Optimal Dispatching of Smart Hybrid Energy Systems for Addressing a Low-Carbon Community

A smart hybrid energy system (SHES) is presented using a combination of battery, PV systems, and gas/diesel engines. The economic/environmental dispatch optimization algorithm (EEDOA) employed to minimize the total operating cost or CO2 emission. In face uncertainty renewable power generation, constraints for loss-of-load probability (LOLP) reserve rechargeable battery are taken into account compensating imbalance between load demand supplies. grid-connected islanded modes SHES demonstrated address low-carbon community. For forecasting demand, power, locational-based marginal pricing (LBMP), proper forecast model, such as long short-term memory (LSTM) extreme gradient boosting (XGBoost), implemented improve EEDOA. few comparisons show that (i) mode superior islanded-connected due lower less CO2-eq emissions, (ii) forecast-assisted EEDOA could effectively reduce emissions both compared no