Realization and Supervision of an Intelligent Energy Distribution System with a New Combination Topology of Fuzzy and PID Controllers

Fathallah Rerhrhaye; Driss Khouili; Ilyas Lahlouh; Yassine Ennaciri; Badr Rerhrhaye; Chirine Benzazah; Ahmed El Akkary; Nacer Sefiani

doi:10.15866/irea.v11i3.22838

Realization and Supervision of an Intelligent Energy Distribution System with a New Combination Topology of Fuzzy and PID Controllers

Fathallah Rerhrhaye^(1*), Driss Khouili⁽²⁾, Ilyas Lahlouh⁽³⁾, Yassine Ennaciri⁽⁴⁾, Badr Rerhrhaye⁽⁵⁾, Chirine Benzazah⁽⁶⁾, Ahmed El Akkary⁽⁷⁾, Nacer Sefiani⁽⁸⁾

^(*) Corresponding author

Authors' affiliations

DOI: https://doi.org/10.15866/irea.v11i3.22838

Abstract

In this paper, an Intelligent Energy Distribution System (IEDS) has been designed by using the Supervisory Control and Data Acquisition (SCADA) system, such as LabVIEW. The main purpose of this IEDS has been to optimize, according to the needs of the laboratory, the utilization of the energy produced by renewable sources in the installation and then distribute it rationally automatically. Thus, in the recommended approach, a Multi-Input Multi-Output (MIMO) Fuzzy Logic Controller (FLC) has been joined with a Fuzzy Logic Tuning Proportional, Integral, Derivative (FLTPID) controller to give a new typology of the controller, which is named fuzzy PID smart controller FPIDSC. Therefore, this paper has aimed to design a robust power management system based on a new strategy of control, to manipulate a hybrid system management. As a comparison result between three types of controllers, the On/Off controller, the FLC controller, and the proposed controller FPIDSC, the last one has given a decrease in the use of the grid by 6,7304% compared to the FLC controller, and 18,8934% compared to the On/Off controller. Furthermore, a, decrease energy loses by solar energy of 17% compared to the FLC controller and 41,325% compared to the On/Off controller. Based on the results obtained, the proposed controller has shown its efficiency compared to the controllers used in this study.
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Keywords

Management Energy; SCADA; FLC; FLTPID; Control; Renewable Energy

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References

O. Bamisile et al., Impact of economic development on CO2 emission in Africa; the role of BEVs and hydrogen production in renewable energy integration, International Journal of Hydrogen Energy, vol. 46, no. 2, pp. 2755-2773, Jan. 2021.
https://doi.org/10.1016/j.ijhydene.2020.10.134

M. M. Hasan and W. Chongbo, Estimating energy-related CO2 emission growth in Bangladesh: The LMDI decomposition method approach, Energy Strategy Reviews, vol. 32, p. 100565, Nov. 2020.
https://doi.org/10.1016/j.esr.2020.100565

A. Ahmadian, M. Sedghi, M. Aliakbar-Golkar, A. Elkamel, and M. Fowler, Optimal probabilistic based storage planning in tap-changer equipped distribution network including PEVs, capacitor banks and WDGs: A case study for Iran, Energy, vol. 112, pp. 984-997, Oct. 2016.
https://doi.org/10.1016/j.energy.2016.06.132

Rerhrhaye, F., Chebli, S., Elakkary, A., Sefiani, N., Bond Graph-Based Modelling for Parameter Identification of 5 kW Photovoltaic Group, (2019) International Review on Modelling and Simulations (IREMOS), 12 (6), pp. 390-397.
https://doi.org/10.15866/iremos.v12i6.17046

R. Halvgaard, N. K. Poulsen, H. Madsen and J. B. Jørgensen, Economic Model Predictive Control for building climate control in a Smart Grid, 2012 IEEE PES Innovative Smart Grid Technologies (ISGT), Washington, DC, USA, 2012, pp. 1-6.
https://doi.org/10.1109/ISGT.2012.6175631

A. Tahri, H. El Fadil, F. Giri, and F.-Z. Chaoui, Nonlinear Adaptive Control of a Hybrid Fuel Cell Power System for Electric Vehicles - a Lyapunov Stability Based Approach: Lyapunov Based Adaptive Controller for Electric Vehicle Hybrid Power System, Asian Journal of Control, vol. 18, no. 1, pp. 166-177, Jan. 2016.
https://doi.org/10.1002/asjc.1231

