Integration of renewable energy in microgrids and smart grids in deregulated power systems: a comparative exploration
In recent years, the importance of deregulated power systems has grown significantly,
resulting in positive effects on stability, reliability, innovation, and investment in new energy …
resulting in positive effects on stability, reliability, innovation, and investment in new energy …
Role of metaheuristics in optimizing microgrids operating and management issues: a comprehensive review
The increased interest in renewable-based microgrids imposes several challenges, such as
source integration, power quality, and operating cost. Dealing with these problems requires …
source integration, power quality, and operating cost. Dealing with these problems requires …
[HTML][HTML] Probabilistic optimal power flow in power systems with renewable energy integration using enhanced walrus optimization algorithm
This paper presents a novel approach to solve the Probabilistic Optimal Power Flow (POPF)
problem using the Enhanced Walrus Optimization (EWO) Algorithm. The proposed EWO is …
problem using the Enhanced Walrus Optimization (EWO) Algorithm. The proposed EWO is …
A Comprehensive Survey on Artificial Electric Field Algorithm: Theories and Applications
The artificial electric field algorithm (AEFA) is a population-based metaheuristic optimization
algorithm. It is inspired by the electrostatic field theory and fundamental laws of physics. The …
algorithm. It is inspired by the electrostatic field theory and fundamental laws of physics. The …
Impacts of High PV Penetration on Slovenia's Electricity Grid: Energy Modeling and Life Cycle Assessment
The complexities of high PV penetration in the electricity grid in Slovenia based on targets
proposed in national energy and climate plan were explored. Scenarios modeled an …
proposed in national energy and climate plan were explored. Scenarios modeled an …
Management of Var sources for the reactive power planning problem by oppositional Harris Hawk optimizer
Reactive power management has grown more crucial for increased synchronization in
modern power systems, since transmission loss minimization is a basic condition for secure …
modern power systems, since transmission loss minimization is a basic condition for secure …
Efficient energy routing in smart grid networks using fractional knapsack and dijkstra algorithm
Smart Grids (SG) have opened up new avenues for research, particularly in the field of
energy routing. However, energy routing poses several challenges such as identifying the …
energy routing. However, energy routing poses several challenges such as identifying the …
[HTML][HTML] Fair Energy Trading in Blockchain-Inspired Smart Grid: Technological Barriers and Future Trends in the Age of Electric Vehicles
The global electricity demand from electric vehicles (EVs) increased by 3631% over the last
decade, from 2600 gigawatt hours (GWh) in 2013 to 97,000 GWh in 2023. The global …
decade, from 2600 gigawatt hours (GWh) in 2013 to 97,000 GWh in 2023. The global …
Whale Optimization for Cloud–Edge-Offloading Decision-Making for Smart Grid Services
As IoT metering devices become increasingly prevalent, the smart energy grid encounters
challenges associated with the transmission of large volumes of data affecting the latency of …
challenges associated with the transmission of large volumes of data affecting the latency of …
Smart cities stochastic secured energy management framework in digital twin: Policy frameworks for promoting sustainable urban development in smart cities
KR Liu, SL Zhang - Sustainable Energy Technologies and Assessments, 2024 - Elsevier
This paper introduces an innovative integrated policy secure framework employing
blockchain technology to effectively handle optimal structure switching within microgrids …
blockchain technology to effectively handle optimal structure switching within microgrids …