Abstract
Incentive base demand response was a powerful tool for supply-demand balancing in the systems with renewable energy resources. However, renewable energy generation's uncertainties in the supply side become a challenge to implement energy management. This paper proposed improving the usage of renewable generation in the local distribution network among multiple energy carriers. This paper aims to solve the microgrid's renewable energy generation uncertainties and energy management problems with the network-connected structure. The stochastic Weibull distribution function and Beta distribution function are employed to solve wind and solar generation forecasting. For the optimization process, the Particle Swarn Optimization algorithm is used for optimal generation scheduling. The simulation results show that the microgrid energy management with an effective demand response model opens a window for active distribution networks where the electric user can be participating.
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