ENERGY MANAGEMENT OF A MICROGRID USING A NOVEL WAVELET NEURAL NETWORK FOR WIND POWER FORECAST

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Sarshar Javad; Moosapour Seyyed Sajjad; Joorabian Mahmood

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Seminar Paper

Paper Information

Seminar: INTERNATIONAL POWER SYSTEM CONFRENCE
Year:2016 | Issue:31

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Title

ENERGY MANAGEMENT OF A MICROGRID USING A NOVEL WAVELET NEURAL NETWORK FOR WIND POWER FORECAST

Author(s)

Sarshar Javad | Moosapour Seyyed Sajjad | Joorabian Mahmood | Issue Writer Certificate

Keywords

ENERGY MANAGEMNET

MICROGRID

MULTI-OBJECTIVE OPTIMIZATION

WAVELET

NEURAL NETWORK

Abstract

IN THIS PAPER, A MULTI-OBJECTIVE ENERGY MANAGEMENT OF A MICRO-GRID CONSIDERING WAVELET NEURAL NETWORK IN ORDER TO FORECAST THE WIND POWER IS PROPOSED. THE MAIN PURPOSE OF THIS PAPER IS OPTIMIZATION OF THE OPERATION OF MICROGRID REGARDING BOTH ECONOMIC AND EMISSION CRITERIA. THE MICROGRID CONTAINS MICRO-TURBINE (MT), FUEL CELL (FC), PHOTO-VOLTAIC (PV), WIND TURBINE (WT) AND AN ENERGY STORAGE SYSTEM (ESS).OPTIMAL SCHEDULING OF MICRO-GRID NEEDS A PROPER METHOD FOR PREDICTING OF THE WIND POWER. IN THIS PAPER WAVELET NEURAL NETWORK IS UTILIZED TO FORECAST ONE-HOUR AHEAD OF WIND POWER. A COMPREHENSIVE FORMULATION IS PROPOSED TO MODEL THE OPTIMIZATION PROBLEM. IN ORDER TO SOLVE THE OPTIMIZATION PROBLEM, PARETO ENVELOPE-BASED SEARCH ALGORITHM II (PESA-II) IS EMPLOYED. THE OPTIMIZATION ALGORITHM PRODUCES SOME PARETO SOLUTIONS WHICH CONSIST OF DIFFERENT COMBINATIONS OF OBJECTIVES (COST AND EMISSION). IN ORDER TO MAKE A COMPROMISED DECISION BETWEEN THE SOLUTIONS, TOPSIS (TECHNIQUES FOR ORDER PREFERENCE BY SIMILARITY TO AN IDEAL SOLUTION) METHOD IS EMPLOYED. FINALLY THE PROPOSED ALGORITHM IS APPLIED TO A TYPICAL MICRO-GRID. THE RESULTS DEMONSTRATE EFFICIENCY OF THE PROPOSED APPROACH IN SATISFYING THE LOAD AND DEGRADING THE COST AND EMISSION IN ONE DAY OPERATION.

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APA: Copy

Sarshar, Javad, Moosapour, Seyyed Sajjad, & Joorabian, Mahmood. (2016). ENERGY MANAGEMENT OF A MICROGRID USING A NOVEL WAVELET NEURAL NETWORK FOR WIND POWER FORECAST. INTERNATIONAL POWER SYSTEM CONFRENCE. SID. https://sid.ir/paper/939871/en

Vancouver: Copy

Sarshar Javad, Moosapour Seyyed Sajjad, Joorabian Mahmood. ENERGY MANAGEMENT OF A MICROGRID USING A NOVEL WAVELET NEURAL NETWORK FOR WIND POWER FORECAST. 2016. Available from: https://sid.ir/paper/939871/en

IEEE: Copy

Javad Sarshar, Seyyed Sajjad Moosapour, and Mahmood Joorabian, “ENERGY MANAGEMENT OF A MICROGRID USING A NOVEL WAVELET NEURAL NETWORK FOR WIND POWER FORECAST,” presented at the INTERNATIONAL POWER SYSTEM CONFRENCE. 2016, [Online]. Available: https://sid.ir/paper/939871/en

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