Optimal location and sizing of distributed generators and energy storage systems in microgrids: A review
LF Grisales-Noreña, BJ Restrepo-Cuestas… - Energies, 2022 - mdpi.com
This article reviews the main methodologies employed for the optimal location, sizing, and
operation of Distributed Generators (DGs) and Energy Storage Systems (ESSs) in electrical …
operation of Distributed Generators (DGs) and Energy Storage Systems (ESSs) in electrical …
Multi-criteria evaluation and optimization of a novel thermodynamic cycle based on a wind farm, Kalina cycle and storage system: an effort to improve efficiency and …
L Zhu, F Zhang, Q Zhang, Y Chen… - Sustainable Cities and …, 2023 - Elsevier
Although a liquid air energy storage system (LAESS) as a cutting-edge system can provide
higher energy density, no geographical limitation and relatively low overall cost compared to …
higher energy density, no geographical limitation and relatively low overall cost compared to …
Life-cycle cost (LCC) applied to hydrogen technologies: a review
Purpose The aim of this research is to carry out a literature review on the use of life-cycle
cost (LCC) approaches for hydrogen technologies, by analysing its evolution over a decade …
cost (LCC) approaches for hydrogen technologies, by analysing its evolution over a decade …
[HTML][HTML] Optimal management algorithm of microgrid connected to the distribution network considering renewable energy system uncertainties
Renewable energy systems have been introduced into Microgrids (MGs) due to
environmental issues and fossil fuel depletion. This paper presents a new management …
environmental issues and fossil fuel depletion. This paper presents a new management …
Resilience and reliable integration of PV-wind and hydropower based 100% hybrid renewable energy system without any energy storage system for inaccessible area …
Achieving sustainable development goals requires off-grid electrification of remote areas
using sustainable energy systems (SES). However, capacity planning for SES is challenging …
using sustainable energy systems (SES). However, capacity planning for SES is challenging …
A techno-economic investigation of grid integrated hybrid renewable energy systems
The present work investigates the techno-economic-environmental feasibility analysis of a
grid-connected hybrid system as a microgrid in the western Himalayan region, using local …
grid-connected hybrid system as a microgrid in the western Himalayan region, using local …
Techno-economic analysis of grid-connected hybrid renewable energy system adapting hybrid demand response program and novel energy management strategy
Over the last two decades, there has been a significant interest in developing solutions to
improve the efficiency of power systems, such as optimal energy consumption and …
improve the efficiency of power systems, such as optimal energy consumption and …
Hydrogen energy storage integrated grid: A bibliometric analysis for sustainable energy production
Hydrogen energy storage and grid integration are emerging as key technologies for efficient
energy generation and decarbonization, addressing the unpredictability of renewable …
energy generation and decarbonization, addressing the unpredictability of renewable …
Energy generation and storing electrical energy in an energy hybrid system consisting of solar thermal collector, Stirling engine and thermoelectric generator
H Dong, J Liu, T Meng, M Li, X Chen, N Li… - Sustainable Cities and …, 2021 - Elsevier
Energy researchers believe that by storing energy the frequency and voltage of renewable
energy systems can be better controlled and increases the use of renewable electricity by …
energy systems can be better controlled and increases the use of renewable electricity by …
Quantifying the effects of forecast uncertainty on the role of different battery technologies in grid-connected solar photovoltaic/wind/micro-hydro micro-grids: An optimal …
Designing a reliable and robust micro-grid (MG) aided by energy storage devices requires
quantifying the parametric uncertainty associated with input data time-series, among other …
quantifying the parametric uncertainty associated with input data time-series, among other …