Energy Management and Control in Micro Grid with Hybrid Energy Storage Systems by Using PI and Flatness Theory

Energy Management and Control in Micro Grid with Hybrid Energy Storage Systems by Using PI and Flatness Theory

© 2021 by IJETT Journal
Volume-69 Issue-11
Year of Publication : 2021
Authors : Mohammed. S. Mohammed, Khaled. M. Al-Awasa, Husssein. D. Al-Majali
DOI :  10.14445/22315381/IJETT-V69I11P229

How to Cite?

Mohammed. S. Mohammed, Khaled. M. Al-Awasa, Husssein. D. Al-Majali, "Energy Management and Control in Micro Grid with Hybrid Energy Storage Systems by Using PI and Flatness Theory," International Journal of Engineering Trends and Technology, vol. 69, no. 11, pp. 227-235, 2021. Crossref,

In this paper, the control and energy management system (EMS) has been addressed for the smart isolated grid system. The proposed system consists of two sources for the production of renewable energy, solar cell (PV) and fuel cell (FC). These units work to integrate production and achieve stability, where PV is considered the primary source of production, in the case of the availability of ideal conditions from radiation and temperature, FC compensates for the lack of energy when any defect occurs in the PV unit. Two types of storage units, Battery (Bat.) and a super-capacitor (SC), were linked, each complementing the other to get a fast and long-term response. These units are linked with DC_bus by inverters. DC_bus and AC_bus were used with AC and DC loads. By using two types of control methods PID and Flatness to obtain a constant voltage For AC and DC loads, Also the PSO method was used to track the production of units PV to obtain the highest energy from the available solar radiation MPPT, where the super-capacitor SC controls the voltage of DC and AC bus. The Matlab program represented the system, and it was found that this system can be applied to isolated networks to obtain high power stability.

Flatness, Fuel cell (FC), solar cell (PV), energy and management system (EMS).

