Solving the dynamic economic dispatch by a memory-based global differential evolution and a repair technique of constraint handling
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DOI: 10.1016/j.energy.2018.01.029
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- Mohammadi-ivatloo, Behnam & Rabiee, Abbas & Soroudi, Alireza & Ehsan, Mehdi, 2012. "Imperialist competitive algorithm for solving non-convex dynamic economic power dispatch," Energy, Elsevier, vol. 44(1), pages 228-240.
- Zhang, Huifeng & Zhou, Jianzhong & Fang, Na & Zhang, Rui & Zhang, Yongchuan, 2013. "Daily hydrothermal scheduling with economic emission using simulated annealing technique based multi-objective cultural differential evolution approach," Energy, Elsevier, vol. 50(C), pages 24-37.
- Lashkajani, Kazem Hasanzadeh & Ghorbani, Bahram & Amidpour, Majid & Hamedi, Mohammad-Hossein, 2016. "Superstructure optimization of the olefin separation system by harmony search and genetic algorithms," Energy, Elsevier, vol. 99(C), pages 288-303.
- Azaza, Maher & Wallin, Fredrik, 2017. "Multi objective particle swarm optimization of hybrid micro-grid system: A case study in Sweden," Energy, Elsevier, vol. 123(C), pages 108-118.
- Meng, Anbo & Hu, Hanwu & Yin, Hao & Peng, Xiangang & Guo, Zhuangzhi, 2015. "Crisscross optimization algorithm for large-scale dynamic economic dispatch problem with valve-point effects," Energy, Elsevier, vol. 93(P2), pages 2175-2190.
- Zhang, Jingrui & Lin, Shuang & Liu, Houde & Chen, Yalin & Zhu, Mingcheng & Xu, Yinliang, 2017. "A small-population based parallel differential evolution algorithm for short-term hydrothermal scheduling problem considering power flow constraints," Energy, Elsevier, vol. 123(C), pages 538-554.
- Zou, Dexuan & Li, Steven & Wang, Gai-Ge & Li, Zongyan & Ouyang, Haibin, 2016. "An improved differential evolution algorithm for the economic load dispatch problems with or without valve-point effects," Applied Energy, Elsevier, vol. 181(C), pages 375-390.
- Chellaswamy, C. & Ramesh, R., 2016. "Parameter extraction of solar cell models based on adaptive differential evolution algorithm," Renewable Energy, Elsevier, vol. 97(C), pages 823-837.
- Shen, Peihong & Zhao, Zhiguo & Zhan, Xiaowen & Li, Jingwei, 2017. "Particle swarm optimization of driving torque demand decision based on fuel economy for plug-in hybrid electric vehicle," Energy, Elsevier, vol. 123(C), pages 89-107.
- Niu, Qun & Zhang, Hongyun & Li, Kang & Irwin, George W., 2014. "An efficient harmony search with new pitch adjustment for dynamic economic dispatch," Energy, Elsevier, vol. 65(C), pages 25-43.
- Sun, Zhe & Wang, Ning & Bi, Yunrui & Srinivasan, Dipti, 2015. "Parameter identification of PEMFC model based on hybrid adaptive differential evolution algorithm," Energy, Elsevier, vol. 90(P2), pages 1334-1341.
- Mohammad Rasoul Narimani & Maigha & Jhi-Young Joo & Mariesa Crow, 2017. "Multi-Objective Dynamic Economic Dispatch with Demand Side Management of Residential Loads and Electric Vehicles," Energies, MDPI, vol. 10(5), pages 1-18, May.
- Ouyang, Kwan & Wu, Horng-Wen & Huang, Shun-Chieh & Wu, Sheng-Ju, 2017. "Optimum parameter design for performance of methanol steam reformer combining Taguchi method with artificial neural network and genetic algorithm," Energy, Elsevier, vol. 138(C), pages 446-458.
- Wang, Long & Wang, Tongguang & Wu, Jianghai & Chen, Guoping, 2017. "Multi-objective differential evolution optimization based on uniform decomposition for wind turbine blade design," Energy, Elsevier, vol. 120(C), pages 346-361.
- Sivasubramani, S. & Swarup, K.S., 2010. "Hybrid SOA–SQP algorithm for dynamic economic dispatch with valve-point effects," Energy, Elsevier, vol. 35(12), pages 5031-5036.
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Cited by:
- Hu, Zhongbo & Dai, Canyun & Su, Qinghua, 2022. "Adaptive backtracking search optimization algorithm with a dual-learning strategy for dynamic economic dispatch with valve-point effects," Energy, Elsevier, vol. 248(C).
- Mohammadian, M. & Lorestani, A. & Ardehali, M.M., 2018. "Optimization of single and multi-areas economic dispatch problems based on evolutionary particle swarm optimization algorithm," Energy, Elsevier, vol. 161(C), pages 710-724.
- Dai, Canyun & Hu, Zhongbo & Su, Qinghua, 2022. "An adaptive hybrid backtracking search optimization algorithm for dynamic economic dispatch with valve-point effects," Energy, Elsevier, vol. 239(PE).
- Zhang, Yi & Cheng, Chuntian & Cao, Rui & Li, Gang & Shen, Jianjian & Wu, Xinyu, 2021. "Multivariate probabilistic forecasting and its performance’s impacts on long-term dispatch of hydro-wind hybrid systems," Applied Energy, Elsevier, vol. 283(C).
- Wei, Wenqi & Ouyang, Haibin & Li, Steven & Zhao, Xuanbo & Zou, Dexuan, 2022. "A modified fireworks algorithm with dynamic search interval based on closed-loop control," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 200(C), pages 329-360.
- Basu, M., 2021. "Fuel constrained dynamic economic dispatch with demand side management," Energy, Elsevier, vol. 223(C).
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Keywords
Memory-based global differential evolution; Repair technique of constraint handling; Dynamic economic dispatch; Modified mutation; Memory pool; Dynamical crossover rate;All these keywords.
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