Abstract:
Existing economic dispatch mechanisms fails to operate e ectively in case of microgrid
with high penetration of renewable energy resources (RESs). An intelligent control
technique is required that can tackle both variability and unpredictability of RESs while
satisfying time varying load demands without violating operation constraints. In this
paper, we propose a MPC scheme for islanded microgrid for hourly economic dispatch
of generators, storage units and RESs. MPC, subjected to constraints and forecasts,
aims at minimizing running cost of microgrid along with rewarding renewable power
infeed. In order to have higher forecasting accuracy, SVM approach is adopted for day
ahead hourly load forecasting. Multi-layer perceptron based neural network is used for
PV array output forecast. System is modelled using MILP. MPC uses load and solar
output forecast data and solves optimal control problem subjected to constraints and
generates optimal power dispatch plan at each time instant.First generated sequence is
applied and horizon is shifted to next time instant after executing the rst step of the
previously determined schedule thereby dynamically adjusting and self-correcting itself
for future time steps. The results depict the e ectiveness of this metho
