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This chapter presents novel structured singleinput interval type2 fuzzy logic controllers (SIIT2FLCs) for the frequency damping of multimicrogrids (MMGs), whereas the application of electric vehicles (EVs) is considered in this context. For this purpose, a new SIIT2fuzzy PD/fuzzy PI (SIIT2FPD/FPI) controller is designed on two levels. Initially, an improved whale optimization algorithm, called IWOA, is adopted to adjust the setting of the gains embedded in the FPD/FPI section effectively. Then, the impact of the footprint of uncertainty (FOU), to offer extra design freedom, on control surface generation of SIIT2FLC has been investigated. In this way, various control surfaces were generated by varying a single coefficient which forms the FOU. Lastly, by adopting hardwareintheloop (HIL) simulator, the feasibility and usefulness of the suggested framework are verified from a realtime perspective.
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1.
go back to reference M. Gheisarnejad, M.H. Khooban, T. Dragičevié, The future 5G networkbased secondary load frequency control in shipboard microgrids. IEEE J. Emerg. Select. Topics Power Electr. 8, 836–844 (2019) CrossRef M. Gheisarnejad, M.H. Khooban, T. Dragičevié, The future 5G networkbased secondary load frequency control in shipboard microgrids. IEEE J. Emerg. Select. Topics Power Electr.
8, 836–844 (2019)
CrossRef
2.
go back to reference I. Pan, S. Das, Fractional order AGC for distributed energy resources using robust optimization. IEEE Trans. Smart Grid 7, 2175–2186 (2015) CrossRef I. Pan, S. Das, Fractional order AGC for distributed energy resources using robust optimization. IEEE Trans. Smart Grid
7, 2175–2186 (2015)
CrossRef
3.
go back to reference M. Gheisarnejad, M.H. Khooban, Secondary load frequency control for multimicrogrids: HiL realtime simulation. Soft. Comput. 23, 5785–5798 (2019) CrossRef M. Gheisarnejad, M.H. Khooban, Secondary load frequency control for multimicrogrids: HiL realtime simulation. Soft. Comput.
23, 5785–5798 (2019)
CrossRef
4.
go back to reference M.H. Khooban, M. Gheisarnejad, A novel deep reinforcement learning controller based typeII fuzzy system: Frequency regulation in microgrids. IEEE Trans. Emerg. Topics Comput. Intel. (2020) M.H. Khooban, M. Gheisarnejad, A novel deep reinforcement learning controller based typeII fuzzy system: Frequency regulation in microgrids. IEEE Trans. Emerg. Topics Comput. Intel. (2020)
5.
go back to reference M.R. Chen, G.Q. Zeng, Y.X. Dai, K.D. Lu, D.Q. Bi, FractionalOrder model predictive frequency control of an islanded microgrid. Energies, 12, 84, (2019) M.R. Chen, G.Q. Zeng, Y.X. Dai, K.D. Lu, D.Q. Bi, FractionalOrder model predictive frequency control of an islanded microgrid. Energies,
12, 84, (2019)
6.
go back to reference M.H. Khooban, M. Gheisarnejad, Islanded microgrid frequency regulations concerning the integration of tidal power units: Realtime implementation. IEEE Trans. Circuit Syst. II Express Briefs 67, 1099–1103 (2019) CrossRef M.H. Khooban, M. Gheisarnejad, Islanded microgrid frequency regulations concerning the integration of tidal power units: Realtime implementation. IEEE Trans. Circuit Syst. II Express Briefs
67, 1099–1103 (2019)
CrossRef
7.
go back to reference M. Gheisarnejad, P. Karimaghaee, J. Boudjadar, M.H. Khooban, Realtime cellular wireless sensor testbed for frequency regulation in smart grids. IEEE Sensors J. 19, 11656–11665 (2019) CrossRef M. Gheisarnejad, P. Karimaghaee, J. Boudjadar, M.H. Khooban, Realtime cellular wireless sensor testbed for frequency regulation in smart grids. IEEE Sensors J.
19, 11656–11665 (2019)
CrossRef
8.
go back to reference I. Pan, S. Das, Fractional order fuzzy control of hybrid power system with renewable generation using chaotic PSO. ISA Trans. 62, 19–29 (2016) CrossRef I. Pan, S. Das, Fractional order fuzzy control of hybrid power system with renewable generation using chaotic PSO. ISA Trans.
