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International Conference in Swarm Intelligence

ICSI 2015: Advances in Swarm and Computational Intelligence pp 65–73Cite as

Unit Commitment with Electric Vehicles Based on an Improved Harmony Search Algorithm

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9140))

Abstract

This paper presents an intelligent economic operation of unit commitment (UC) incorporated with electric vehicles (EV) problem. The model of UC with EV is formulated, which includes constraints of power balance, spinning reserve, minimum up-down time, generation limits and EV limits. An improved harmony search, namely NPAHS-M, is proposed for UC problem with vehicle-to-grid (V2G) technology. This method contains a new pitch adjustment which can enhance the diversity of newly generated harmony and provide a better searching guidance. Simulation results show that EVs can reduce the running cost effectively and NPAHS-M can achieve comparable results compared with the methods in literatures.

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References

  1. Yilmaz, M., Krein, P.T.: Review of the Impact of Vehicle-to-Grid Technologies on Distribution Systems and Utility Interfaces. IEEE Trans. Power Elec. 28, 5637–5689 (2013)

    Google Scholar 

  2. Saber, A.Y., Venayagamoorthy, G.K.: Resource Scheduling Under Uncertainty in a Smart Grid with Renewables and Plug-in Vehicles. IEEE Systems Journal 6, 103–109 (2012)

    Article  Google Scholar 

  3. Ongsakul, W., Petcharaks, N.: Unit Commitment by Enchanced Adaptive Lagrangian Relaxation. IEEE Trans. Power Syst. 19, 620–628 (2004)

    Article  Google Scholar 

  4. Lowery, P.G.: Generating Unit Commitment by Dynamic Programming. IEEE Trans. Power Appa. Syst. 85, 422–426 (1966)

    Article  Google Scholar 

  5. Senjyu, T., Shimabukuro, K., Uezato, K., Funabashi, T.: A fast technique for unit commitment problem by extended priority list. In: T&D Conference and Exhibition 2002, pp. 244–249. IEEE press (2002)

    Google Scholar 

  6. Damousis, I.G., Bakirtzis, A.G., Dokopulos, P.S.: A Solution to the Unit-commitment Problem Using Integer-code Genetic Algorithm. IEEE Trans. Power Syst. 19, 577–585 (2004)

    Article  Google Scholar 

  7. Yuan, X., Su, A., Nie, H., Yuan, Y., Wang, L.: Unit Commitment Problem Using Enhanced Particle Swarm Optimization Algorithm. Soft Comput. 15, 139–148 (2011)

    Article  Google Scholar 

  8. Yuan, X., Su, A., Nie, H., Yuan, Y., Wang, L.: Application of Enhanced Discrete Differential Evolution Approach to Unit Commitment Problem. Energy Convers. Mange. 50, 2449–2456 (2009)

    Article  Google Scholar 

  9. Saber, A.Y., Venayagamoorthy, G.K.: Intelligent Unit Commitment with Vehicle-to-grid: A Cost-emission optimization. Journal of Power Sources 195, 898–911 (2010)

    Article  Google Scholar 

  10. Saber, A.Y., Venayagamoorthy, G.K.: Efficient Utilization of Renewable Energy Sources by Gridable Vehicles in Cyber-Physical Energy Systems. IEEE Systems Journal 4, 285–294 (2010)

    Article  Google Scholar 

  11. Saber, A.Y., Venayagamoorthy, G.K.: Plug-in Vehicles and Renewable Energy Sources for Cost and Emission Reductions. IEEE Trans. Industr. Electr. 58, 1229–1238 (2011)

    Article  Google Scholar 

  12. Chakraborty, S., Ito, T., Senjyu, T., Saber, A.Y.: Intelligent Economic Operation of Smart-Grid Facilitating Fuzzy Advanced Quantum Evolutionary Method. IEEE Trans. Sustain. Energy 4, 905–916 (2013)

    Article  Google Scholar 

  13. Madzharov, D., Delarue, E., D’haeseleer W.: Integrating Electric Vehicles as Flexible Load in Unit Commitment Modeling 66, 285–294 (2014)

    Google Scholar 

  14. Talebizadeh, E., Rashidinejad, M., Abdollahi, A.: Evaluation of Plug-in Electric Vehicles Impact on Cost-based Unit Commitment. Journal of Power Sources 248, 545–552 (2014)

    Article  Google Scholar 

  15. Geem, Z.W., Kim, J.H., Loganathan, G.V.: A New Heuristic Optimization Algorithm: Harmony Search. Simulation 76, 60–68 (2001)

    Article  Google Scholar 

  16. Niu, Q., Zhang, H.Y., Li, K., Irwin, G.W.: An Efficient Harmony Search with New Pitch Adjustment for Dynamic Economic Dispatch. Energy 10, 085 (2013)

    Google Scholar 

  17. Modiri, A., Kiasaleh, K.: Modification of Real-Number and Binary PSO Algorithms for Accelecrated Convergence. IEEE Trans. Antennas and Propag. 59, 214–224 (2011)

    Article  Google Scholar 

  18. Omran, M.G.H., Mahdavi, M.: Global-best Harmony Search. Appl. Math. Comput. 198, 643–656 (2008)

    Article  MATH  MathSciNet  Google Scholar 

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Author information

Authors and Affiliations

  1. Shanghai Key Laboratory of Power Station Automation Technology, School of Mechatronic Engineering and Automation, Shanghai University, Shanghai, 200072, China

    Qun Niu, Chao Wang & Letian Zhang

Authors
  1. Qun Niu
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  2. Chao Wang
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  3. Letian Zhang
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Corresponding author

Correspondence to Qun Niu .

Editor information

Editors and Affiliations

  1. Peking University, Beijing, China

    Ying Tan

  2. Xi'an Jiaotong-Liverpool University, Suzhou, China

    Yuhui Shi

  3. Universidade de Pernambuco, Recife, Brazil

    Fernando Buarque

  4. Instituto Politécnico Nacional, Mexico, Mexico

    Alexander Gelbukh

  5. Indian Statistical Institute, Kolkata, India

    Swagatam Das

  6. University of Pretoria, Pretoria, South Africa

    Andries Engelbrecht

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© 2015 Springer International Publishing Switzerland

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Cite this paper

Niu, Q., Wang, C., Zhang, L. (2015). Unit Commitment with Electric Vehicles Based on an Improved Harmony Search Algorithm. In: Tan, Y., Shi, Y., Buarque, F., Gelbukh, A., Das, S., Engelbrecht, A. (eds) Advances in Swarm and Computational Intelligence. ICSI 2015. Lecture Notes in Computer Science(), vol 9140. Springer, Cham. https://doi.org/10.1007/978-3-319-20466-6_7

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  • DOI: https://doi.org/10.1007/978-3-319-20466-6_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-20465-9

  • Online ISBN: 978-3-319-20466-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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