Modeling and formulation of optimization problems for optimal scheduling of multi-generation and hybrid energy systems: Review and recommendations
S Liaquat, MF Zia, M Benbouzid - Electronics, 2021 - mdpi.com
Increasing power demands require multiple generating units interconnected with each other
to maintain the power balance of the system. This results in a highly dense power system …
to maintain the power balance of the system. This results in a highly dense power system …
Day‐ahead continuous double auction‐based peer‐to‐peer energy trading platform incorporating trading losses and network utilisation fee
Integration of distributed energy resources, such as photovoltaic solar (PV), introduces new
opportunities to establish local energy market frameworks to improve renewable energy …
opportunities to establish local energy market frameworks to improve renewable energy …
Selective harmonic elimination in a multilevel inverter using multi-criteria search enhanced firefly algorithm
This research paper proposes the new multi-criteria search based enhanced firefly algorithm
for solving selective harmonic elimination in a multilevel inverter. This new enhanced firefly …
for solving selective harmonic elimination in a multilevel inverter. This new enhanced firefly …
Performance analysis of distance metrics on the exploitation properties and convergence behaviour of the conventional firefly algorithm
The nature of the distance metric used to compare the span between two fireflies in
conventional firefly algorithm can significantly enhance the exploitation properties of the …
conventional firefly algorithm can significantly enhance the exploitation properties of the …
A novel radiality maintenance algorithm for the metaheuristic based co-optimization of network reconfiguration with battery storage
MA Iqbal, R Zafar - IEEE Access, 2023 - ieeexplore.ieee.org
Network reconfiguration (NR) is a well-accepted technique to decrease power losses and
enhance the voltage profile of the distribution network. The practical challenges in solving …
enhance the voltage profile of the distribution network. The practical challenges in solving …
Self-Directed Mobile Robot Navigation Based on Functional Firefly Algorithm (FFA)
This paper proposes an optimized mobile robot navigation strategy using a functional firefly
algorithm (FFA) and choice function. This approach has two key advantages: first, the linear …
algorithm (FFA) and choice function. This approach has two key advantages: first, the linear …
[HTML][HTML] Advanced Energy Management in a Sustainable Integrated Hybrid Power Network Using a Computational Intelligence Control Strategy
The primary goal of a power distribution system is to provide nominal voltages and power
with minimal losses to meet consumer demands under various load conditions. In the …
with minimal losses to meet consumer demands under various load conditions. In the …
A Leader-Follower Based Parallel Accelerated Particle Swarm Optimization Algorithm for Smart Grid Resource Allocation
Smart grid resource allocation (SGRA) is a large-scale demand response optimization
problem to lower the electricity cost of customers by intelligently shifting their schedulable …
problem to lower the electricity cost of customers by intelligently shifting their schedulable …
[PDF][PDF] Optimizing the coefficients of the particle swarm optimization algorithm to solve the problem of economic dispatching to reduce the emission of environmental …
A Oudi, S Yarmohammadian… - … of Modeling in …, 2023 - modelling.semnan.ac.ir
Environmental issues due to the emission of pollutants produced by fossil fuel power plants
have recently become an important issue. In this study, the coefficients of particle swarm …
have recently become an important issue. In this study, the coefficients of particle swarm …
Fitness dependent optimizer based computational technique for solving optimal control problems of nonlinear dynamical systems
This paper presents a pragmatic approach established on the hybridization of nature-
inspired optimization algorithms and Bernstein Polynomials (BPs), achieving the optimum …
inspired optimization algorithms and Bernstein Polynomials (BPs), achieving the optimum …