62, 19–29 (2016)
CrossRef
9.
go back to reference K.S. Rajesh, S.S. Dash, Load frequency control of autonomous power system using adaptive fuzzy based PID controller optimized on improved sine cosine algorithm. J. Ambient. Intell. Humaniz. Comput. 10, 2361–2373 (2019) CrossRef K.S. Rajesh, S.S. Dash, Load frequency control of autonomous power system using adaptive fuzzy based PID controller optimized on improved sine cosine algorithm. J. Ambient. Intell. Humaniz. Comput.
10, 2361–2373 (2019)
CrossRef
10.
go back to reference M.H. Fini, M.E.H. Golshan, Determining optimal virtual inertia and frequency control parameters to preserve the frequency stability in islanded microgrids with high penetration of renewables. Electr. Power Syst. Res. 154, 13–22 (2018) CrossRef M.H. Fini, M.E.H. Golshan, Determining optimal virtual inertia and frequency control parameters to preserve the frequency stability in islanded microgrids with high penetration of renewables. Electr. Power Syst. Res.
154, 13–22 (2018)
CrossRef
11.
go back to reference H. Wang, G. Zeng, Y. Dai, D. Bi, J. Sun, X. Xie, Design of a fractional order frequency PID controller for an islanded microgrid: A multiobjective extremal optimization method. Energies 10, 1502 (2017) CrossRef H. Wang, G. Zeng, Y. Dai, D. Bi, J. Sun, X. Xie, Design of a fractional order frequency PID controller for an islanded microgrid: A multiobjective extremal optimization method. Energies
10, 1502 (2017)
CrossRef
12.
go back to reference M.H. Khooban, T. Niknam, M. ShaSadeghi, Speed control of electrical vehicles: A timevarying proportional–integral controllerbased type2 fuzzy logic. IET Sci. Measur. Technol. 10, 185–192 (2016) CrossRef M.H. Khooban, T. Niknam, M. ShaSadeghi, Speed control of electrical vehicles: A timevarying proportional–integral controllerbased type2 fuzzy logic. IET Sci. Measur. Technol.
10, 185–192 (2016)
CrossRef
13.
go back to reference M. RahmaniAndebili, M. Bonamente, J.A. Miller, Charging management of plugin electric vehicles in San Francisco applying Monte Carlo Markov chain and stochastic model predictive control and considering renewables and drag force. IET Gener. Trans. Distrib. (2020) M. RahmaniAndebili, M. Bonamente, J.A. Miller, Charging management of plugin electric vehicles in San Francisco applying Monte Carlo Markov chain and stochastic model predictive control and considering renewables and drag force. IET Gener. Trans. Distrib. (2020)
14.
go back to reference M. RahmaniAndebili, M. FotuhiFiruzabad, An adaptive approach for PEVs charging management and reconfiguration of electrical distribution system penetrated by renewables. IEEE Trans. Ind. Inf. 14, 2001–2010 (2017) CrossRef M. RahmaniAndebili, M. FotuhiFiruzabad, An adaptive approach for PEVs charging management and reconfiguration of electrical distribution system penetrated by renewables. IEEE Trans. Ind. Inf.
14, 2001–2010 (2017)
CrossRef
15.
go back to reference M. RahmaniAndebili, Studying the effects of plugin electric vehicles on the real power markets demand considering the technical and social aspects, in Planning and Operation of PlugIn Electric Vehicles (Springer, 2019), pp. 1–21 M. RahmaniAndebili, Studying the effects of plugin electric vehicles on the real power markets demand considering the technical and social aspects, in
Planning and Operation of PlugIn Electric Vehicles (Springer, 2019), pp. 1–21
16.
go back to reference M.H. Khooban, M. Gheisarnejad, N. Vafamand, J. Boudjadar, Electric vehicle power propulsion system control based on timevarying fractional calculus: Implementation and experimental results. IEEE Trans. Intel. Vehic. 4, 255–264 (2019) CrossRef M.H. Khooban, M. Gheisarnejad, N. Vafamand, J. Boudjadar, Electric vehicle power propulsion system control based on timevarying fractional calculus: Implementation and experimental results. IEEE Trans. Intel. Vehic.
