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Least Squares Regression Based Ant Lion Optimizer to Solve Optimal Reactive Power and Economic Load Dispatch Problems

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Abstract

The main work of this paper is to describe the influence of transmission line modeling routine in ORPD and ELD problems by using the minimized sum of the squares of normal deviates ant lion optimization algorithm. This method applied on proposed IEEE 57 bus power systems in an effort to achieve the best performance with stable and secure operation of all systems. The proposed method in this paper has improved standard ant lion optimizer (ALO) in terms of both exploration and exploitation properties.The proposed LR-ALO method was applied to solve four versions of power system models, such as positive sequence, 3-Phase PI, and CP transmission lines based power systems, and also lumped PI lines based low voltage hardware model of power system. The effectiveness of proposed method on all power systems were used to determine the generator voltage, tap position of transformers, and reactive power injection subjected to power loss minimization in ORPD problem. Also, calculated voltage deviation, voltage stability index for propsed systems. Similarly, optimal allocation of active power generation among all generators in the system found to balance both load demand and losses subjected to minimization of total fuel cost of the power system in ELD problem. A comprehensive analysis of optimization results was shown that the possible solutions of control variables in both ORPD and ELD problems. Also, the comparison of results was shown the accuracy and effectiveness of proposed method over elitism phases of ALO and other meta heuristic algorithms.

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Acknowledgements

The data used in this paper for hardware analysis was obtained from the DST-SERB EMEQ sponsored project named as “Hardware model implementation of IEEE 57 bus power system network”. Thankful to the DST-SERB and Vignan’s Foundation for Science, Technology & Research.

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  1. Department of Electrical and Electronics Engineering, VFSTR deemed to be University, Vadlamudi, Guntur, Andhra Pradesh, 522213, India

    G. Veera Bhadra Chary & K. Mercy Rosalina

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  1. G. Veera Bhadra Chary
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  2. K. Mercy Rosalina
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Correspondence to G. Veera Bhadra Chary.

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Chary, G.V.B., Rosalina, K.M. Least Squares Regression Based Ant Lion Optimizer to Solve Optimal Reactive Power and Economic Load Dispatch Problems. J. Electr. Eng. Technol. 18, 3391–3413 (2023). https://doi.org/10.1007/s42835-023-01412-3

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