Short-Term Hydrothermal Scheduling Using Improved Social Group Optimization Algorithm

Author(s):  
Akash Gautam ◽  
Ram Naresh Sharma ◽  
Vineet Kumar
2019 ◽  
Vol 8 (2S3) ◽  
pp. 1184-1187

Antenna array optimization is a major research problem in the field of electromagnetic and antenna engineering. The optimization typically involves in handling several radiation parameters like Sidelobe level (SL) and beamwidth (BW). In this paper, the linear antenna array (LAA) configuration is considered with symmetrical distribution of excitation and special distribution. The objective of the design problem considered involves in generating optimized patterns in terms of SLL and BW and check the robustness of the social group optimization algorithm (SGOA). The analysis of the design problem is carried out in terms of radiation pattern plots. The simulation is carried out in Matlab.


Author(s):  
V. V. S. S. S. Chakravarthy ◽  
P. S. R. Chowdary ◽  
Suresh Chandra Satapathy ◽  
Jaume Anguera ◽  
Aurora Andújar

2016 ◽  
Vol 29 (6) ◽  
pp. 123-149 ◽  
Author(s):  
Sujoy Das ◽  
Aniruddha Bhattacharya ◽  
Ajoy Kumar Chakraborty

2014 ◽  
Vol 1044-1045 ◽  
pp. 1507-1510 ◽  
Author(s):  
Ping Ren ◽  
Nan Li

In this paper, the nonlinear optimal control problem is formulated as a multi-objective mathematical optimization problem. Harmony search (HS) algorithm is one of the new heuristic algorithms. The harmony search (HS) optimization algorithm is introduced for the first time in solving the optimal short-term hydrothermal scheduling in power systems. A case on consisting of 9 buses, 11 transmission lines, four thermal plants and three hydro plants in Indian utility system is presented to show the methodology’s feasibility and efficiency. Compared with the optimal short-term hydrothermal scheduling of power systems, the search time of the HS optimization algorithm is shorter and the result is close to the ideal solution.


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