4, 255–264 (2019)
CrossRef
17.
go back to reference M. RahmaniAndebili, Spinning reserve capacity provision by the optimal fleet management of plugin electric vehicles considering the technical and social aspects, in Planning and Operation of PlugIn Electric Vehicles (Springer, 2019), pp. 49–74 M. RahmaniAndebili, Spinning reserve capacity provision by the optimal fleet management of plugin electric vehicles considering the technical and social aspects, in
Planning and Operation of PlugIn Electric Vehicles (Springer, 2019), pp. 49–74
18.
go back to reference S. Falahati, S. A. Taher, M. Shahidehpour, Grid secondary frequency control by optimized fuzzy control of electric vehicles. IEEE Trans. Smart Grid (2017) S. Falahati, S. A. Taher, M. Shahidehpour, Grid secondary frequency control by optimized fuzzy control of electric vehicles. IEEE Trans. Smart Grid (2017)
19.
go back to reference T. Goya, E. Omine, Y. Kinjyo, T. Senjyu, A. Yona, N. Urasaki, et al., Frequency control in isolated island by using parallel operated battery systems applying H∞ control theory based on droop characteristics. IET Renew. Power Gener. 5, 160–166 (2011) CrossRef T. Goya, E. Omine, Y. Kinjyo, T. Senjyu, A. Yona, N. Urasaki, et al., Frequency control in isolated island by using parallel operated battery systems applying H∞ control theory based on droop characteristics. IET Renew. Power Gener.
5, 160–166 (2011)
CrossRef
20.
go back to reference J. Yang, Z. Zeng, Y. Tang, J. Yan, H. He, Y. Wu, Load frequency control in isolated microgrids with electrical vehicles based on multivariable generalized predictive theory. Energies 8, 2145–2164 (2015) CrossRef J. Yang, Z. Zeng, Y. Tang, J. Yan, H. He, Y. Wu, Load frequency control in isolated microgrids with electrical vehicles based on multivariable generalized predictive theory. Energies
8, 2145–2164 (2015)
CrossRef
21.
go back to reference S. Kayalvizhi, D.M.V. Kumar, Load frequency control of an isolated micro grid using fuzzy adaptive model predictive control. IEEE Access 5, 16241–16251 (2017) CrossRef S. Kayalvizhi, D.M.V. Kumar, Load frequency control of an isolated micro grid using fuzzy adaptive model predictive control. IEEE Access
5, 16241–16251 (2017)
CrossRef
22.
go back to reference H. Bevrani, F. Habibi, P. Babahajyani, M. Watanabe, Y. Mitani, Intelligent frequency control in an AC microgrid: Online PSObased fuzzy tuning approach. IEEE Trans. Smart Grid 3, 1935–1944 (2012) CrossRef H. Bevrani, F. Habibi, P. Babahajyani, M. Watanabe, Y. Mitani, Intelligent frequency control in an AC microgrid: Online PSObased fuzzy tuning approach. IEEE Trans. Smart Grid
3, 1935–1944 (2012)
CrossRef
23.
go back to reference M.H. Khooban, T. Niknam, M. Shasadeghi, T. Dragicevic, F. Blaabjerg, Load frequency control in microgrids based on a stochastic noninteger controller. IEEE Trans. Sustain. Energy 9, 853–861 (2018) CrossRef M.H. Khooban, T. Niknam, M. Shasadeghi, T. Dragicevic, F. Blaabjerg, Load frequency control in microgrids based on a stochastic noninteger controller. IEEE Trans. Sustain. Energy
9, 853–861 (2018)
CrossRef
24.
go back to reference K. Nosrati, H.R. Mansouri, H. Saboori, Fractionalorder PID controller design of frequency deviation in a hybrid renewable energy generation and storage system. CIREDOpen Access Proc. J. 2017, 1148–1152 (2017) CrossRef K. Nosrati, H.R. Mansouri, H. Saboori, Fractionalorder PID controller design of frequency deviation in a hybrid renewable energy generation and storage system. CIREDOpen Access Proc. J.
