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:

309
مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Download:

94
مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Cites:

Information Journal Paper

Title

SINGLE AND MULTI‑ OBJECTIVE OPERATION MANAGEMENT OF MICRO‑ GRID USINGKRILL HERD OPTIMIZATION AND ANT LION OPTIMIZER ALGORITHMS

Pages

  257-271

Abstract

 In this paper, two recent heuristic optimization algorithms are presented to optimally manage the operation of the microgrid(MG) with installed renewable energy sources (RESs); krill herd (KH) optimization and ANT LION OPTIMIZER (ALO)algorithms. The first algorithm is used for solving single-objective function represents either total operation cost or totalpollutant emission injected from the installed generating units while ALO is applied to solve the multi-objective function ofboth total operating cost and emission. The problem is formulated as nonlinear constrained objective function with equalityand inequality constraints. In this work; the devices installed in MGs are photovoltaic panel (PV), wind turbine (WT), microturbine(MT), fuel cell (FC), battery and grid. Two scenarios are studied; the first one is optimizing MG with installing allRESs within specified limits in addition to grid, while the second scenario is operating both PV and WT at their rated powers. The obtained results are compared with different reported algorithms like genetic algorithm (GA), Fuzzy self-adaptivePSO (FSAPSO) and others programmed like particle swarm optimization (PSO), grey-wolf optimizer (GWO) and whaleoptimization algorithm (WOA). For first scenario; the proposed KH gives the best optimal cost of 105. 94 € ct while the bestemission is 420. 57 kg, the best optimal cost and emission of 592. 86 € ct 339. 71 kg are obtained via KH in the second scenario.

Multimedia

  • No record.

    • Cites

  • No record.

    • References

  • No record.

    • Cite

    APA: Copy

    FATHY, AHMED, & ABDELAZIZ, ALMOATAZ Y.. (2018). SINGLE AND MULTI‑ OBJECTIVE OPERATION MANAGEMENT OF MICRO‑ GRID USINGKRILL HERD OPTIMIZATION AND ANT LION OPTIMIZER ALGORITHMS. INTERNATIONAL JOURNAL OF ENERGY AND ENVIRONMENTAL ENGINEERING, 9(3), 257-271. SID. https://sid.ir/paper/327245/en

    Vancouver: Copy

    FATHY AHMED, ABDELAZIZ ALMOATAZ Y.. SINGLE AND MULTI‑ OBJECTIVE OPERATION MANAGEMENT OF MICRO‑ GRID USINGKRILL HERD OPTIMIZATION AND ANT LION OPTIMIZER ALGORITHMS. INTERNATIONAL JOURNAL OF ENERGY AND ENVIRONMENTAL ENGINEERING[Internet]. 2018;9(3):257-271. Available from: https://sid.ir/paper/327245/en

    IEEE: Copy

    AHMED FATHY, and ALMOATAZ Y. ABDELAZIZ, “SINGLE AND MULTI‑ OBJECTIVE OPERATION MANAGEMENT OF MICRO‑ GRID USINGKRILL HERD OPTIMIZATION AND ANT LION OPTIMIZER ALGORITHMS,” INTERNATIONAL JOURNAL OF ENERGY AND ENVIRONMENTAL ENGINEERING, vol. 9, no. 3, pp. 257–271, 2018, [Online]. Available: https://sid.ir/paper/327245/en

    Related Journal Papers

  • No record.

    • 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