Multi-objective energy management in a renewable and EV-integrated microgrid using an iterative map-based self-adaptive crystal structure algorithm
A Rajagopalan, K Nagarajan, M Bajaj… - Scientific Reports, 2024 - nature.com
The use of plug-in hybrid electric vehicles (PHEVs) provides a way to address energy and
environmental issues. Integrating a large number of PHEVs with advanced control and …
environmental issues. Integrating a large number of PHEVs with advanced control and …
[HTML][HTML] Economical-technical-environmental operation of power networks with wind-solar-hydropower generation using analytic hierarchy process and improved grey …
This paper presents an economical-technical-environmental dispatch (ETED) model for an
adapted IEEE 30-bus system incorporated with thermal and a mix of renewable energy …
adapted IEEE 30-bus system incorporated with thermal and a mix of renewable energy …
Optimal power flow via teaching-learning-studying-based optimization algorithm
The teaching-learning-based optimizer (TLBO) algorithm is a powerful and efficient
optimization algorithm. However it is prone to getting stuck in local optima. In order to …
optimization algorithm. However it is prone to getting stuck in local optima. In order to …
[HTML][HTML] Enhanced wombat optimization algorithm for multi-objective optimal power flow in renewable energy and electric vehicle integrated systems
K Nagarajan, A Rajagopalan, M Bajaj, V Raju… - Results in …, 2025 - Elsevier
In this study, the authors propose the Enhanced Wombat Optimization Algorithm (EWOA) as
a solution for the optimal power flow (OPF) issue that occurs in transmission networks. With …
a solution for the optimal power flow (OPF) issue that occurs in transmission networks. With …
Multi-objective optimal power flow using a new heuristic optimization algorithm with the incorporation of renewable energy sources
The current research study proposes a multi-objective optimal power flow (OPF) solution
using a modified Interior Search Algorithm in which Levy Flight feature with two different …
using a modified Interior Search Algorithm in which Levy Flight feature with two different …
Performance of various voltage stability indices in a stochastic multiobjective optimal power flow using mayfly algorithm
R Kyomugisha, CM Muriithi… - Journal of Electrical and …, 2022 - Wiley Online Library
The performance of voltage stability indices in the multiobjective optimal power flow of
modern power systems is presented in this work. Six indices: the Voltage Collapse Proximity …
modern power systems is presented in this work. Six indices: the Voltage Collapse Proximity …
A solution of optimal power flow problem in power system based on multi objective particle swarm algorithm
Due to rising energy demand, the optimal power flow (OPF) has become more essential for
the operation, control, and planning of power systems. The problem is formulated in the form …
the operation, control, and planning of power systems. The problem is formulated in the form …
Optimal placement of wind power plants in transmission power networks by applying an effectively proposed metaheuristic algorithm
In this paper, a modified equilibrium algorithm (MEA) is proposed for optimally determining
the position and capacity of wind power plants added in a transmission power network with …
the position and capacity of wind power plants added in a transmission power network with …
Skill optimization algorithm for solving optimal power flow problem
This research presents the implementation of a modern meta-heuristic algorithm called the
skill optimization algorithm (SOA) to solve the optimal power flow problem (OPF). An IEEE …
skill optimization algorithm (SOA) to solve the optimal power flow problem (OPF). An IEEE …
Research on multi-objective hybrid flow shop scheduling problem with dual resource constraints using improved memetic algorithm
K Geng, C Ye, L Liu - IEEE Access, 2020 - ieeexplore.ieee.org
The classical hybrid flow shop scheduling problem (HFSP) only treats machines as the only
resource constraint, ignoring the dominant role of workers in production and manufacturing …
resource constraint, ignoring the dominant role of workers in production and manufacturing …