Results 51 to 60 of about 27,200 (208)
Combining solutions of the optimum satisfiability problem using evolutionary tunneling
The optimum satisfiability problem involves determining values for Boolean variables to satisfy a Boolean expression, while maximizing the sum of coefficients associated with the variables chosen to be true.
Rodrigo Ferreira da Silva +2 more
doaj +1 more source
This study proposes a novel Asymmetrical‐Fuzzy Two‐Degree‐of‐Freedom Tilt‐Integral‐Derivative (AF‐2DOF‐TIDF) controller for load frequency control in a multi‐area, multi‐source power system integrating Hydrogen‐Aqua‐Electrolyzer‐Fuel‐Cell (HAE‐FC) units and a Unified Power Flow Controller (UPFC).
Getaneh Mesfin Meseret, M. Bala Anand
wiley +1 more source
Clouded Leopard Optimization: A New Nature-Inspired Optimization Algorithm
This paper proposes a new nature-inspired metaheuristic algorithm called Clouded Leopard Optimization (CLO), which mimics the natural behavior of clouded leopards in the wild.
Eva Trojovska, Mohammad Dehghani
doaj +1 more source
A Practical Real‐Time Observer‐Based Radiation Prediction Algorithm for Solar Plants
A novel radiation prediction method is proposed. The model's existence is verified by applying real data to an offline identifier. An adaptive state/parameter estimator is developed to identify the model. The identification process occurs in real‐time, independent of specific situations. The method offers universal radiation prediction.
S. Sepehr Tabatabaei +2 more
wiley +1 more source
ABSTRACT Unequal load distribution in three‐phase power distribution networks leads to voltage unbalance and decreased network efficiency. Integration of photovoltaics (PVs) and electric vehicle charging stations (EVCSs) into such networks is a challenging task as their penetration affects the power quality of the system.
Maaz Ahmad +4 more
wiley +1 more source
Overview of the proposed work. ABSTRACT Identifying cyber threats maintains the security and operational stability of smart grid systems because they experience escalating attacks that endanger both operating data reliability and system stability and electricity grid performance.
Priya R. Karpaga +3 more
wiley +1 more source
Feasibility Study and Optimal Placement of Solar Power Plants Using Binary Genetic Algorithm
This study introduces an integrated optimization framework using a binary genetic algorithm (BGA) for optimal siting and sizing of two solar plants (865 and 739 kWp) in Karaj, Iran. The BGA outperformed conventional methods, achieving a 24.3% reduction in power losses and enhanced voltage stability.
Mehrab Shahbazi, Reza Eslami
wiley +1 more source
Parameter Extraction for Photovoltaic Models with Flood-Algorithm-Based Optimization
Accurately modeling photovoltaic (PV) cells is crucial for optimizing PV systems. Researchers have proposed numerous mathematical models of PV cells to facilitate the design and simulation of PV systems.
Yacine Bouali, Basem Alamri
doaj +1 more source
Overview of the under‐study hub energy model showing the energy conversion and distribution among integrated sources and loads. ABSTRACT In this paper, a probabilistic bi‐objective energy management system (EMS) model is proposed for an energy hub (EH) equipped with renewable energy sources such as photovoltaic and wind turbine connected to the main ...
Mohammad Khoshabi +3 more
wiley +1 more source
In this paper, we propose a hybrid genetic algorithm (HGA) that embeds the tabu search mechanism into the genetic algorithm (GA) for multiple-input multiple-output (MIMO) detection.
Taehyoung Kim, Gyuyeol Kong
doaj +1 more source

