The future energy internet for utility energy service and demand-side management in smart grid: Current practices, challenges and future directions
The energy internet (EI) integrated with smart grid (SG) has been a growing and emerging
technology that manages and controls towards reliability, security, data integrity, demand …
technology that manages and controls towards reliability, security, data integrity, demand …
Review of restoration technology for renewable‐dominated electric power systems
With the rapid development of renewable energy generation and multi‐energy system
technologies, reviewing and discussing the emerging power system restoration methods …
technologies, reviewing and discussing the emerging power system restoration methods …
Data-driven dynamical control for bottom-up energy Internet system
With the increasing concern on climate change and global warming, the reduction of carbon
emission becomes an important topic in many aspects of human society. The development …
emission becomes an important topic in many aspects of human society. The development …
A distributed robust economic dispatch strategy for integrated energy system considering cyber-attacks
Distributed algorithms are increasingly being used to solve the economic dispatch problem
of integrated energy systems (IESs) because of their high flexibility and strong robustness …
of integrated energy systems (IESs) because of their high flexibility and strong robustness …
Indirect multi-energy transactions of energy internet with deep reinforcement learning approach
With the new feature of multi-energy coupling and the advancement of the energy market,
Energy Internet (EI) has higher requirements for the efficiency and applicability of integrated …
Energy Internet (EI) has higher requirements for the efficiency and applicability of integrated …
Data-driven optimal control strategy for virtual synchronous generator via deep reinforcement learning approach
This paper aims at developing a data-driven optimal control strategy for virtual synchronous
generator (VSG) in the scenario where no expert knowledge or requirement for system …
generator (VSG) in the scenario where no expert knowledge or requirement for system …
Neural-network-based finite-time bipartite containment control for fractional-order multi-agent systems
Y Liu, H Zhang, Z Shi, Z Gao - IEEE Transactions on Neural …, 2022 - ieeexplore.ieee.org
This article focuses on the adaptive bipartite containment control problem for the nonaffine
fractional-order multi-agent systems (FOMASs) with disturbances and completely unknown …
fractional-order multi-agent systems (FOMASs) with disturbances and completely unknown …
Co-optimization of multi-energy system operation, district heating/cooling network and thermal comfort management for buildings
The ongoing decarbonization of the energy sector spurs the employment of distributed
generation and efficient load control approaches (demand side management). This work …
generation and efficient load control approaches (demand side management). This work …
Microgrid energy management using metaheuristic optimization algorithms
This article addresses the economic dispatch problem of microgrids. Firstly, it presents the
application of both traditional and newly introduced metaheuristic optimization algorithms to …
application of both traditional and newly introduced metaheuristic optimization algorithms to …
Distributed optimal economic environmental dispatch for microgrids over time-varying directed communication graph
This paper investigates the combined economic environmental dispatch problem of
Microgrids in a distributed manner. In order to optimize the competing agminated operation …
Microgrids in a distributed manner. In order to optimize the competing agminated operation …