2017, 1148–1152 (2017)
CrossRef
25.
go back to reference M.H. Khooban, Secondary load frequency control of timedelay standalone microgrids with electric vehicles. IEEE Trans. Ind. Electron. 65, 7416–7422 (2018) CrossRef M.H. Khooban, Secondary load frequency control of timedelay standalone microgrids with electric vehicles. IEEE Trans. Ind. Electron.
65, 7416–7422 (2018)
CrossRef
26.
go back to reference J. Pahasa, I. Ngamroo, Coordinated control of wind turbine blade pitch angle and PHEVs using MPCs for load frequency control of microgrid. IEEE Syst. J. 10, 97–105 (2016) CrossRef J. Pahasa, I. Ngamroo, Coordinated control of wind turbine blade pitch angle and PHEVs using MPCs for load frequency control of microgrid. IEEE Syst. J.
10, 97–105 (2016)
CrossRef
27.
go back to reference M. Datta, T. Senjyu, Fuzzy control of distributed PV inverters/energy storage systems/electric vehicles for frequency regulation in a large power system. IEEE Trans. Smart Grid 4, 479–488 (2013) CrossRef M. Datta, T. Senjyu, Fuzzy control of distributed PV inverters/energy storage systems/electric vehicles for frequency regulation in a large power system. IEEE Trans. Smart Grid
4, 479–488 (2013)
CrossRef
28.
go back to reference M. RahmaniAndebili, Studying the effects of optimal fleet management of plugin electric vehicles on the unit commitment problem considering the technical and social aspects, in Planning and Operation of PlugIn Electric Vehicles (Springer, 2019), pp. 23–47 M. RahmaniAndebili, Studying the effects of optimal fleet management of plugin electric vehicles on the unit commitment problem considering the technical and social aspects, in
Planning and Operation of PlugIn Electric Vehicles (Springer, 2019), pp. 23–47
29.
go back to reference A.A. ElFergany, M.A. ElHameed, Efficient frequency controllers for autonomous twoarea hybrid microgrid system using socialspider optimiser. IET Gener. Transm. Distrib. 11, 637–648 (2017) CrossRef A.A. ElFergany, M.A. ElHameed, Efficient frequency controllers for autonomous twoarea hybrid microgrid system using socialspider optimiser. IET Gener. Transm. Distrib.
11, 637–648 (2017)
CrossRef
30.
go back to reference S.K. Pandey, S.R. Mohanty, N. Kishor, J.P.S. Catalão, Frequency regulation in hybrid power systems using particle swarm optimization and linear matrix inequalities based robust controller design. Int. J. Electr. Power Energy Syst. 63, 887–900 (2014) CrossRef S.K. Pandey, S.R. Mohanty, N. Kishor, J.P.S. Catalão, Frequency regulation in hybrid power systems using particle swarm optimization and linear matrix inequalities based robust controller design. Int. J. Electr. Power Energy Syst.
63, 887–900 (2014)
CrossRef
31.
go back to reference M.H. Khooban, T. Niknam, F. Blaabjerg, P. Davari, T. Dragicevic, A robust adaptive load frequency control for microgrids. ISA Trans. 65, 220–229 (2016) CrossRef M.H. Khooban, T. Niknam, F. Blaabjerg, P. Davari, T. Dragicevic, A robust adaptive load frequency control for microgrids. ISA Trans.
65, 220–229 (2016)
CrossRef
32.
go back to reference M.H. Khooban, T. Niknam, F. Blaabjerg, T. Dragičević, A new load frequency control strategy for microgrids with considering electrical vehicles. Electr. Power Syst. Res. 143, 585–598 (2017) CrossRef M.H. Khooban, T. Niknam, F. Blaabjerg, T. Dragičević, A new load frequency control strategy for microgrids with considering electrical vehicles. Electr. Power Syst. Res.