I. Koutsopoulos and L. Tassiulas, Optimal Control Policies for Power Demand Scheduling in the Smart Grid, IEEE J. Select. Areas Commun., vol. 30, no. 6, Art. no. 6, Jul. 2012.
https://doi.org/10.1109/JSAC.2012.120704

Rerhrhaye, F., Lahlouh, I., Ennaciri, Y., Benzazah, C., Akkary, A., Sefiani, N., New Solar MPPT Control Technique Based on Incremental Conductance and Multi-Objective Ant Colony Optimization, (2022) International Review of Automatic Control (IREACO), 15 (3), pp. 113-121.
https://doi.org/10.15866/ireaco.v15i3.22076

T. Herlambang, D. Rahmalia, and T. Yulianto, Particle Swarm Optimization (PSO) and Ant Colony Optimization (ACO) for optimizing PID parameters on Autonomous Underwater Vehicle (AUV) control system, J. Phys.: Conf. Ser., vol. 1211, p. 012039, Apr. 2019.
https://doi.org/10.1088/1742-6596/1211/1/012039

I. Lahlouh, F. Rerhrhaye, A. Elakkary, and N. Sefiani, Experimental implementation of a new multi input multi output fuzzy-PID controller in a poultry house system, Heliyon, vol. 6, no. 8, p. e04645, Aug. 2020.
https://doi.org/10.1016/j.heliyon.2020.e04645

Bataineh, A., Batayneh, W., Okour, M., Intelligent Control Strategies for Three Degree of Freedom Active Suspension System, (2021) International Review of Automatic Control (IREACO), 14 (1), pp. 17-27.
https://doi.org/10.15866/ireaco.v14i1.20057

A. Choudar, D. Boukhetala, S. Barkat, and J.-M. Brucker, A local energy management of a hybrid PV-storage based distributed generation for microgrids, Energy Conversion and Management, vol. 90, pp. 21-33, Jan. 2015.
https://doi.org/10.1016/j.enconman.2014.10.067

Sánchez Ocaña, W., Muñoz Cueva, V., Rivera Flores, J., Modeling and Implementation of a Proportional Hydraulic System to Control the Position and Pressure of a Plastic Extruder, (2020) International Review of Mechanical Engineering (IREME), 14 (1), pp. 43-55.
https://doi.org/10.15866/ireme.v14i1.17648

O. O. Andreassen, O. Ø. Andreassen, F. Augrandjean, and E. B. Vinuela, LabVIEW as a New Supervision Solution for Industrial Control Systems, ICALEPCS2015, p. 4, 2015.

Souissi, A., Hasnaoui, O., A Maximum Power Point Tracking Method for a Photovoltaic Power System, (2020) International Journal on Engineering Applications (IREA), 8 (4), pp. 133-139.
https://doi.org/10.15866/irea.v8i4.18494

I. Erenoglu, I. Eksin, E. Yesil, and M. Guzelkaya, An Intelligent Hybrid Fuzzy Pid Controller, in ECMS 2006 Proceedings edited by: W. Borutzky, A. Orsoni, R. Zobel, ECMS, May 2006, pp. 62-66.
https://doi.org/10.7148/2006-0062

Ali, A., Barkat, S., Fuzzy Logic Controller Optimized by BBO for Decentralized Source Based on a SOFC, (2022) International Review on Modelling and Simulations (IREMOS), 15 (2), pp. 84-96.
https://doi.org/10.15866/iremos.v15i2.21809

Prada, G., Rojas, J., Romero, G., Fuzzy Adaptive PID Control of a Shell and Tube Heat Exchanger Output Temperature, (2020) International Review of Automatic Control (IREACO), 13 (6), pp. 283-291.
https://doi.org/10.15866/ireaco.v13i6.19148

Rerhrhaye, F., Lahlouh, I., Ennaciri, Y., Benzazah, C., Akkary, A., Sefiani, N., New Solar MPPT Control Technique Based on Incremental Conductance and Multi-Objective Genetic Algorithm Optimization, (2022) International Journal on Energy Conversion (IRECON), 10 (3), pp. 70-78.
https://doi.org/10.15866/irecon.v10i3.22156

