Real-time stochastic power management strategies in hybrid renewable energy systems: A review of key applications and perspectives
Given their highly stochastic features, the hasten increase of renewable energy sources
contribution in the global energy balance issues a strong impact on power systems …
contribution in the global energy balance issues a strong impact on power systems …
Hydrogen storage based micro-grid: A comprehensive review on technology, energy management and planning techniques
There has been a steep increase in the global micro-grid market. The micro-grid provides
integration of different types of renewable and nonrenewable technologies. The integration …
integration of different types of renewable and nonrenewable technologies. The integration …
Multistage dynamic planning of integrated hydrogen-electrical microgrids under multiscale uncertainties
Integrated Hydrogen-Electrical (IHE) microgrids are desirable testbeds for the practice of
carbon-neutral energy supply. This paper studies the IHE microgrids planning (IHEMP) …
carbon-neutral energy supply. This paper studies the IHE microgrids planning (IHEMP) …
Operation of a high renewable penetrated power system with CSP plants: A look-ahead stochastic unit commitment model
The integration of variable renewable energy (VRE) generation, ie, wind power and solar
photovoltaic, brings significant uncertainty for the power system operation. Different with …
photovoltaic, brings significant uncertainty for the power system operation. Different with …
Multi-stage stochastic programming to joint economic dispatch for energy and reserve with uncertain renewable energy
To address the uncertain renewable energy in the day-ahead optimal dispatch of energy
and reserve, a multi-stage stochastic programming model is established in this paper to …
and reserve, a multi-stage stochastic programming model is established in this paper to …
Stochastic dispatch of energy storage in microgrids: An augmented reinforcement learning approach
The dynamic dispatch (DD) of battery energy storage systems (BESSs) in microgrids
integrated with volatile energy resources is essentially a multiperiod stochastic optimization …
integrated with volatile energy resources is essentially a multiperiod stochastic optimization …
Energy management and optimal storage sizing for a shared community: A multi-stage stochastic programming approach
The aim of this paper is to propose a new energy management framework and storage
sizing for a community composed of multiple houses and distributed solar generation …
sizing for a community composed of multiple houses and distributed solar generation …
A distributed game methodology for crowdsensing in uncertain wireless scenario
With the exponentially increasing number of mobile devices, crowdsensing has been a hot
topic to use the available resource of neighbor mobile devices to perform sensing tasks …
topic to use the available resource of neighbor mobile devices to perform sensing tasks …
A review of optimal control methods for energy storage systems-energy trading, energy balancing and electric vehicles
This paper reviews recent works related to optimal control of energy storage systems. Based
on a contextual analysis of more than 250 recent papers we attempt to better understand …
on a contextual analysis of more than 250 recent papers we attempt to better understand …
The role of intelligent generation control algorithms in optimizing battery energy storage systems size in microgrids: A case study from Western Australia
Battery energy storage systems can play a substantial role in maintaining low-cost operation
in microgrids, and therefore finding their optimal size is a key element of microgrids' …
in microgrids, and therefore finding their optimal size is a key element of microgrids' …