An enhanced multi‐objective differential evolution algorithm for dynamic environmental economic dispatch of power system with wind power

[1]  Hao Wang,et al.  Dynamic environmental economic dispatch using multiobjective differential evolution algorithm with expanded double selection and adaptive random restart , 2013 .

[2]  Mohammed Azmi Al-Betar,et al.  Economic load dispatch problems with valve-point loading using natural updated harmony search , 2018, Neural Computing and Applications.

[3]  Shahram Javadi,et al.  Emission-economic dispatch of thermal power generation units in the presence of hybrid electric vehicles and correlated wind power plants , 2017 .

[4]  Xiaoming Mao,et al.  A power balancing method of distributed generation and electric vehicle charging for minimizing operation cost of distribution systems with uncertainties , 2017 .

[5]  Dexuan Zou,et al.  A new global particle swarm optimization for the economic emission dispatch with or without transmission losses , 2017 .

[6]  R. Arul,et al.  A new algorithm for combined dynamic economic emission dispatch with security constraints , 2015 .

[7]  Manjaree Pandit,et al.  An improved bacterial foraging algorithm for combined static/dynamic environmental economic dispatch , 2012, Appl. Soft Comput..

[8]  Ragab A. El-Sehiemy,et al.  A novel parallel hurricane optimization algorithm for secure emission/economic load dispatch solution , 2018, Appl. Soft Comput..

[9]  Chen Chen,et al.  A two-stage approach for combined heat and power economic emission dispatch: Combining multi-objective optimization with integrated decision making , 2018, Energy.

[10]  C. S. Chang,et al.  Security-constrained multiobjective generation dispatch using bicriterion global optimisation , 1995 .

[11]  M. Basu.  Multi-area dynamic economic emission dispatch of hydro-wind-thermal power system , 2019, Renewable Energy Focus.

[12]  Malabika Basu,et al.  Dynamic economic emission dispatch using nondominated sorting genetic algorithm-II , 2008 .

[13]  Ponnuthurai N. Suganthan,et al.  Optimal power flow solutions using differential evolution algorithm integrated with effective constraint handling techniques , 2018, Eng. Appl. Artif. Intell..

[14]  J. P. Zhan,et al.  Dynamic economic emission dispatch based on group search optimizer with multiple producers , 2012 .

[15]  Ponnuthurai Nagaratnam Suganthan,et al.  $I_{\rm SDE}$ +—An Indicator for Multi and Many-Objective Optimization , 2019, IEEE Transactions on Evolutionary Computation.

[16]  Taher Niknam,et al.  $\theta$-Multiobjective Teaching–Learning-Based Optimization for Dynamic Economic Emission Dispatch , 2012, IEEE Systems Journal.

[17]  Ponnuthurai Nagaratnam Suganthan,et al.  Multiobjective economic-environmental power dispatch with stochastic wind-solar-small hydro power , 2018 .

[18]  Ahmed M. Elaiw,et al.  Hybrid DE-SQP and hybrid PSO-SQP methods for solving dynamic economic emission dispatch problem with valve-point effects , 2013 .

[19]  Provas Kumar Roy,et al.  A multi-objective hybrid evolutionary algorithm for dynamic economic emission load dispatch , 2016 .

[20]  P. N. Suganthan,et al.  Ensemble of Constraint Handling Techniques , 2010, IEEE Transactions on Evolutionary Computation.

[21]  Malabika Basu,et al.  Particle Swarm Optimization Based Goal-Attainment Method for Dynamic Economic Emission Dispatch , 2006 .

[22]  R. Lyndon While,et al.  A faster algorithm for calculating hypervolume , 2006, IEEE Transactions on Evolutionary Computation.

[23]  P. Roy,et al.  Application of Earthworm Optimization Algorithm for solution of Optimal Power Flow , 2019, 2019 International Conference on Opto-Electronics and Applied Optics (Optronix).

[24]  Sishaj P. Simon,et al.  Dynamic economic dispatch using Maclaurin series based Lagrangian method , 2010 .

[25]  Xiaofei Wang,et al.  Bi-level robust dynamic economic emission dispatch considering wind power uncertainty , 2016 .

[26]  Mustapha El Moudden,et al.  Solution of Economic and Environmental Power Dispatch Problem of an Electrical Power System using BFGS-AL Algorithm , 2020, ANT/EDI40.

[27]  Gaige Wang,et al.  Moth search algorithm: a bio-inspired metaheuristic algorithm for global optimization problems , 2016, Memetic Computing.

[28]  Jian-Xin Xu,et al.  Constrained multiobjective global optimisation of longitudinal interconnected power system by genetic algorithm , 1996 .

[29]  Jim Duggan,et al.  A multi-objective neural network trained with differential evolution for dynamic economic emission dispatch , 2018, International Journal of Electrical Power & Energy Systems.

[30]  Yongping Yang,et al.  Multi‐objective optimization of solar‐aided coal‐fired power generation system under off‐design work conditions , 2019, Energy Science & Engineering.

[31]  Jun Yang,et al.  A new Method for Dynamic Economic Emission Dispatch Problem , 2019, 2019 IEEE Congress on Evolutionary Computation (CEC).

[32]  Zhihua Cui,et al.  Monarch butterfly optimization , 2015, Neural Computing and Applications.

[33]  Shailendra Singh,et al.  SVM Hyper-parameters optimization using quantized multi-PSO in dynamic environment , 2019, Soft Computing.

[34]  Hongkun Chen,et al.  Optimal operation of the combined heat and power system equipped with power‐to‐heat devices for the improvement of wind energy utilization , 2019, Energy Science & Engineering.