Cloud Charge Impacts on Thunderstorm Algorithm Performances Considering the Scheduled Power Output Optimization Problem

as long as a computational development, this approach has been shifted to improve classical methods to evolutionary methods which are adopted from various natural inspirations. This paper also gains a computational intelligent based on thunderstorm mechanisms which are applied to IEEE-62 bus system considering cloud charges. These works also conduct technical constraints and environmental requirements for defining an optimizing problem. By considering all parameters, cloud charges affect the optimal solution and it also influents to speed characteristics while carrying out the unit commitment problem.

[1]  Pavol Bauer,et al.  Improved genetic algorithm inspired by biological evolution , 2007, Soft Comput..

[2]  A. N. Afandi,et al.  Optimal Solution of the EPED Problem Considering Space Areas of HSABC on the Power System Operation , 2015 .

[3]  Goro Fujita,et al.  The Penetration of Pollutant Productions on Dynamic Generated Power Operations Optimized Using a Novel Evolutionary Algorithm , 2017 .

[4]  Abram R. Jacobson,et al.  Reduction of electron density in the night-time lower ionosphere in response to a thunderstorm , 2012, Nature Geoscience.

[5]  Lawrence D. Carey,et al.  The Relationship between Severe Storm Reports and Cloud-to-Ground Lightning Polarity in the Contiguous United States from 1989 to 1998 , 2003 .

[6]  Mohammad Ali Abido,et al.  Multiobjective evolutionary algorithms for electric power dispatch problem , 2006, IEEE Transactions on Evolutionary Computation.

[7]  G. Fujita,et al.  Renewable energy inclusion on economic power optimization using thunderstorm algorithm , 2017, 2017 4th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI).

[8]  Nedim Tutkun,et al.  Low cost operation of an off-grid wind-PV system electrifying residential homes through combinatorial optimization by the RCGA , 2017, 2017 5th International Conference on Electrical, Electronics and Information Engineering (ICEEIE).

[9]  Jagdish C. Patra,et al.  Orthogonal PSO algorithm for economic dispatch of thermal generating units under various power constraints in smart power grid , 2017, Appl. Soft Comput..

[10]  A. N. Afandi Weighting Factor Scenarios for Assessing the Financial Balance of Pollutant Productions and Fuel Consumptions on the Power System Operation , 2017 .

[11]  Timothy J. Lang,et al.  Origins of positive cloud‐to‐ground lightning flashes in the stratiform region of a mesoscale convective system , 2004 .

[12]  C. Saunders,et al.  A Review of Thunderstorm Electrification Processes , 1993 .

[13]  Goro Fujita,et al.  Designed Operating Approach of Economic Dispatch for Java Bali Power Grid Areas Considered Wind Energy and Pollutant Emission Optimized Using Thunderstorm Algorithm Based on Forward Cloud Charge Mechanism , 2018 .

[14]  Soheila Ghambari,et al.  An improved artificial bee colony algorithm and its application to reliability optimization problems , 2018, Appl. Soft Comput..

[15]  Minrui Fei,et al.  Multi-objective Optimization for Economic Emission Dispatch Using an Improved Multi-objective Binary Differential Evolution Algorithm☆ , 2014 .

[16]  Belgin Emre Turkay,et al.  Service restoration in distribution systems using an evolutionary algorithm , 2010 .

[17]  M. Rycroft,et al.  An Overview of Thunderstorm-Related Research on the Atmospheric Electric Field, Schumann Resonances, Sprites, and the Ionosphere at Sopron, Hungary , 2013, Surveys in Geophysics.

[18]  Mahmoud A. Attia,et al.  Performance of grid-connected wind power plants as affected by load models: A comparative study , 2017, 2017 5th International Conference on Electrical, Electronics and Information Engineering (ICEEIE).

[19]  Manisha Sharma,et al.  Environmental economic dispatch in multi-area power system employing improved differential evolution with fuzzy selection , 2015, Appl. Soft Comput..

