Application and progress of artificial intelligence technology in the field of distribution network voltage Control: A review
The increasing integration of distributed energy resources has led to heightened complexity
in distribution network models, posing challenges of uncertainty and volatility to the …
in distribution network models, posing challenges of uncertainty and volatility to the …
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 …
A leader supply-demand-based optimization for large scale optimal power flow problem considering renewable energy generations
The supply-demand-based optimization (SDO) is among the recent stochastic approaches
that have proven its capability in solving challenging engineering tasks. Owing to the non …
that have proven its capability in solving challenging engineering tasks. Owing to the non …
Multi-objective optimal power flow with stochastic wind and solar power
The classical optimal power flow problem is usually formulated with only thermal generators,
in which the fuel used to generate power is limited and emissions from the network system …
in which the fuel used to generate power is limited and emissions from the network system …
Parameter extraction of photovoltaic models using a memory-based improved gorilla troops optimizer
M Abdel-Basset, D El-Shahat, KM Sallam… - Energy Conversion and …, 2022 - Elsevier
The parameter extraction of the PV model is a challenging issue owing to its multi-model
and nonlinear characteristics. Moreover, these characteristics of the problem render the …
and nonlinear characteristics. Moreover, these characteristics of the problem render the …
Optimal power flow using a hybridization algorithm of arithmetic optimization and aquila optimizer
In this paper, a hybridization method based on Arithmetic optimization algorithm (AOA) and
Aquila optimizer (AO) solver namely, the AO-AOA is applied to solve the Optimal Power Flow …
Aquila optimizer (AO) solver namely, the AO-AOA is applied to solve the Optimal Power Flow …
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 …
[HTML][HTML] Heterogeneous differential evolution algorithm for parameter estimation of solar photovoltaic models
D Wang, X Sun, H Kang, Y Shen, Q Chen - Energy Reports, 2022 - Elsevier
The behavior of a photovoltaic (PV) system can be derived from its current–voltage
characteristics, depending on its unknown circuit model parameters. It is significant to …
characteristics, depending on its unknown circuit model parameters. It is significant to …
Multiobjective multitask optimization with multiple knowledge types and transfer adaptation
Evolutionary multitasking (EMT) exploits the correlation among different tasks to help handle
them through knowledge transfer (KT) techniques in evolutionary algorithms. In this area …
them through knowledge transfer (KT) techniques in evolutionary algorithms. In this area …