… or magnificently apply MPC to system dispatch and control. However, there are still some
research gaps in this field. (1) A certain number of researches on CIES optimal dispatch didn’t …

… In addition, dimensionality is critical when solving a dynamic dispatch … a dynamic environment,
we use our proposed distributed approaches ([6], [7]) based on model predictive control (…

… problem considering conventional generator fuel and carbon emission … optimal dispatch
strategy of the DCMG constitutes the MILP problem. Based on MATLAB software, this article uses…

… plant uses its dynamic model to predict the future generating … and pollutant emission quantities
of the load dispatch control … multi-objective load dynamic dispatch control of biomass CHP …

… Some other aspects, such as the grid stability, the battery degradation, and the emissions, …
In this study, the time-of-use (TOU) tariff scheme of Changsha was adopted, as depicted in …

… model predictive control (MPC) also known as recedinghorizon optimization (RHO) is an
advanced technique that uses an explicit model … operation cost and emissions. The microgrid …

… model predictive control (EMPC) of microgrid connected photovoltaic-diesel generator backup
system under time of use … greenhouse gases (GHG) emissions which are harmful to the …

… During the real-time adjustment, a distributed model predictive control method is proposed
to … model predictive control strategy proposed in this paper can increase the speed of optimal …

… positively correlated with the emission of greenhouse gases … that the carbon dioxide emissions
of the shipping industry will … implementation of a real-time model predictive controller for …

… generation, reducing the fossil power generation to decrease the carbon dioxide emission
[1… costs, a control strategy is essential to optimize the BESS's use and reduce the capacity and …