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An extensive review on energy management system for microgrids
AP Arunkumar, S Kuppusamy… - Energy Sources, Part …, 2022 - Taylor & Francis
Microgrids, a scaled-down version of utility grids, are gaining attention in the last decades.
The distinct features of microgrids such as the utilization of renewable energy resources and …
The distinct features of microgrids such as the utilization of renewable energy resources and …
A comprehensive survey of the application of swarm intelligent optimization algorithm in photovoltaic energy storage systems
S Wang, Y Yue, S Cai, X Li, C Chen, H Zhao, T Li - Scientific Reports, 2024 - nature.com
With the rapid development of renewable energy, photovoltaic energy storage systems (PV-
ESS) play an important role in improving energy efficiency, ensuring grid stability and …
ESS) play an important role in improving energy efficiency, ensuring grid stability and …
An artificial-intelligence-based renewable energy prediction program for demand-side management in smart grids
Technology advancements have enabled the capture of Renewable Energy Sources (RES)
on a massive scale. Smart Grids (SGs) that combine conventional and RES are predicted as …
on a massive scale. Smart Grids (SGs) that combine conventional and RES are predicted as …
[HTML][HTML] Modeling and analysis of cost-effective energy management for integrated microgrids
A microgrid concept is an innovative approach for integrating hybrid and renewable energy
sources into the utility grid. The uncertainties because of the intermittent nature of renewable …
sources into the utility grid. The uncertainties because of the intermittent nature of renewable …
[HTML][HTML] Multi-objective optimal scheduling of a microgrid using oppositional gradient-based grey wolf optimizer
Optimal energy management has become a challenging task to accomplish in today's
advanced energy systems. If energy is managed in the most optimal manner, tremendous …
advanced energy systems. If energy is managed in the most optimal manner, tremendous …
Optimal energy scheduling of grid-connected microgrids with demand side response considering uncertainty
The benefits of more comprehensive energy use and promotion of renewable energy (RE)
consumption enable large-scale microgrid deployment. However, the uncertainty of …
consumption enable large-scale microgrid deployment. However, the uncertainty of …
Techno-economic assessment and environmental impact analysis of hybrid storage system integrated microgrid
Microgrids are designed to utilize renewable energy resources (RER) that are revolutionary
choices in reducing the environmental effect while producing electricity. The RER …
choices in reducing the environmental effect while producing electricity. The RER …
A new MPPT controller based on a modified multiswarm PSO algorithm using an adaptive factor selection strategy for partially shaded PV systems
Maximum power point tracking (MPPT) controller is the main element in photovoltaic (PV)
systems, which is used to ensure maximum power extraction under different meteorological …
systems, which is used to ensure maximum power extraction under different meteorological …
Moving target defense of FDIAs for battery energy storage systems in smart distribution networks
Z Liu, Y Li, Q Wang, J Li - Journal of Energy Storage, 2023 - Elsevier
Accurate state of charge (SoC) estimation of battery energy storage systems is essential for
ensuring the security, stability, and economy of smart distribution networks. However, SoC …
ensuring the security, stability, and economy of smart distribution networks. However, SoC …
[HTML][HTML] An advanced deep neuroevolution model for probabilistic load forecasting
SMJ Jalali, P Arora, BK Panigrahi, A Khosravi… - Electric Power Systems …, 2022 - Elsevier
Probabilistic load forecasting (PLF) is necessary for power system operations and control as
it assists in proper scheduling and dispatch. Moreover, PLF adequately captures the …
it assists in proper scheduling and dispatch. Moreover, PLF adequately captures the …