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Adaptive fuzzy approach for load frequency control using hybrid moth flame pattern search optimization with real time validation

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Abstract

The intensifying progression in the transformation of the power grid towards a new generation power system introduces frequency regulation challenges in operations which can be overcome with substantial benefits from the latest robust control approaches along with suitable smart optimizing tools. Additionally, with the adoption of smart and intelligent control schemes, the latest communication technologies with the extensive placement of smart devices, there will be significant growth in real-time system measurements. Under this trend, an adaptive fuzzy PID (A-FLC-PID) system will play a vital role in reducing transient time. In this article, a novel adaptive fuzzy control architecture intended for load frequency control with a supplementary hybrid moth flame optimization pattern search (h-MFO-PS) algorithm is presented. The proposed approach is designed to optimize the controller gains for the eventual fitness of the objective function. The hybrid algorithm smartly updates the scaling factors of the adaptive fuzzy controller by considering various proportional and integral thresholds. Simulations are performed on two areas hydrothermal system with the gas unit. To validate the research outcomes and measure the effectiveness of the proposed architecture, the outcomes are compared with recent research approaches and practicability is tested using an OPAL-RT setup. The sturdiness of the concerned approach is studied with a wide range of parameterization and loading conditions. It is observed that the h-MFO-PS scaled A-FLC-PID controller establishes superior improvement in frequency regulation.

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Authors and Affiliations

  1. Department of Electrical Engineering, Veer Surendra Sai University of Technology, Burla, Odisha, 768018, India

    Pratap Chandra Nayak, Ramesh Chandra Prusty & Sidhartha Panda

Authors
  1. Pratap Chandra Nayak
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  2. Ramesh Chandra Prusty
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  3. Sidhartha Panda
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Correspondence to Pratap Chandra Nayak.

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Appendix

Appendix

2-area-6-unit power system network parameters under consideration are given below:

f = 60 Hz

B1 = B2 = 0.425pu MW/Hz

PR = 2000 MW

PL = 1840 MW

R1 = R2 = R3 = 2.4 Hz/pu MW

Tsg = 0.08 s

Tr = 10 s

Kr = 0.3

Tt = 0.3 s

KT = 0.543478

KH = 0.326084

KG = 0.130438

Tgh = 0.2 s

Trh = 28.75 s

Trs = 5 s

Tw = 1 s

bg = 0.5

cg = 1

Xc = 0.6 s

Yc = 1 s

Tcr = 0.01 s

Tfc = 0.23 s

Tcd = 0.2 s

Tps = 11.49 s

Kps = 68.9566

T12 = 0.0433pu

a12 = − 1

   

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Nayak, P.C., Prusty, R.C. & Panda, S. Adaptive fuzzy approach for load frequency control using hybrid moth flame pattern search optimization with real time validation. Evol. Intel. 17, 1111–1126 (2024). https://doi.org/10.1007/s12065-022-00793-0

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