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Stochastic Optimal Energy Management of Microgrid Based on Adaptive Neuro-Fuzzy Inference System by Transmission Line Power Control with D-FACTS Equipment
Tabriz Journal of Electrical Engineering
unpublished
This paper focus on optimal scheduling of microgrid based on adaptive neuro-fuzzy inference system including thermal and electrical loads, renewable energy sources (solar and wind), CHP, conventional energy sources (boiler and micro turbine), energy storage systems (thermal and electrical storage), and D-FACTS devices. D-FACTS are included in the line between main network and microgrid to achieve more power transfer to the upstream grid. In the proposed planning, wind speed, solar radiation,
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