A scenario-based stochastic model for day-ahead energy management of a multi-carrier microgrid considering uncertainty of electric vehicles
Abstract
This paper presents a scenario-based stochastic management algorithm to deal with scheduling the optimal operation of a multi-carrier microgrid (MG). The proposed framework of the multi-carrier MG comprises of wind turbine (WT), photovoltaic (PV) panel, fuel cell (FC), microturbine (MT), boiler, combined heat and power (CHP) unit, electrical load, thermal load, hydrogen load, electrical energy storage,
- Publication:
-
Journal of Energy Storage
- Pub Date:
- August 2022
- DOI:
- 10.1016/j.est.2022.104843
- Bibcode:
- 2022JEnSt..5204843E
- Keywords:
-
- Electric vehicle;
- Multi-carrier microgrid;
- Renewable energy;
- Stochastic energy management;
- Uncertainty