This study is motivated by the evidence of global warming, which is caused by human activity but affects the efficiency of the economy. We employ the integrated assessment Nordhaus DICE-2007 model [16]. Generally speaking, the framework is that of dynamic optimization of the discounted...

This paper proposes a solution method for the discrete-time long-term dynamic portfolio optimization problem with state and asset allocation constraints. We use the ideas of Model Predictive Control (MPC) to solve the constrained stochastic control problem. MPC is a solution technique which was...

In this paper we deal with the problem of efficiently optimizing microgrid operations while satisfying a time-varying request and operation constraints. Microgrids are subsystems of the distribution grid comprising sufficient generating resources to operate in isolation from the main grid, in a...

This paper deals with the application of an anticipating and coordinating feedback control scheme in order to mitigate the long-term voltage instability of multi-area power systems. Each local area is uniquely controlled by a control agent (CA) selecting control values based on model predictive...

A method for an efficient operation of a battery energy storage system (BESS) associated with frequency control problem is presented in this paper. A control system model is proposed to simulate the operation of BESS, and a controller is designed. The strategy is based on model predictive...

This paper deals with fuzzy model based multivariable predictive control (FMMPC) for wind turbine generator. Using Linear Matrix Inequalities (LMI) technique combined with predictive approach, a FMMPC law is designed easily by solving a convex optimization problem subject to LMI conditions....