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Soft Computing

, Volume 23, Issue 18, pp 8563–8577 | Cite as

Analysis of antlion optimizer-based ABT for automatic generation control of an interconnected power system

  • G. Soorya PriyaEmail author
  • Ponnurangam Sivakumar
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Abstract

In this paper, a novel ant lion optimization algorithm is proposed for the recent availability-based tariff (ABT) pricing scheme for the automatic generation control of a three-area interconnected power system (IPS). The innovative ant lion optimizer (ALO) process is performed in conjunction with ABT. The real frequency and load variation are realistic to the input of ALO and minimize the objective function area control error, generation costs and marginal cost of the system. Based on the output of the ALO, the ABT is resolute and assumed as the input of the proposed controller. The dynamic performance of the three-area IPS values including hydrothermal, wind turbine and photovoltaic power systems are evaluated on the basis of limits such as frequency deviation, generation power and tie-line power. Based on these limits, the frequency deviation is controlled and the parameters of the multi-resolution PID (MRPID) controller are regulated. The proposed MRPID controller is modified with the proposed ABT-based ALO to increase the optimal resolution. A three-area IPS is modeled under numerous loads to improve the efficiency of the proposed algorithm. The performance of the this method is demonstrated and compared with existing methods including particle swarm optimization and gravitational search algorithm.

Keywords

Availability-based tariff Particle swarm optimization Gravitational search algorithm Automatic generation control Ant lion optimizer Frequency deviation 

Notes

Compliance with ethical standards

Conflict of interest

All authors declare that they have no conflict of interest.

Ethical approval

This article does not contain any studies with human participants or animals performed by any of the authors.

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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Anna UniversityChennaiIndia
  2. 2.Rajalakshmi Engineering CollegeChennaiIndia

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