相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。Multi-objective optimal power flow solutions using a constraint handling technique of evolutionary algorithms
Partha P. Biswas et al.
SOFT COMPUTING (2020)
Optimal power flow by means of improved adaptive differential evolution
Shuijia Li et al.
ENERGY (2020)
Transmission expansion planning integrated with wind farms: A review, comparative study, and a novel profound search approach
Ehsan Naderi et al.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS (2020)
Application of modified pigeon-inspired optimization algorithm and constraint -objective sorting rule on multi-objective optimal power flow problem
Gonggui Chen et al.
APPLIED SOFT COMPUTING (2020)
MOEA/D with many-stage dynamical resource allocation strategy to solution of many-objective OPF problems
Jingrui Zhang et al.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS (2020)
Differential evolution-based efficient multi-objective optimal power flow
S. Surender Reddy et al.
NEURAL COMPUTING & APPLICATIONS (2019)
An improved NSGA-III integrating adaptive elimination strategy to solution of many-objective optimal power flow problems
Jingrui Zhang et al.
ENERGY (2019)
An efficient particle swarm optimization algorithm to solve optimal power flow problem integrated with FACTS devices
Ehsan Naderi et al.
APPLIED SOFT COMPUTING (2019)
A simplified algorithm to solve optimal power flows in hybrid VSC-based AC/DC systems
Javier Renedo et al.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS (2019)
Optimal power flow problem considering multiple-fuel options and disjoint operating zones: A solver-friendly MINLP model
Mahdi Pourakbari-Kasmaei et al.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS (2019)
Self-adaptive particle swarm optimization: a review and analysis of convergence
Kyle Robert Harrison et al.
SWARM INTELLIGENCE (2018)
A multi-objective framework for multi-area economic emission dispatch
Hossein Narimani et al.
ENERGY (2018)
Multi-objective dynamic distribution feeder reconfiguration in automated distribution systems
Ali Azizivahed et al.
ENERGY (2018)
A hybrid evolutionary algorithm for secure multi-objective distribution feeder reconfiguration
Ali Azizivahed et al.
ENERGY (2017)
A comprehensive study of practical economic dispatch problems by a new hybrid evolutionary algorithm
Ehsan Naderi et al.
APPLIED SOFT COMPUTING (2017)
A novel fuzzy adaptive configuration of particle swarm optimization to solve large-scale optimal reactive power dispatch
Ehsan Naderi et al.
APPLIED SOFT COMPUTING (2017)
Cutting planes based relaxed optimal power flow in active distribution systems
Hongjun Gao et al.
ELECTRIC POWER SYSTEMS RESEARCH (2017)
Particle swarm optimization with an aging leader and challengers algorithm for the solution of optimal power flow problem
Rudra Pratap Singh et al.
APPLIED SOFT COMPUTING (2016)
A modified MOEA/D approach to the solution of multi-objective optimal power flow problem
Jingrui Zhang et al.
APPLIED SOFT COMPUTING (2016)
Adaptive group search optimization algorithm for multi-objective optimal power flow problem
Narges Daryani et al.
APPLIED SOFT COMPUTING (2016)
Optimal power flow using an Improved Colliding Bodies Optimization algorithm
H. R. E. H. Bouchekara et al.
APPLIED SOFT COMPUTING (2016)
Multi-area environmentally constrained active-reactive optimal power flow: a short-term tie line planning study
Mahdi Pourakbari-Kasmaei et al.
IET GENERATION TRANSMISSION & DISTRIBUTION (2016)
Temperature dependent optimal power flow using g-best guided artificial bee colony algorithm
H. T. Jadhav et al.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS (2016)
Differential search algorithm for solving multi-objective optimal power flow problem
Kadir Abaci et al.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS (2016)
Optimal power flow with emission and non-smooth cost functions using backtracking search optimization algorithm
A. E. Chaib et al.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS (2016)
A two stage model for rotor angle transient stability constrained optimal power flow
Reza Ardeshiri Lajimi et al.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS (2016)
Solution of optimal power flow with FACTS devices using a novel oppositional krill herd algorithm
Aparajita Mukherjee et al.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS (2016)
Optimal power flow of two-terminal HVDC systems using backtracking search algorithm
Kursat Ayan et al.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS (2016)
Fuzzy harmony search algorithm based optimal power flow for power system security enhancement
K. Pandiarajan et al.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS (2016)
Transient stability constrained optimal power flow using oppositional krill herd algorithm
Aparajita Mukherjee et al.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS (2016)
A novel symbiotic organisms search algorithm for optimal power flow of power system with FACTS devices
Dharmbir Prasad et al.
ENGINEERING SCIENCE AND TECHNOLOGY-AN INTERNATIONAL JOURNAL-JESTECH (2016)
Solution of optimal power flow using non dominated sorting multi objective opposition based gravitational search algorithm
Arup Ratan Bhowmik et al.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS (2015)
Optimal power flow for a deregulated power system using adaptive real coded biogeography-based optimization
A. Ramesh Kumar et al.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS (2015)
Multi-objective optimal power flow considering the cost, emission, voltage deviation and power losses using multi-objective modified imperialist competitive algorithm
Mojtaba Ghasemi et al.
ENERGY (2014)
A modified teaching-learning based optimization for multi-objective optimal power flow problem
Amin Shabanpour-Haghighi et al.
ENERGY CONVERSION AND MANAGEMENT (2014)
A novel hybrid algorithm of imperialist competitive algorithm and teaching learning algorithm for optimal power flow problem with non-smooth cost functions
Mojtaba Ghasemi et al.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2014)
Application of imperialist competitive algorithm with its modified techniques for multi-objective optimal power flow problem: A comparative study
Mojtaba Ghasemi et al.
INFORMATION SCIENCES (2014)
Fuzzy based evolutionary algorithm for reactive power optimization with FAGS devices
Biplab Bhattacharyya et al.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS (2014)
Multi-hive bee foraging algorithm for multi-objective optimal power flow considering the cost, loss, and emission
Hanning Chen et al.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS (2014)
A novel approach to multi-objective optimal power flow by a new hybrid optimization algorithm considering generator constraints and multi-fuel type
Mohammad Rasoul Narimani et al.
ENERGY (2013)
Artificial bee colony algorithm for solving multi-objective optimal power flow problem
M. Rezaei Adaryani et al.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS (2013)
A new hybrid algorithm for optimal power flow considering prohibited zones and valve point effect
Taher Niknam et al.
ENERGY CONVERSION AND MANAGEMENT (2012)
Small Population-Based Particle Swarm Optimization for Short-Term Hydrothermal Scheduling
Jingrui Zhang et al.
IEEE TRANSACTIONS ON POWER SYSTEMS (2012)
Improved particle swarm optimisation for multi-objective optimal power flow considering the cost, loss, emission and voltage stability index
T. Niknam et al.
IET GENERATION TRANSMISSION & DISTRIBUTION (2012)
MATPOWER: Steady-State Operations, Planning, and Analysis Tools for Power Systems Research and Education
Ray Daniel Zimmerman et al.
IEEE TRANSACTIONS ON POWER SYSTEMS (2011)
Optimal power flow using differential evolution algorithm
A. A. Abou El Ela et al.
ELECTRIC POWER SYSTEMS RESEARCH (2010)
Biogeography based optimization for multi-constraint optimal power flow with emission and non-smooth cost function
P. K. Roy et al.
EXPERT SYSTEMS WITH APPLICATIONS (2010)
Particle swarm optimization technique based short-term hydrothermal scheduling
K. K. Mandal et al.
APPLIED SOFT COMPUTING (2008)