Chaotic sine–cosine algorithm for chance‐constrained economic emission dispatch problem including wind energy
作者： Tawfik Guesmi , Anouar Farah , Ismail Marouani , Badr Alshammari , Hsan Hadj Abdallah
DOI: 10.1049/IET-RPG.2019.1081
关键词: Chaotic 、 Wind power 、 Greenhouse gas 、 Electric power 、 Schedule 、 Economic emission dispatch 、 Mathematical optimization 、 Renewable energy 、 Computer science 、 Sine cosine algorithm 、 Renewable Energy, Sustainability and the Environment
摘要: One of the most effective approaches to reduce carbon emissions is integration renewable energy sources into electrical power networks. Currently, wind turbines are fastest growing among all sources. With farms grids, economic emission dispatch (EED) problem becoming more complicated due stochastic availability energy. In this study, a new approach proposed solve EED incorporating farms. The formulated as chance-constrained deal with characteristic power. A novel chaotic sine–cosine algorithm (CSCA) provide optimal generation schedule minimise simultaneously cost and emission. Some weakness has been encountered in exploitation exploration capabilities standard sine cosine (SCA). Hence, chaos integrated original SCA improve its performance. addition, mutation strategy added SCA. based on three mutually exclusive equations. technique applied 69-bus ten-unit 40-unit test systems without results performed by CSCA compared those generated other recent techniques.
sci-hub.st 参考文章(64)
Hongming Yang, Yongxi Zhang, Shuang Wang, Junhua Zhao, Mingyong Lai, Zhao Yang Dong, Jingjie Huang, Stochastic Optimal Dispatch of Power System Considering the Correlation of Multiple Wind Farm Outputs Electric Power Components and Systems. ,vol. 44, pp. 616- 627 ,(2016) , 10.1080/15325008.2015.1122103
Suresh Velamuri, Sreejith S, Ponnambalam P, Static economic dispatch incorporating wind farm using Flower pollination algorithm Perspectives on Science. ,vol. 8, pp. 260- 262 ,(2016) , 10.1016/J.PISC.2016.04.045
Lukáš Adam, Martin Branda, Nonlinear Chance Constrained Problems: Optimality Conditions, Regularization and Solvers Journal of Optimization Theory and Applications. ,vol. 170, pp. 419- 436 ,(2016) , 10.1007/S10957-016-0943-9
Ismail Ziane, Farid Benhamida, Amel Graa, Simulated annealing algorithm for combined economic and emission power dispatch using max/max price penalty factor Neural Computing and Applications. ,vol. 28, pp. 197- 205 ,(2017) , 10.1007/S00521-016-2335-3
E. Emary, Hossam M. Zawbaa, Impact of Chaos Functions on Modern Swarm Optimizers PLOS ONE. ,vol. 11, pp. e0158738- ,(2016) , 10.1371/JOURNAL.PONE.0158738
Mert Sinan Turgut, Güleser Kalaycı Demir, None, Quadratic approximation-based hybrid Artificial Cooperative Search algorithm for economic emission load dispatch problems International Transactions on Electrical Energy Systems. ,vol. 27, pp. e2284- ,(2017) , 10.1002/ETEP.2284
Ahmed T Sahlol, Ahmed A Ewees, Ahmed Monem Hemdan, Aboul Ella Hassanien, None, Training feedforward neural networks using Sine-Cosine algorithm to improve the prediction of liver enzymes on fish farmed on nano-selenite international computer engineering conference. pp. 35- 40 ,(2016) , 10.1109/ICENCO.2016.7856442
Rohit Salgotra, Urvinder Singh, Application of mutation operators to flower pollination algorithm Expert Systems With Applications. ,vol. 79, pp. 112- 129 ,(2017) , 10.1016/J.ESWA.2017.02.035
Partha P. Biswas, P.N. Suganthan, Gehan A.J. Amaratunga, Optimal power flow solutions incorporating stochastic wind and solar power Energy Conversion and Management. ,vol. 148, pp. 1194- 1207 ,(2017) , 10.1016/J.ENCONMAN.2017.06.071
Anouar Farah, Tawfik Guesmi, Hsan Hadj Abdallah, A new method for the coordinated design of power system damping controllers Engineering Applications of Artificial Intelligence. ,vol. 64, pp. 325- 339 ,(2017) , 10.1016/J.ENGAPPAI.2017.06.010