مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Verion

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

video

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

sound

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Version

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

View:

3,136
مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Download:

0
مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Cites:

Information Journal Paper

Title

RESULTS COMPARISON OF EMPLOYING PSO, GA AND SA ALGORITHMS IN OPTIMIZING RESERVOIR OPERATION (CASE STUDY: SHAHARCHAI DAM, URMIA, IRAN)

Pages

  1101-1108

Abstract

 With respect to necessity of the optimum use of water resources and existence of many various OPTIMIZATION methods, in this study 3 kinds of heuristic algorithms have been used including Particle Swarm OPTIMIZATION, GENETIC ALGORITHM and SIMULATED ANNEALING to optimize the operation of Shaharchai dam reservoir as an application. The OPTIMIZATION was carried out considering the probability of inflow for a period of 5 years. In order to obtain the best operation of reservoir, monthly release was defined as a second order polynomial according to storage volume and inflow, and different parameters of these algorithms have been adjusted to minimize the objective function in which supplying the required demand of downstream was defined as the target. The best state of each algorithm is selected through 10 times running of programs (due to intrinsic random behavior of algorithms) and the results comparison leads to realization of which method can perform the best. According to the results, Particle Swarm OPTIMIZATION method operates more effectively and produces the best results in solving reservoir operation problems. So as an application, control curves of release and storage volume have been extracted for Shaharchai dam reservoir using this method.

Cites

  • No record.
  • References

  • No record.
  • Cite

    APA: Copy

    AZARAFZA, H., REZAEI, H., BEHMANESH, J., & BESHARAT, S.. (2013). RESULTS COMPARISON OF EMPLOYING PSO, GA AND SA ALGORITHMS IN OPTIMIZING RESERVOIR OPERATION (CASE STUDY: SHAHARCHAI DAM, URMIA, IRAN). JOURNAL OF WATER AND SOIL (AGRICULTURAL SCIENCES AND TECHNOLOGY), 26(5), 1101-1108. SID. https://sid.ir/paper/141099/en

    Vancouver: Copy

    AZARAFZA H., REZAEI H., BEHMANESH J., BESHARAT S.. RESULTS COMPARISON OF EMPLOYING PSO, GA AND SA ALGORITHMS IN OPTIMIZING RESERVOIR OPERATION (CASE STUDY: SHAHARCHAI DAM, URMIA, IRAN). JOURNAL OF WATER AND SOIL (AGRICULTURAL SCIENCES AND TECHNOLOGY)[Internet]. 2013;26(5):1101-1108. Available from: https://sid.ir/paper/141099/en

    IEEE: Copy

    H. AZARAFZA, H. REZAEI, J. BEHMANESH, and S. BESHARAT, “RESULTS COMPARISON OF EMPLOYING PSO, GA AND SA ALGORITHMS IN OPTIMIZING RESERVOIR OPERATION (CASE STUDY: SHAHARCHAI DAM, URMIA, IRAN),” JOURNAL OF WATER AND SOIL (AGRICULTURAL SCIENCES AND TECHNOLOGY), vol. 26, no. 5, pp. 1101–1108, 2013, [Online]. Available: https://sid.ir/paper/141099/en

    Related Journal Papers

    Related Seminar Papers

  • No record.
  • Related Plans

  • No record.
  • Recommended Workshops






    Move to top
    telegram sharing button
    whatsapp sharing button
    linkedin sharing button
    twitter sharing button
    email sharing button
    email sharing button
    email sharing button
    sharethis sharing button