Qasim, M., Velkin, V., Maximum Power Point Tracking Techniques for Micro-Grid Hybrid Wind and Solar Energy Systems - a Review, (2020) International Journal on Energy Conversion (IRECON), 8 (6), pp. 223-234.
https://doi.org/10.15866/irecon.v8i6.19502

Ajaamoum, M., Kourchi, M., Bouachrine, B., Oubella, M., Ihlal, A., Bouhouch, L., Rapid Prototyping Test Bed of MPPT Photovoltaic Controller Based on Takagi-Sugeno Fuzzy Models, (2019) International Review on Modelling and Simulations (IREMOS), 12 (5), pp. 303-312.
https://doi.org/10.15866/iremos.v12i5.16699

Sunarno, E., Assidiq, R., Nugraha, S., Sudiharto, I., Qudsi, O., Eviningsih, R., Application of the Artificial Neural Network (ANN) Method as MPPT Photovoltaic for DC Source Storage, (2019) International Review of Automatic Control (IREACO), 12 (3), pp. 145-153.
https://doi.org/10.15866/ireaco.v12i3.16455

Lahlouh, I., Rerhrhaye, F., Elakkary, A. et al. A combined static output feedback-PID control for TITO process based particle swarm optimization: simulation and practical implementation for the poultry house system. Int. J. Dynam. Control 10, 1485-1498 (2022).
https://doi.org/10.1007/s40435-021-00882-5

Massaq, Z., Chbirik, G., Abounada, A., Brahmi, A., Ramzi, M., Control of Photovoltaic Water Pumping System Employing Non-Linear Predictive Control and Fuzzy Logic Control, (2020) International Review on Modelling and Simulations (IREMOS), 13 (6), pp. 373-382.
https://doi.org/10.15866/iremos.v13i6.18615

Gül, Ö., A Research on Cyber Security Intrusion Detection Against Physical Access Cyber Attacks Using Open Source Software for Smart Grids, (2021) International Review of Electrical Engineering (IREE), 16 (2), pp. 136-146.
https://doi.org/10.15866/iree.v16i2.19174

S. Saravanan and S. Thangavel, Fuzzy logic controller based power management for a standalone solar/wind/fuel cell fed hybrid system, Journal of Renewable and Sustainable Energy, vol. 5, no. 5, p. 053147, Sep. 2013.
https://doi.org/10.1063/1.4827315

M. Abbaspour, M. Satkin, B. Mohammadi-Ivatloo, F. Hoseinzadeh Lotfi, and Y. Noorollahi, Optimal operation scheduling of wind power integrated with compressed air energy storage (CAES), Renewable Energy, vol. 51, pp. 53-59, Mar. 2013.
https://doi.org/10.1016/j.renene.2012.09.007

Boulaoutaq, E., Kourchi, M., Rachdy, A., Active Disturbance Rejection Control Strategy for Direct Power Control of a DFIG-Based Wind Turbine Connected to the Undisturbed Utility Grid, (2020) International Journal on Engineering Applications (IREA), 8 (5), pp. 165-177.
https://doi.org/10.15866/irea.v8i5.19441

Lahlouh, I., Rerhrhaye, F., Elakkary, A. et al. Robust LQR control based on multidimensional particle swarm optimization for enhancing the dynamic performance of poultry house system. Int. J. Dynam. Control 11, 1593-1608 (2023).
https://doi.org/10.1007/s40435-022-01082-5

S. Meo and L. Toscano, Some New Results on the Averaging Theory Approach for the Analysis of Power Electronic Converters, in IEEE Transactions on Industrial Electronics, vol. 65, no. 12, pp. 9367-9377, Dec. 2018.
https://doi.org/10.1109/TIE.2018.2821620

A. Del Pizzo, L. P. Di Noia and S. Meo, Super twisting sliding mode control of smart-inverters grid-connected for PV applications, 2017 IEEE 6th International Conference on Renewable Energy Research and Applications (ICRERA), San Diego, CA, USA, 2017, pp. 793-796.
https://doi.org/10.1109/ICRERA.2017.8191168

M. Babaei and M. T. H. Beheshti, Demand Side Management of a Stand-alone Hybrid Power Grid by Using Fuzzy Type-2 Logic Control, in 2018 Smart Grid Conference (SGC), Sanandaj, Iran: IEEE, Nov. 2018, pp. 1-6.
https://doi.org/10.1109/SGC.2018.8777804

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