Distributed evolutionary algorithms and their models: A survey of the state-of-the-art
The increasing complexity of real-world optimization problems raises new challenges to
evolutionary computation. Responding to these challenges, distributed evolutionary …
evolutionary computation. Responding to these challenges, distributed evolutionary …
State-of-the-art of optimal active and reactive power flow: A comprehensive review from various standpoints
Optimal power flow (OPF), a mathematical programming problem extending power flow
relationships, is one of the essential tools in the operation and control of power grids. To …
relationships, is one of the essential tools in the operation and control of power grids. To …
A survey on cooperative co-evolutionary algorithms
The first cooperative co-evolutionary algorithm (CCEA) was proposed by Potter and De Jong
in 1994 and since then many CCEAs have been proposed and successfully applied to …
in 1994 and since then many CCEAs have been proposed and successfully applied to …
Optimal power flow: A bibliographic survey I: Formulations and deterministic methods
Over the past half-century, Optimal Power Flow (OPF) has become one of the most important
and widely studied nonlinear optimization problems. In general, OPF seeks to optimize the …
and widely studied nonlinear optimization problems. In general, OPF seeks to optimize the …
Deepopf: A deep neural network approach for security-constrained dc optimal power flow
We develop DeepOPF as a Deep Neural Network (DNN) approach for solving security-
constrained direct current optimal power flow (SC-DCOPF) problems, which are critical for …
constrained direct current optimal power flow (SC-DCOPF) problems, which are critical for …
Optimal power flow: A bibliographic survey II: Non-deterministic and hybrid methods
Over the past half-century, Optimal Power Flow (OPF) has become one of the most important
and widely studied nonlinear optimization problems. In general, OPF seeks to optimize the …
and widely studied nonlinear optimization problems. In general, OPF seeks to optimize the …
Adaptive distributed auction-based algorithm for optimal mileage based AGC dispatch with high participation of renewable energy
In a performance-based frequency regulation market, increasing number of controllable
renewable energy will actively participate in automatic generation control (AGC) of …
renewable energy will actively participate in automatic generation control (AGC) of …
Deepopf: deep neural networks for optimal power flow
X Pan - Proceedings of the 8th ACM International Conference …, 2021 - dl.acm.org
We develop a Deep Neural Network (DNN) approach, namely DeepOPF, for solving optimal
power flow (OPF) problems that are critical for daily power system operation. DeepOPF …
power flow (OPF) problems that are critical for daily power system operation. DeepOPF …
Differential evolutionary algorithm for optimal reactive power dispatch
M Varadarajan, KS Swarup - International Journal of Electrical Power & …, 2008 - Elsevier
This paper presents differential evolutionary algorithm for optimal dispatch for reactive
power and voltage control in power system operation studies. The problem is formulated as …
power and voltage control in power system operation studies. The problem is formulated as …
Differential evolution approach for optimal reactive power dispatch
M Varadarajan, KS Swarup - Applied soft computing, 2008 - Elsevier
Differential evolution based optimal reactive power dispatch for real power loss minimization
in power system is presented in this paper. The proposed methodology determines control …
in power system is presented in this paper. The proposed methodology determines control …