Investigation of optimal power flow solution techniques considering stochastic renewable energy sources: Review and analysis
Increased penetration of renewable energy sources (RESs) in power system networks
poses several challenges in system planning and management due to their uncertain and …
poses several challenges in system planning and management due to their uncertain and …
Assessing the financial impact and mitigation methods for voltage sag in power grid
Voltage sags, as defined by the IEEE Standard, refer to sudden drops in voltage magnitude
that last for a duration greater than 0.5 cycles of the power frequency but less than or equal …
that last for a duration greater than 0.5 cycles of the power frequency but less than or equal …
Fitness–Distance Balance based adaptive guided differential evolution algorithm for security-constrained optimal power flow problem incorporating renewable energy …
One of the most difficult types of problems computationally is the security-constrained
optimal power flow (SCOPF), a non-convex, nonlinear, large-scale, nondeterministic …
optimal power flow (SCOPF), a non-convex, nonlinear, large-scale, nondeterministic …
Economical operation of modern power grids incorporating uncertainties of renewable energy sources and load demand using the adaptive fitness-distance balance …
With the increase in the world population and the rapid developments in technology, the
energy demands on modern electricity grids are also rising. In order to meet these demands …
energy demands on modern electricity grids are also rising. In order to meet these demands …
A comprehensive review on stochastic optimal power flow problems and solution methodologies
The deregulation of the electricity market has been accompanied by the growing utilization
of unpredictable renewable energy sources (RESs) such as solar, wind, and hydropower …
of unpredictable renewable energy sources (RESs) such as solar, wind, and hydropower …
Optimal placement and sizing of FACTS devices for optimal power flow in a wind power integrated electrical network
PP Biswas, P Arora, R Mallipeddi… - Neural computing and …, 2021 - Springer
Optimal power flow (OPF) is one of the challenging optimization problems in power domain.
The complexity of the problem escalates with incorporation of uncertain and intermittent …
The complexity of the problem escalates with incorporation of uncertain and intermittent …
Unified space approach-based Dynamic Switched Crowding (DSC): a new method for designing Pareto-based multi/many-objective algorithms
This study proposes a robust method to improve the search performance of multi-objective
evolutionary algorithms (MOEAs) using a Pareto-based archiving mechanism and a …
evolutionary algorithms (MOEAs) using a Pareto-based archiving mechanism and a …
A reliable optimization framework using ensembled successive history adaptive differential evolutionary algorithm for optimal power flow problems
Abstract The Optimal Power Flow (OPF) is a primary tool in planning and installing power
systems. It attempts to minimize the operating costs associated with generating and …
systems. It attempts to minimize the operating costs associated with generating and …
[HTML][HTML] Gaussian bare-bones Levy circulatory system-based optimization for power flow in the presence of renewable units
Abstract The Optimal Power Flow (OPF) is a vital issue in electrical networks to ensure the
economical and safe operation to transfer electrical energy that is very complex, non-linear …
economical and safe operation to transfer electrical energy that is very complex, non-linear …
Developing chaotic artificial ecosystem-based optimization algorithm for combined economic emission dispatch
In this paper, Chaotic Artificial Ecosystem-based Optimization Algorithm (CAEO) is proposed
and utilized to determine the optimal solution which achieves the economical operation of …
and utilized to determine the optimal solution which achieves the economical operation of …