[20]  Hajime Miyauchi,et al.  Solving combined economic and emission dispatch using harvest season artificial bee colony algorithm considering food source placements and modified rates , 2014 .

[21]  Yunis Sulistyorini,et al.  Solution of dynamic economic dispatch considered dynamic penalty factor , 2016, 2016 3rd Conference on Power Engineering and Renewable Energy (ICPERE).

[22]  M. M. Aman,et al.  Energy conservation through lighting audit , 2012, 2012 IEEE International Conference on Power and Energy (PECon).

[23]  A. N. Afandi,et al.  Thunderstorm Algorithm for Determining Unit Commitment in Power System Operation , 2016 .

[24]  Yunzhi Cheng,et al.  A new approach for emissions and security constrained economic dispatch , 2009, 41st North American Power Symposium.

[25]  K. Chandram,et al.  Equal embedded algorithm for economic load dispatch problem with transmission losses , 2011 .

[26]  Kwang Y. Lee,et al.  Economic load dispatch for piecewise quadratic cost function using Hopfield neural network , 1993 .

[27]  Hajime Miyauchi,et al.  Improved artificial bee colony algorithm considering harvest season for computing economic dispatch on power system , 2014 .

[28]  Jean-Paul M. G. Linnartz,et al.  Smart office lighting control using occupancy sensors , 2017, 2017 IEEE 14th International Conference on Networking, Sensing and Control (ICNSC).

[29]  Liu Lei,et al.  An Improved Ant Colony Optimization Algorithm Using Local Pheromone and Global Pheromone Updating Rule , 2016, 2016 International Conference on Intelligent Transportation, Big Data & Smart City (ICITBS).

[30]  T.S. Prasanna,et al.  Fuzzy mutated evolutionary programming based algorithm for combined economic and emission dispatch , 2008, TENCON 2008 - 2008 IEEE Region 10 Conference.

[31]  Irawan Dwi Wahyono,et al.  Evaluation of the power transaction considering the transmission use of system charges and system constraints , 2018 .

[32]  The visual identification of lightning-producing thunderstorm clouds , 2014, 2014 International Conference on Lightning Protection (ICLP).

[33]  Madeleine Gibescu,et al.  A dynamic wind farm aggregate model for the simulation of power fluctuations due to wind turbulence , 2010, J. Comput. Sci..

[34]  Hossein Shayeghi,et al.  Iteration particle swarm optimization procedure for economic load dispatch with generator constraints , 2011, Expert Syst. Appl..

[35]  Luke Bornn,et al.  Convergence Results for a Class of Time-Varying Simulated Annealing Algorithms , 2015, 1511.07304.

[36]  Zwe-Lee Gaing Closure to "Discussion of 'Particle swarm optimization to solving the economic dispatch considering the generator constraints'" , 2004 .

[37]  D. MacGorman,et al.  The Relationship between Cloud-to-Ground Lightning Polarity and Surface Equivalent Potential Temperature during Three Tornadic Outbreaks , 2000 .

[38]  M. E. El-Hawary,et al.  Optimal Distributed Generation Allocation and Sizing in Distribution Systems via Artificial Bee Colony Algorithm , 2011, IEEE Transactions on Power Delivery.

[39]  Garrison W. Gmenwood Adapting Mutations in Genetic Algorithms Using Gene Flow Principles , 2003 .

[40]  Indrajit N. Trivedi,et al.  An emission constraint Economic Load Dispatch problem solution with Microgrid using JAYA algorithm , 2016, 2016 International Conference on Energy Efficient Technologies for Sustainability (ICEETS).

[41]  Guy M. Hagen,et al.  ThunderSTORM: a comprehensive ImageJ plug-in for PALM and STORM data analysis and super-resolution imaging , 2014, Bioinform..

[42]  A. N. Afandi Optimal scheduling power generations using HSABC algorithm considered a new penalty factor approach , 2014, The 2nd IEEE Conference on Power Engineering and Renewable Energy (ICPERE) 2014.