This chapter investigates an advanced MPC based EMS of an MG comprising a grid-tied PV system a WT, and a BSS. The model uses a Smart Meetring System (SMS) to collect data from various electrical components of the microgrid. The power optimization strategy is modeled under demand response, including ToU pricing to create an efficient home energy flow. Different control strategies are developed to coordinate energy expenses, expressed as the cost of minimizing electricity supplied by the UG and maximizing the energy sold to the grid.

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Model Predictive Control Based Strategy for Hybrid Microgrid

  • Mohammed Ouassaid,
  • Rajaa Naji El Idrissi,
  • Meryeme Azaroual

摘要

This chapter investigates an advanced MPC based EMS of an MG comprising a grid-tied PV system a WT, and a BSS. The model uses a Smart Meetring System (SMS) to collect data from various electrical components of the microgrid. The power optimization strategy is modeled under demand response, including ToU pricing to create an efficient home energy flow. Different control strategies are developed to coordinate energy expenses, expressed as the cost of minimizing electricity supplied by the UG and maximizing the energy sold to the grid.