Over the past few decades, the demand for electricity has grown rapidly because of the rapid growth of the global economy and population. Traditional power supply is dominated by non-renewable fossil energy (e.g., coal and oil), whose accelerated consumption has caused serious pollution problems. Therefore, the need to develop clean and renewable energy is becoming more and more urgent. In recent years, wind and solar energy have become widely used worldwide. Nevertheless, wind and PV power are characterized by high fluctuation, poor controllability, and low forecast accuracy because they are easily affected by changes in the natural environment, such as temperature, illumination intensity and air humidity. Thus, the integration of large-scale wind and PV power will present great challenges to the safety and stability of power system operation.
A common way to increase the controllability of wind and PV power and reduce their adverse impact on the power grids is to combine them and controllable power sources, such as hydropower, thermal power, pumped-storage hydropower and battery, into a hybrid system. Also, accurate new energy power prediction is very important for the reliable and secure operation of hybrid energy systems.
This Research Topic focuses on forecasting and optimization models of hybrid energy systems and the resulting effects on the power system optimum operation. The topics can cover techniques related to new energy power prediction, capacity planning, optimal operation and control strategy of hybrid energy systems including new energy resources.
Multiple aspects of the hybrid energy system applications can be included in the list of topics. The topics of interest include, but are not limited to:
(1) New energy forecasting techniques
(2) Analysis of uncertainty in renewable energy systems
(3) Capacity planning for hybrid energy systems
(4) Intelligent dispatching technology for hybrid energy system
(5) Participation of renewable energy in the electricity market
(6) Real-time control of hybrid energy systems
(7) Optimal operation and control of energy storage facilities
Over the past few decades, the demand for electricity has grown rapidly because of the rapid growth of the global economy and population. Traditional power supply is dominated by non-renewable fossil energy (e.g., coal and oil), whose accelerated consumption has caused serious pollution problems. Therefore, the need to develop clean and renewable energy is becoming more and more urgent. In recent years, wind and solar energy have become widely used worldwide. Nevertheless, wind and PV power are characterized by high fluctuation, poor controllability, and low forecast accuracy because they are easily affected by changes in the natural environment, such as temperature, illumination intensity and air humidity. Thus, the integration of large-scale wind and PV power will present great challenges to the safety and stability of power system operation.
A common way to increase the controllability of wind and PV power and reduce their adverse impact on the power grids is to combine them and controllable power sources, such as hydropower, thermal power, pumped-storage hydropower and battery, into a hybrid system. Also, accurate new energy power prediction is very important for the reliable and secure operation of hybrid energy systems.
This Research Topic focuses on forecasting and optimization models of hybrid energy systems and the resulting effects on the power system optimum operation. The topics can cover techniques related to new energy power prediction, capacity planning, optimal operation and control strategy of hybrid energy systems including new energy resources.
Multiple aspects of the hybrid energy system applications can be included in the list of topics. The topics of interest include, but are not limited to:
(1) New energy forecasting techniques
(2) Analysis of uncertainty in renewable energy systems
(3) Capacity planning for hybrid energy systems
(4) Intelligent dispatching technology for hybrid energy system
(5) Participation of renewable energy in the electricity market
(6) Real-time control of hybrid energy systems
(7) Optimal operation and control of energy storage facilities
