Deliv. , 1236 - 1242
9. 9)
  - J.C. Cebrian , N. Kagan . Reconfiguration of distribution networks to minimize loss and disruption costs using genetic algorithms. Electr. Power Syst. Res. , 53 - 62
10. 10)
  - I. Roytelman , V. Ganesan . Modeling of local controllers in distribution network applications. IEEE Trans. Power Deliv. , 1232 - 1237
11. 11)
  - M.A. Kashem , G. Ledwich . Multiple distributed generators for distribution feeder voltage support. IEEE Trans. Energy Convers. , 676 - 684
12. 12)
  - J.G. Vlachogiannis , J. Østergaard . Reactive power and voltage control based on general quantum genetic algorithms. Expert Syst. Appl. , 6118 - 6126
13. 13)
  - T. Niknam , A.M. Ranjbar , A.R. Shirani . A new approach based on ant algorithm for volt/var control in distribution network considering distributed generation. Iran. J. Sci. Technol., Trans. B , 1 - 15
14. 14)
  - A. Hajizadeh , M.A. Golkar . Fuzzy neural control of a hybrid fuel cell/battery distributed power generation system. IET Renew. Power Gener. , 402 - 414
15. 15)
  - C.M. Lin , M. Gen . Multi-criteria human resource allocation for solving multistage combinatorial optimization problems using multiobjective hybrid genetic algorithm. Expert Syst. Appl. , 2480 - 2490
16. 16)
  - J.H. Teng . A direct approach for distribution system load flow solutions. IEEE Trans. Power Deliv. , 3 , 882 - 887
17. 17)
  - R.H. Liang , Y.Sh. Wang . Fuzzy-based reactive power and voltage control in a distribution system. IEEE Trans. Power Deliv. , 610 - 618
18. 18)
  - T. Niknam , H. Zeinoddini-Meymand , H. Doagou-Mojarrad . A Practical multi-objective PSO algorithm for optimal operation management of distribution network with regard to fuel cell power plants. Renew. Energy , 1529 - 1544
19. 19)
  - J.D. Knowles , D.W. Corne . Approximating the non-dominated front using the Pareto archive evolutionary strategy. Evol. Comput. , 149 - 224
20. 20)
  - T. Niknam , B. Bahmani-Firouzi , A. Ostadi . A new fuzzy adaptive particle swarm optimization for daily volt/var control in distribution networks considering distributed generators. Appl. Energy J. , 1919 - 1928
21. 21)
  - T. Niknam . A new approach based on ant colony optimization for daily volt/var control in distribution networks considering distributed generators. Energy Convers. Manag. , 3417 - 3424

Login

Not registered yet?

Share

Tools

Login to add to favourites

Key

Multi-objective daily operation management of distribution network considering fuel cell power plants

Multi-objective daily operation management of distribution network considering fuel cell power plants

Buy article PDF

Buy Knowledge Pack

Thank you

References

Related content