143, 585–598 (2017)
CrossRef
33.
go back to reference H. Bevrani, M.R. Feizi, S. Ataee, Robust frequency control in an islanded microgrid: Hinf and μsynthesis approaches. IEEE Trans. Smart Grid 7, 706–717 (2016) H. Bevrani, M.R. Feizi, S. Ataee, Robust frequency control in an islanded microgrid: Hinf and μsynthesis approaches. IEEE Trans. Smart Grid
7, 706–717 (2016)
34.
go back to reference K.S. Rajesh, S.S. Dash, Load frequency control of autonomous power system using adaptive fuzzy based PID controller optimized on improved sine cosine algorithm. J. Ambient. Intell. Humaniz. Comput., 1–13 (2018) K.S. Rajesh, S.S. Dash, Load frequency control of autonomous power system using adaptive fuzzy based PID controller optimized on improved sine cosine algorithm. J. Ambient. Intell. Humaniz. Comput., 1–13 (2018)
35.
go back to reference A. Sarabakha, C. Fu, E. Kayacan, T. Kumbasar, Type2 fuzzy logic controllers made even simpler: From design to deployment for UAVs. IEEE Trans. Ind. Electron. 65, 5069–5077 (2018) CrossRef A. Sarabakha, C. Fu, E. Kayacan, T. Kumbasar, Type2 fuzzy logic controllers made even simpler: From design to deployment for UAVs. IEEE Trans. Ind. Electron.
65, 5069–5077 (2018)
CrossRef
36.
go back to reference R. Heydari, M. Gheisarnejad, M.H. Khooban, T. Dragicevic, F. Blaabjerg, Robust and fast voltagesourceconverter (VSC) control for naval shipboard microgrids. IEEE Trans. Power Electron. 34, 8299–8303 (2019) CrossRef R. Heydari, M. Gheisarnejad, M.H. Khooban, T. Dragicevic, F. Blaabjerg, Robust and fast voltagesourceconverter (VSC) control for naval shipboard microgrids. IEEE Trans. Power Electron.
34, 8299–8303 (2019)
CrossRef
37.
go back to reference M. Gheisarnejad, J. Boudjadar, M.H. Khooban, A new adaptive typeII fuzzybased deep reinforcement learning control: Fuel cell airfeed sensors control. IEEE Sensors J. 19, 9081–9089 (2019) CrossRef M. Gheisarnejad, J. Boudjadar, M.H. Khooban, A new adaptive typeII fuzzybased deep reinforcement learning control: Fuel cell airfeed sensors control. IEEE Sensors J.
19, 9081–9089 (2019)
CrossRef
38.
go back to reference M. Gheisarnejad, H. MohammadiMoghadam, J. Boudjadar, M.H. Khooban, Active power sharing and frequency recovery control in an islanded microgrid with nonlinear load and nondispatchable DG. IEEE Syst. J. 14, 1058–1068 (2019) CrossRef M. Gheisarnejad, H. MohammadiMoghadam, J. Boudjadar, M.H. Khooban, Active power sharing and frequency recovery control in an islanded microgrid with nonlinear load and nondispatchable DG. IEEE Syst. J.
14, 1058–1068 (2019)
CrossRef
39.
go back to reference A. Sarabakha, C. Fu, E. Kayacan, T. Kumbasar, Type2 fuzzy logic controllers made even simpler: From design to deployment for UAVs. IEEE Trans. Ind. Electron. 65, 5069–5077 (2017) CrossRef A. Sarabakha, C. Fu, E. Kayacan, T. Kumbasar, Type2 fuzzy logic controllers made even simpler: From design to deployment for UAVs. IEEE Trans. Ind. Electron.
65, 5069–5077 (2017)
CrossRef
40.
go back to reference T. Kumbasar, Robust stability analysis and systematic design of singleinput interval type2 fuzzy logic controllers. IEEE Trans. Fuzzy Syst. 24, 675–694 (2016) CrossRef T. Kumbasar, Robust stability analysis and systematic design of singleinput interval type2 fuzzy logic controllers. IEEE Trans. Fuzzy Syst.
24, 675–694 (2016)
CrossRef
41.
go back to reference M. Mehndiratta, E. Kayacan, T. Kumbasar, Design and experimental validation of single input type2 fuzzy PID controllers as applied to 3 DOF helicopter testbed, in 2016 IEEE International Conference on Fuzzy Systems (FUZZIEEE), 2016, pp. 1584–1591 M. Mehndiratta, E. Kayacan, T. Kumbasar, Design and experimental validation of single input type2 fuzzy PID controllers as applied to 3 DOF helicopter testbed, in
2016 IEEE International Conference on Fuzzy Systems (FUZZIEEE), 2016, pp. 1584–1591
42.
go back to reference T. Kumbasar, H. Hagras, A gradient descent based online tuning mechanism for PI type single input interval type2 fuzzy logic controllers, 1–6 T. Kumbasar, H. Hagras, A gradient descent based online tuning mechanism for PI type single input interval type2 fuzzy logic controllers, 1–6
43.
go back to reference S. Mirjalili, A. Lewis, The whale optimization algorithm. Adv. Eng. Softw. 95, 51–67 (2016) CrossRef S. Mirjalili, A. Lewis, The whale optimization algorithm. Adv. Eng. Softw.
