Abstract
The high penetration of renewable energy resources (RESs) based microgrids (MGs) into the modern power system brings severe system frequency fluctuations due to RESs uncertain nature. In such cases, supplying an MG model with an effective load frequency control (LFC) plays a crucial part in regaining the stability of the electrical network. In this work, a wind turbine generator (WTG) and diesel generator (DEG) are efficiently planned as autonomous diesel wind energy-based microgrid (DWMG). A wind-contributed dynamic model, speed regulator, and proportional-integral-derivative (PID) frequency controller are designed to make the WTG system aware of power fluctuations. Additionally, an integral type sliding mode control (I-SMC) is designed to generate the supplementary control action for the frequency regulation against the load and source uncertainties. A recently invented artificial gorilla troops optimizer (GTO) is utilized to obtain the controller parameters. The results reveal the proposed method's benefits, such as least frequency deviations, shorter settling time, and minimum integral errors over state-of-the-art methodologies.
References
1.
Alegria
,
E.
,
Brown
,
T.
,
Minear
,
E.
, and
Lasseter
,
R. H.
, 2014
, “
CERTS Microgrid Demonstration With Large-Scale Energy Storage and Renewable Generation
,” IEEE Trans. Smart Grid
,
5
(2
), pp. 937
–943
.10.1109/TSG.2013.22865752.
Hirsch
,
A.
,
Parag
,
Y.
, and
Guerrero
,
J.
, 2018
, “
Microgrids: A Review of Technologies, Key Drivers, and Outstanding Issues
,” Renewable Sustainable Energy Rev.
,
90
, pp. 402
–411
.10.1016/j.rser.2018.03.0403.
GWEC,
2021
, “
Global Wind Report on Annual Market Global Wind Energy Council
,” Global Wind Energy Council.4.
Abazari
,
A.
,
Monsef
,
H.
, and
Wu
,
B.
, 2019
, “
Coordination Strategies of Distributed Energy Resources Including FESS, DEG, FC and WTG in Load Frequency Control (LFC) Scheme of Hybrid Isolated Micro-Grid
,” Int. J. Electr. Power Energy Syst.
,
109
, pp. 535
–547
.10.1016/j.ijepes.2019.02.0295.
Li
,
H.
,
Qiao
,
Y.
,
Lu
,
Z.
,
Zhang
,
B.
, and
Teng
,
F.
, 2021
, “
Frequency-Constrained Stochastic Planning Towards a High Renewable Target Considering Frequency Response Support From Wind Power
,” IEEE Trans. Power Syst.
,
36
(5
), pp. 4632
–4644
.10.1109/TPWRS.2021.30669916.
Wu
,
B.
,
Lang
,
Y.
,
Zargari
,
N.
, and
Kouro
,
S.
, 2011
, Power Conversion and Control of Wind Energy Systems
,
Wiley-IEEE Press
,
New York
.7.
Dreidy
,
M.
,
Mokhlis
,
H.
, and
Mekhilef
,
S.
, March 2017
, “
Inertia Response and Frequency Control Techniques for Renewable Energy Sources: A Review
,” Renewable Sustainable Energy Rev.
,
69
, pp. 144
–155
.10.1016/j.rser.2016.11.1708.
Vidyanandan
,
K. V.
, and
Senroy
,
N.
, 2013
, “
Primary Frequency Regulation by Deloaded Wind Turbines Using Variable Droop
,” IEEE Trans. Power Syst.
,
28
(2
), pp. 837
–846
.10.1109/TPWRS.2012.22082339.
Ramesh
,
M.
,
Yadav
,
A. K.
, and
Pathak
,
P. K.
, 2021
, “
An Extensive Review on Load Frequency Control of Solar-Wind Based Hybrid Renewable Energy Systems
,” Energy Sources, Part A Recov., Util., Environ. Eff.
, pp. 1
–25
.10.
Lee
,
D. J.
, and
Wang
,
L.
, 2008
, “
Small-Signal Stability Analysis of an Autonomous Hybrid Renewable Energy Power Generation/Energy Storage System Part I: Time-Domain Simulations
,” IEEE Trans. Energy Conver.
,
23
(1
), pp. 311
–320
.10.1109/TEC.2007.91430911.
Bevrani
,
H.
,
Habibi
,
F.
,
Babahajyani
,
P.
,
Watanabe
,
M.
