Multi‐objective‐constraint optimal model for wind‐hydro‐thermal power joint scheduling based on symbiotic organisms search algorithm
Multi‐objective‐constraint optimal model for wind‐hydro‐thermal power joint scheduling based on symbiotic organisms search algorithm
复制标题
基于共生生物搜索算法的风水火电联合调度多目标约束优化模型
DOI：
10.1002/2050-7038.12841
复制
发表时间：
2021-03
影响因子：
2.3
通讯作者：
Kaicheng Zhang
中科院分区：
文献类型：
--
作者：
Jikai Dong;Peng LI;Kaicheng Zhang
Considering the characteristics of coordinated controlling for wind‐hydro‐thermal integrated energy, a multi‐objective and multi‐constraint optimal dispatch model has been established for wind‐hydro‐thermal power system in this paper. The proposed model not only effectively solves the nonlinear, multidimensional, and discontinuous problems of wind power hotspot systems with many constraints, but also attaches importance to the use of clean energy to reduce the operating cost and power output variability of thermal generators. Firstly, it converts the multi‐objective into a comprehensive objective function for overall optimization; Secondly, the Symbiotic Organisms Search (SOS) algorithm is improved by creating multiple ecosystems; Finally, an optimal dispatching model based on improved SOS algorithm is described in details. The validity of this model is proved by the improved IEEE 24‐node test system and the results are compared with the related algorithms. The simulation results demonstrate that the proposed model has the characteristics of high optimal precision, fast convergence, and lower cost time. In addition, its comprehensive indicator is superior to PSO, GWO, CSA algorithms, which provides a new optimization strategy for wind‐hydro‐thermal power joint dispatching problem.
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影响因子：
4.9
作者：
I. Cadirei;M. Ermiş
通讯作者：
I. Cadirei;M. Ermiş
影响因子：
--
作者：
Dong Jun
通讯作者：
Dong Jun
影响因子：
11.2
作者：
J. J. Chen-J.;Y. Zhuang;Y. Li;Ping Wang;Y. L. Zhao;C. Zhang
通讯作者：
J. J. Chen-J.;Y. Zhuang;Y. Li;Ping Wang;Y. L. Zhao;C. Zhang
DOI：
10.1016/j.asoc.2020.106722
发表时间：
2020-09
期刊：
Appl. Soft Comput.
影响因子：
--
作者：
Chao-Lung Yang;H. Sutrisno
通讯作者：
Chao-Lung Yang;H. Sutrisno
影响因子：
14.3
作者：
Agrawal, Shubham;Panigrahi, B. K.;Tiwari, Manoj Kumar
通讯作者：
Tiwari, Manoj Kumar