Abstract
In this paper, a class of mixed H2/H∞ controller is designed for an energy router (ER) within the scenario of an energy Internet (EI). The considered ER is assumed to have access with photovoltaic panels, wind turbine generators, micro-turbines, fuel cells, diesel engine generators, battery energy storage devices, flywheel energy storage devices, loads, and other ERs. Two types of control targets are considered. First, due to the access of large-scale renewable energy sources, the DC bus voltage deviation within the ER system shall be regulated. Second, an optimal energy management strategy shall be achieved, such that the autonomous power supply-demand balance within each ER is achieved with priority and the rational utilization of controllable power generation devices and energy storage devices are realized. When these objectives are considered simultaneously, the control issues with respect to ER is formulated as a mixed robust H2/H∞ control problem with analytical solutions provided. Several numerical examples are given, and the feasibility and effectiveness of the proposed method are demonstrated.
Highlights
It is notable that voltage stabilization of the energy router (ER)’s DC bus can be naturally obtained with a capacitor directly connected to the DC bus, which is regarded as possible future complementary work
Conclusions connecting the capacitor to the DC bus is a major improvement for the short-term transient stability of typicalHere, ER system an energy Internet (EI) scenario has is been this for paper
DCensure bus stability robust stability of the DC bus voltage and the rational energy managemnet strategy, ordinary differential equations (ODEs) are used to be achieved when supercapacitors are connected to DC bus
Summary
With the deterioration of the global environmental issues and the development of renewable energy technology, researchers are increasingly inclined to use renewable energy, e.g., wind power, solar power, hydro power, etc. As a new energy architecture, EI can be compatible with conventional power grids and can make full use of distributed RESs [4]. It provides a common energy exchange and sharing platform for energy consumers [5]. The changes of real-time electricity price and operation mode are random [10] In this sense, stochastic characteristics appear in EI systems and the related control, optimization, and scheduling are becoming challenging [11]. The implementation of distributed power generation, energy storage, and demand side response lead to huge data, including meteorological information, electricity usage custom and energy storage status [12]. ERs can effectively control the power quality and optimize the energy transmission cost by collecting and processing energy information
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