, and
Mitani
,
Y.
, 2012
, “
Intelligent Frequency Control in an AC Microgrid: Online PSO-Based Fuzzy Tuning Approach
,” IEEE Trans. Smart Grid
,
3
(4
), pp. 1935
–1944
.10.1109/TSG.2012.219680612.
Das
,
D. C.
,
Roy
,
A. K.
, and
Sinha
,
N.
, 2012
, “
GA Based Frequency Controller for Solar Thermal–Diesel–Wind Hybrid Energy Generation/Energy Storage System
,” Int. J. Electr. Power Energy Syst.
,
43
(1
), pp. 262
–279
.10.1016/j.ijepes.2012.05.02513.
Nandar
,
C. S. A.
, 2013
, “
Robust PI Control of Smart Controllable Load for Frequency Stabilization of Microgrid Power System
,” Renewable Energy
,
56
, pp. 16
–23
.10.1016/j.renene.2012.10.03214.
Mishra
,
S.
,
Mallesham
,
G.
, and
Jha
,
A. N.
, 2012
, “
Design of Controller and Communication for Frequency Regulation of a Smart Microgrid
,” IET Renewable Power Gener.
,
6
(4
), pp. 248
–258
.10.1049/iet-rpg.2011.016515.
Mishra
,
S.
,
Mallesham
,
G.
, and
Sekhar
,
P. C.
, 2013
, “
Biogeography Based Optimal State Feedback Controller for Frequency Regulation of a Smart Microgrid
,” IEEE Trans. Smart Grid
,
4
(1
), pp. 628
–637
.10.1109/TSG.2012.223689416.
Pan
,
I.
, and
Das
,
S.
, 2015
, “
Kriging Based Surrogate Modeling for Fractional Order Control of Microgrids
,” IEEE Trans. Smart Grid
,
6
(1
), pp. 36
–44
.10.1109/TSG.2014.233677117.
Pan
,
I.
, and
Das
,
S.
, 2016
, “
Fractional Order AGC for Distributed Energy Resources Using Robust Optimization
,” IEEE Trans. Smart Grid
,
7
(5
), pp. 2175
–2186
.10.1109/TSG.2015.245976618.
Shankar
,
G.
, and
Mukherjee
,
V.
, 2016
, “
Load Frequency Control of an Autonomous Hybrid Power System by Quasi-Oppositional Harmony Search Algorithm
,” Int. J. Electr. Power Energy Syst.
,
78
, pp. 715
–734
.10.1016/j.ijepes.2015.11.09119.
Khalghani
,
M. R.
,
Khooban
,
M. H.
,
Mahboubi-Moghaddam
,
E.
,
Vafamand
,
N.
, and
Goodarzi
,
M.
, 2016
, “
A Self-Tuning Load Frequency Control Strategy for Microgrids: Human Brain Emotional Learning
,” Int. J. Electr. Power Energy Syst.
,
75
, pp. 311
–319
.10.1016/j.ijepes.2015.08.02620.
Mohanty
,
S. R.
,
Kishor
,
N.
, and
Ray
,
P. K.
, 2014
, “
Robust H-Infinite Loop Shaping Controller Based on Hybrid PSO and Harmonic Search for Frequency Regulation in Hybrid Distributed Generation System
,” Int. J. Electr. Power Energy Syst.
,
60
, pp. 302
–316
.10.1016/j.ijepes.2014.03.01221.
Ali
,
R.
,
Mohamed
,
T. H.
,
Qudaih
,
Y. S.
, and
Mitani
,
Y.
, 2014
, “
A New Load Frequency Control Approach in an Isolated Small Power System Using Coefficient Diagram Method
,” Int. J. Electr. Power Energy Syst.
,
56
, pp. 110
–116
.10.1016/j.ijepes.2013.11.00222.
Khooban
,
M. H.
,
Niknam
,
T.
,
Shasadeghi
,
M.
,
Dragicevic
,
T.
, and
Blaabjerg
,
F.
, 2018
, “
Load Frequency Control in Microgrids Based on a Stochastic Noninteger Controller
,” IEEE Trans. Sustainable Energy
,
9
(2
), pp. 853
–861
.10.1109/TSTE.2017.276360723.
Latif
,
A.
,
Das
,
D. C.
,
Ranjan
,
S.
