Energy Management for Grid-connected Micro Grid with Renewable Energies and Dispatched Loads

This paper focused on energy management program for grid-connected micro grid with renewable generation and electric vehicles. The proposed program, including energy purchase and self-scheduling problems, aimed to minimize energy cost based on forecasting of loads, prices and renewable generations and was solved with genetic algorithm and pattern search methods. Furthermore, it adopts the expectation model and Monte Carlo methods to solve the uncertainty problems. Simulation results proved the effectiveness of the proposed program.

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Analizowano zarządzanie energią w sieci typu microgrid. Celem jest minimalizacja kosztów bazująca na przewidywaniu obciążenia. Wykorzystano algorytmy genetyczne oraz metodę Monte Carlo.