95, 51–67 (2016)
CrossRef
44.
go back to reference M. Gheisarnejad, P. Karimaghaee, J. Boudjadar, M.H. Khooban, Realtime cellular wireless sensor testbed for frequency regulation in smart grids. IEEE Sensors J. (2019) M. Gheisarnejad, P. Karimaghaee, J. Boudjadar, M.H. Khooban, Realtime cellular wireless sensor testbed for frequency regulation in smart grids. IEEE Sensors J. (2019)
45.
go back to reference G.Q. Zeng, J. Chen, L.M. Li, M.R. Chen, L. Wu, Y.X. Dai, et al., An improved multiobjective populationbased extremal optimization algorithm with polynomial mutation. Inf. Sci. 330, 49–73 (2016) CrossRef G.Q. Zeng, J. Chen, L.M. Li, M.R. Chen, L. Wu, Y.X. Dai, et al., An improved multiobjective populationbased extremal optimization algorithm with polynomial mutation. Inf. Sci.
330, 49–73 (2016)
CrossRef
46.
go back to reference Z. Seif, M.B. Ahmadi, An oppositionbased algorithm for function optimization. Eng. Appl. Artif. Intell. 37, 293–306 (2015) CrossRef Z. Seif, M.B. Ahmadi, An oppositionbased algorithm for function optimization. Eng. Appl. Artif. Intell.
37, 293–306 (2015)
CrossRef
47.
go back to reference I. Pan, S. Das, Kriging based surrogate modeling for fractional order control of microgrids. IEEE Trans. Smart Grid 6, 36–44 (2015) CrossRef I. Pan, S. Das, Kriging based surrogate modeling for fractional order control of microgrids. IEEE Trans. Smart Grid
6, 36–44 (2015)
CrossRef
48.
go back to reference M.H. Khooban, T. Dragicevic, F. Blaabjerg, M. Delimar, Shipboard microgrids: A novel approach to load frequency control. IEEE Trans. Sustain. Energy 9, 843–852 (2018) CrossRef M.H. Khooban, T. Dragicevic, F. Blaabjerg, M. Delimar, Shipboard microgrids: A novel approach to load frequency control. IEEE Trans. Sustain. Energy
9, 843–852 (2018)
CrossRef
49.
go back to reference V. Kumar, K.P.S. Rana, P. Mishra, Robust speed control of hybrid electric vehicle using fractional order fuzzy PD and PI controllers in cascade control loop. J. Franklin Inst. 353, 1713–1741 (2016) MathSciNetCrossRef V. Kumar, K.P.S. Rana, P. Mishra, Robust speed control of hybrid electric vehicle using fractional order fuzzy PD and PI controllers in cascade control loop. J. Franklin Inst.
353, 1713–1741 (2016)
MathSciNetCrossRef
50.
go back to reference H. Zhang, Y. Zhang, C. Yin, Hardwareintheloop simulation of robust mode transition control for a series–parallel hybrid electric vehicle. IEEE Trans. Veh. Technol. 65, 1059–1069 (2016) CrossRef H. Zhang, Y. Zhang, C. Yin, Hardwareintheloop simulation of robust mode transition control for a series–parallel hybrid electric vehicle. IEEE Trans. Veh. Technol.
65, 1059–1069 (2016)
CrossRef
51.
go back to reference www.winddata.com. [Online; accessed 10.10.14]
www.winddata.com. [Online; accessed 10.10.14]
 Title
 Multimicrogrids with a Frequency RegulationBased V2G Technology: Systems Analysis, Modeling, and Control
 DOI
 https://doi.org/10.1007/9783030646318_1
 Authors:

Meysam Gheisarnejad
MohammadHassan Khooban
 Publisher
 Springer International Publishing
 Sequence number
 1
 Chapter number
 Chapter 1