, and
Barik
,
A. K.
, 2019
, “
Comparative Performance Evaluation of WCA-Optimised Non-Integer Controller Employed With WPG–DSPG–PHEV Based Isolated Two-Area Interconnected Microgrid System
,” IET Renewable Power Gener.
,
13
(5
), pp. 725
–736
.10.1049/iet-rpg.2018.541924.
Sivalingam
,
R.
,
Chinnamuthu
,
S.
, and
Dash
,
S. S.
, 2017
, “
A Modified Whale Optimization Algorithm-Based Adaptive Fuzzy Logic PID Controller for Load Frequency Control of Autonomous Power Generation Systems
,” Automatika
,
58
(4
), pp. 410
–421
.10.1080/00051144.2018.146568825.
Annamraju
,
A.
, and
Nandiraju
,
S.
, 2018
, “
Robust Frequency Control in an Autonomous Microgrid: A Two-Stage Adaptive Fuzzy Approach
,” Elect. Power Compon. Syst.
,
46
(1
), pp. 83
–94
.10.1080/15325008.2018.143272326.
C
,
S.
,
Yammani
,
C.
, and
Maheswarapu
,
S.
, 2019
, “
Load Frequency Control of Multi-Microgrid System Considering Renewable Energy Sources Using Grey Wolf Optimization
,” Smart Sci.
,
7
(3
), pp. 198
–217
.10.1080/23080477.2019.163005727.
Barik
,
A. K.
, and
Das
,
D. C.
, 2018
, “
Expeditious Frequency Control of Solar Photovoltaic/Biogas/Biodiesel Generator Based Isolated Renewable Microgrid Using Grasshopper Optimisation Algorithm
,” IET Renewable Power Gener.
,
12
(14
), pp. 1659
–1667
.10.1049/iet-rpg.2018.519628.
Rajesh
,
K. S.
, and
Dash
,
S. S.
, 2019
, “
Load Frequency Control of Autonomous Power System Using Adaptive Fuzzy Based PID Controller Optimized on Improved Sine Cosine Algorithm
,” J. Ambient Intell. Human. Comput.
,
10
(6
), pp. 2361
–2373
.10.1007/s12652-018-0834-z29.
Arya
,
Y.
, 2019
, “
Effect of Energy Storage Systems on Automatic Generation Control of Interconnected Traditional and Restructured Energy Systems
,” Int. J. Energy Res.
,
43
(12
), pp. 6475
–6493
.10.1002/er.449330.
Dhundhara
,
S.
, and
Verma
,
Y. P.
, 2020
, “
Application of Micro Pump Hydro Energy Storage for Reliable Operation of Microgrid System
,” IET Renewable Power Gener.
,
14
(8
), pp. 1368
–1378
.10.1049/iet-rpg.2019.082231.
Khokhar
,
B.
,
Dahiya
,
S.
, and
Singh Parmar
,
K. P.
, 2020
, “
A Robust Cascade Controller for Load Frequency Control of a Standalone Microgrid Incorporating Electric Vehicles
,” Electric Power Compon. Syst.
,
48
(6–7
), pp. 711
–726
.10.1080/15325008.2020.179793632.
Ramesh
,
M.
,
Yadav
,
A. K.
, and
Pathak
,
P. K.
, 2021
, “
Intelligent Adaptive LFC Via Power Flow Management of Integrated Standalone Micro-Grid System
,” ISA Trans.
,
112
, pp. 234
–250
.10.1016/j.isatra.2020.12.00233.
Sariki
,
M.
, and
Shankar
,
R.
, 2022
, “
Optimal CC-2DOF (PI)-PDF Controller for LFC of Restructured Multi-Area Power System With IES-Based Modified HVDC Tie-Line and Electric Vehicles
,” Eng. Sci. Technol., Int. J.
,
32
, p. 101058
.10.1016/j.jestch.2021.09.00434.
Pathak
,
P. K.
,
Yadav
,
A. K.
,
Shastri
,
A.
, and
Alvi
,
P. A.
, 2022
, “
BWOA Assisted PIDF-(1+ I) Controller for Intelligent Load Frequency Management of Standalone Micro-Grid
,” ISA Trans
.35.
Chang-Chien
,
L. R.
,
Sun
,
C. C.
, and
Yeh
,
Y. J.
, 2014
, “
Modeling of Wind Farm Participation in AGC
,” IEEE Trans. Power Syst.
