Model predictive control—status and challenges
X Yu-Geng, L De-Wei, L Shu - Acta Automatica Sinica, 2013 - Elsevier
For the last 30 years the theory and technology of model predictive control (MPC) have been
developed rapidly. However, facing the increasing requirements on the constrained …
developed rapidly. However, facing the increasing requirements on the constrained …
The University of Genoa smart polygeneration microgrid test-bed facility: The overall system, the technologies and the research challenges
Nowadays, as set by the EU 20-20-20 targets, the reduction of primary energy use and
greenhouse gas emissions in the energy sector can be attained by increasing the use of …
greenhouse gas emissions in the energy sector can be attained by increasing the use of …
Demand side management of photovoltaic-battery hybrid system
In the electricity market, customers have many choices to reduce electricity cost if they can
economically schedule their power consumption. Renewable hybrid system, which can …
economically schedule their power consumption. Renewable hybrid system, which can …
MPC: Current practice and challenges
ML Darby, M Nikolaou - Control Engineering Practice, 2012 - Elsevier
Linear Model Predictive Control (MPC) continues to be the technology of choice for
constrained, multivariable control applications in the process industry. Successful …
constrained, multivariable control applications in the process industry. Successful …
Differential evolution based on migrating variables for the combined heat and power dynamic economic dispatch
D Zou, D Gong - Energy, 2022 - Elsevier
A differential evolution using migrated variables is proposed to deal with the combined heat
and power dynamic economic dispatch problems in this paper. The new differential …
and power dynamic economic dispatch problems in this paper. The new differential …
Multi-objective dynamic economic emission dispatch of electric power generation integrated with game theory based demand response programs
The dynamic economic emission dispatch (DEED) of electric power generation is a multi-
objective mathematical optimization problem with two objective functions. The first objective …
objective mathematical optimization problem with two objective functions. The first objective …
Switched model predictive control for energy dispatching of a photovoltaic-diesel-battery hybrid power system
A new adaptive switched model predictive control (MPC) strategy is designed in this brief for
energy dispatching of a photovoltaic-diesel-battery hybrid power system, where the battery …
energy dispatching of a photovoltaic-diesel-battery hybrid power system, where the battery …
Differential evolution: a survey on their operators and variants
Abstract The Differential Evolution (DE) algorithm is one of the most popular and studied
approaches in Evolutionary Computation (EC). Its simple but efficient design, such as its …
approaches in Evolutionary Computation (EC). Its simple but efficient design, such as its …
Energy dispatch strategy for a photovoltaic–wind–diesel–battery hybrid power system
In this paper, an energy dispatch model that satisfies the load demand, taking into account
the intermittent nature of the solar and wind energy sources and variations in demand, is …
the intermittent nature of the solar and wind energy sources and variations in demand, is …
Model predictive control for improving operational efficiency of overhead cranes
Abstract Model predictive control (MPC) has been successfully applied to many
transportation systems. For the control of overhead cranes, existing MPC approaches mainly …
transportation systems. For the control of overhead cranes, existing MPC approaches mainly …