Results 81 to 90 of about 16,784 (247)

Hybrid Osprey‐Salp Swarm Optimization Algorithm for Single and Multiobjective Optimal Power Flow in Smart Grids With Renewable Energy Integration

open access: yesEnergy Science &Engineering, EarlyView.
The proposed hybrid osprey‐salp swarm optimization algorithm addresses optimal power flow (OPF) problems in smart grids incorporating solar, hydro, and thermal generators. The algorithm is validated on Institute of Electrical and Electronics Engineers 30‐, 57‐, and 118‐bus test systems across five single and multiobjective OPF scenarios.
Mujtaba Ali   +5 more
wiley   +1 more source

State estimation of DC microgrids using manifold optimization and semidefinite programming

open access: yesResults in Engineering
DC microgrids are becoming more common in modern systems, so computation methodologies such as the power flow, the optimal power flow, and the state estimation require being adapted to this new reality.
Oscar Danilo Montoya   +2 more
doaj   +1 more source

Feasibility of Wind‐Powered Green Hydrogen Production via a Hybrid Graph Neural Network‐Transformer Forecasting Model

open access: yesEnergy Science &Engineering, EarlyView.
ABSTRACT Accurate long‐term wind speed forecasting is pivotal for the strategic planning of renewable energy infrastructure, particularly for assessing the techno‐economic feasibility of wind‐powered green hydrogen facilities. However, capturing the complex spatiotemporal dependencies in climate data remains a significant challenge. This study proposes
Iman Baghaei   +2 more
wiley   +1 more source

Multi‐microgrid bi‐layer economic scheduling strategy considering evolutionary‐stackelberg hybrid game of electric vehicles

open access: yesIET Smart Grid
Aiming at the problem that the mobility characteristics of electric vehicles (EVs) lead to the complexity of optimal scheduling among multiple decision‐making subjects, the authors propose a multi‐microgrid bi‐layer economic scheduling strategy ...
Qian Zhang   +4 more
doaj   +1 more source

A Rapid Post‐Disaster Restoration Method for Networked Microgrids Based on Adaptive Quantum Particle Swarm Optimization

open access: yesEnergy Science &Engineering, EarlyView.
To enhance the power restoration speed of networked microgrids (NMGs) after extreme natural disasters and reduce the power outage of the system, this paper proposes a rapid post‐disaster restoration method for NMGs based co‐optimization of fault repair and load restoration.
Yunfan Zhang   +3 more
wiley   +1 more source

Matching of Local Load with On-Site PV Production in a Grid-Connected Residential Building

open access: yesEnergies, 2018
Efficient utilization of renewable generation inside microgrids remains challenging. In most existing studies, the goal is to optimize the energy cost of microgrids by working in synergy with the main grid.
Arslan Ahmad Bashir   +3 more
doaj   +1 more source

Physics‐Informed Neural Networks for Battery Degradation Prediction Under Random Walk Operations

open access: yesQuality and Reliability Engineering International, EarlyView.
ABSTRACT This study addresses the challenge of predicting the state of health (SoH) and capacity degradation in Battery Energy Storage Systems (BESS) under highly variable conditions induced by frequent control adjustments. In environments where random walk behavior prevails due to stochastic control commands, conventional estimation methods often ...
Alaa Selim   +3 more
wiley   +1 more source

Frequency Shaping for Improving a Trade‐Off Between Control and Privacy Performance: Beyond Differential Privacy

open access: yesInternational Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT In privacy protection of control systems, a trade‐off between control performance and privacy level is often pointed out. Our goal in this paper is to improve this trade‐off by shaping the frequency of noise added for privacy protection when the control objective is to track a reference signal, which is taken as a piece of information whose ...
Rintaro Watanabe   +3 more
wiley   +1 more source

Coordinated Control of Energy Storage in Networked Microgrids under Unpredicted Load Demands

open access: yes, 2018
In this paper a nonlinear control design for power balancing in networked microgrids using energy storage devices is presented. Each microgrid is considered to be interfaced to the distribution feeder though a solid-state transformer (SST).
Chakrabortty, Aranya   +3 more
core   +1 more source

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