,
29
(3
), pp. 1204
–1211
.10.1109/TPWRS.2013.229139736.
Gholamrezaie
,
V.
,
Dozein
,
M. G.
,
Monsef
,
H.
, and
Wu
,
B.
, 2018
, “
An Optimal Frequency Control Method Through a Dynamic Load Frequency Control (LFC) Model Incorporating Wind Farm
,” IEEE Syst. J.
,
12
(1
), pp. 392
–401
.10.1109/JSYST.2016.256397937.
Ramesh
,
M.
, and
Yadav
,
A. K.
, 2022
, “
Wind Contributed Load Frequency Control Scheme for Standalone Microgrid Using Grey Wolf Optimization
,” IEEE Delhi Section Conference (DELCON)
,
NSUT
,
New Delhi
, Feb. 11–13.38.
Falehi
,
A. D.
, 2019
, “
Optimal Power Tracking of DFIG-Based Wind Turbine Using MOGWO-Based Fractional-Order Sliding Mode Controller
,” Sol. Energy Eng.
,
142
(3
), p. 031004
.10.1115/1.404497739.
Slotine
,
J. J.
, and
Li
,
W.
, 1991
, Applied Nonlinear Control
,
Prentice-Hall
,
Englewood Cliffs, NJ
.40.
Liu
,
J.
, 2017
, Sliding Mode Control Using MATLAB
,
Academic Press
, San Diego, CA.41.
Yadav
,
A. K.
,
Pathak
,
P. K.
,
Sah
,
S. V.
, and
Gaur
,
P.
, 2019
, “
Sliding Mode Based Fuzzy Model Reference Adaptive Control Technique for an Unstable System
,” J. Inst. Eng. Ser. B
,
100
(2
), pp. 169
–177
.10.1007/s40031-019-00372-542.
Li
,
Y.
, and
Xu
,
Q.
, 2010
, “
Adaptive Sliding Mode Control With Perturbation Estimation and PID Sliding Surface for Motion Tracking of a Piezo-Driven Micromanipulator
,” IEEE Trans. Control Syst. Technol.
,
18
(4
), pp. 798
–810
.10.1109/TCST.2009.202887843.
Ardjoun
,
S.
,
Denai
,
M.
, and
Chafouk
,
H.
, 2022
, “
A Robust Control Approach for Frequency Support Capability of Grid-Tie Photovoltaic Systems
,” Sol. Energy Eng.
, 145(2), p. 021009
.44.
Yadav
,
A. K.
, and
Gaur
,
P.
, 2016
, “
Improved Self-Tuning Fuzzy Proportional–Integral Derivative Versus Fuzzy-Adaptive Proportional–Integral–Derivative for Speed Control of Nonlinear Hybrid Electric Vehicles
,” ASME J. Comput. Nonlinear Dyn.
,
11
(6
), p. 061013
.10.1115/1.403368545.
Khooban
,
M. H.
, 2018
, “
Secondary Load Frequency Control of Time-Delay Stand-Alone Microgrids With Electric Vehicles
,” IEEE Trans. Ind. Electron.
,
65
(9
), pp. 7416
–7422
.10.1109/TIE.2017.278438546.
Khamies
,
M.
,
Magdy
,
G.
,
Hussein
,
M. E.
,
Banakhr
,
F. A.
, and
Kamel
,
S.
, 2020
, “
An Efficient Control Strategy for Enhancing Frequency Stability of Multi-Area Power System Considering High Wind Energy Penetration
,” IEEE Access
,
8
, pp. 140062
–140078
.10.1109/ACCESS.2020.301211947.
Pathak
,
P. K.
,
Yadav
,
A. K.
, and
Alvi
,
P. A.
, 2022
, “
A State-of-the-Art Review on Shading Mitigation Techniques in Solar Photovoltaics Via Meta-Heuristic Approach
,” Neural Comput. Appl.
,
34
(1
), pp. 171
–209
.10.1007/s00521-021-06586-348.
Abdollahzadeh
,
B.
,
Soleimanian
,
F.
, and
Mirjalili
,
S.
, 2021
, “
Artificial Gorilla Troops Optimizer: A New Nature‐Inspired Metaheuristic Algorithm for Global Optimization Problems
,” Int. J. Intell. Syst.
,
36
(10
), pp. 5887
–5958
.10.1002/int.22535Copyright © 2023 by ASME
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