[1] Khaligh, A., & Onar, O. C., Energy harvesting: solar, wind, and ocean energy conversion systems. Energy harvesting: solar, wind, and ocean energy conversion systems. Talyer and Franceis Group, ISBN: 978-1- 4398-1508-3, U.S.A. (2010).
[2] Motahhir, S., Chalh, A., Ghzizal, A., Sebti, S., & Derouich, A., Modeling of photovoltaic panel by using proteus. Journal of Engineering Science and Technology Review, 10 (2017) 8-13.
[3] Chowdhury, S. C. S. P., Chowdhury, S. P., Taylor, G. A., & Song, Y. H., Mathematical modelling and performance evaluation of a standalone polycrystalline PV plant with MPPT facility. In IEEE Power and Energy Society General Meeting-Conversion and Delivery of Electrical Energy in the 21st Century (2008) 1-7. IEEE.
[4] M. N. Eisler, The carbon-eating fuel cell [blueprints for a miracle], IEEE Spectr., 55(6) (2018) 22–76.
[5] M. N. Eisler, The carbon-eating fuel cell [blueprints for a miracle] IEEE Spectr., 55(6) (2018) 22–76.
[6] Q. Xun, Y. Liu, and E. Holmberg, A comparative study of fuel cell electric vehicles hybridization with battery or super-capacitor, in Proc. Int. Symp. Power Electron. Electr. Drives, Autom. Motion, Jun. (2018) 389–394.
[7] Mohammad faisal1, mahammad a. hannan ,pin jern ker1, aini hussain, muhamad bin mansor1,and frede blaabjerg, Review of Energy Storage System Technologies in Microgrid Applications: Issues and Challenges, 2169-3536 2018 IEEE.
[8] K. Sahay and B. Dwivedi, Supercapacitors energy storage system for power quality improvement: An overview, quality, 5(4) (2009).
[9] C. Zhu, R. Lu, L. Tian, and Q. Wang, The development of an electric bus with super-capacitors as unique energy storage, in Proc. IEEE Veh. Power Propuls. Conf. (2006) 1–5.
[10] M. G. Molina, Distributed energy storage systems for applications in future smart grids, in Proc. 6th IEEE/PES Transmiss. Distrib. Latin Amer. Conf. Expo., (2012) 1–7.
[11] Electrical energy storage—White paper, Int. Electrotech. Commun., (2011) 1–78, [Online]. Available:
[12] K. C. Divya and J. Østergaard, Battery energy storage technology for power systems—An overview, Elect. Power Syst. Res., 79(4) (2009) 511–520.
[13] J. Kim, Y. Suharto, and T. U. Daim, Evaluation of electrical energy storage (EES) technologies for renewable energy: A case from the US pacific northwest, J. Energy Storage, 11 (2017) 25–54.
[14] Asala. S. Al-Dmour, H. D. Al-Majali and Ziyad. S. Al-Majali, Staircase Modulation Using GWO Technique for CHB-MLI with Symmetrical and Asymmetrical Mode, International Journal of Engineering Trends and Technology, 69(8) (2021) 71-80
[15] H. D. Al-Majali, B.H.Al-Majali and Z. S. Almajali, Reduced Harmonics Generated and Reactive Volt-Ampere absorption of HVDC Converter Using By-Pass Switch, Transaction on Control and Systems, ( WSEAS), 15 (2020) 218 -227.
[16] H. D. Al-Majali and B. H. Al-Majali, Fast and Continuous Control of a Modified HVDC Converter, WSEAS Transaction on Control and Systems, 19 (2019) 326-332.
[17] M. W. Alzalan, K. M. Alawasa and H. D. Al-Majali, Performance Evaluation of Different Optimal-Tuned Current Controllers for Voltage-Source Converter Connected to a Weak AC Grid, IEEE Jordan International Joint Conference on Electrical Engineering and Information Technology (JEEIT), (2019) 198-203.
[18] H. D. Al-Majali and S. Al-Dhalaan, A Snubber Configuration for Modified Bridge Converter, Electric Power Components and Systems (Taylor & Francis) 34(11) (2006) 1177-1190.
[19] Xue Feng, Graduate, H. B. Gooi, Senior, and S. X. Chen, Hybrid Energy Storage With Multimode Fuzzy Power Allocator for PV Systems, IEEE transactions on sustainable energy, 5(2) (2014).
[20] Manju Ann Mathews, Rajeev.T, Fuzzy Based Management of Hybrid Energy Storage System for Improved Dynamic Response of DC Microgrid, IEEE International Conference on Power Electronics, Smart Grid and Renewable Energy (PESGRE2020).
[21] e Yin, Wenhao Zhou, Mian Li, Chengbin Ma, and Chen Zhao, An adaptive fuzzy logic-based energy management strategy on battery ultracapacitor hybrid electric vehicles, IEEE transactions on transportation electrification, 2(3) (2016).
[22] Vinod Tejwani, Bhavik Sulhar, 31 Energy-Management-System-in- Fuel-Cell-Ultracapacitor-Battery-Hybrid-Energy-Storage, International Journal of Electronics and Communication Engineering 9(12) (2015).
[23] Haihua Zhou, Tanmoy Bhattacharya, Duong Tran, Tuck Sing Terence Siew, and Ashwin M. Khambadkone, Composite energy storage system involving battery and ultracapacitor with dynamic energy management in microgrid application IEEE transactions on power electronics, 26(3) (2011).
[24] W.L. Jing, C. H. Lai, Wallace S.H. Wong, M.L. Dennis Wong, cost analysis of battery-supercapacitor hybrid energy storage system for standalone PV system, Faculty of Engineering, Computing & Science, Swinburne University of Technology Sarawak Campus, Jalan Simpang Tiga, 93350 Kuching, Sarwak, Malaysia.
[25] Seydali Ferahtia, Ali Djerioui, Samir Zeghlache, Azeddine Houari, A hybrid power system based on fuel cell, photovoltaic source and supercapacitor, SN Applied Science.(2020).
[26] Sathishkumar R, Sathish Kumar Kollimalla, Mahesh K. Mishra, Dynamic Energy Management of Micro Grids Using Battery Super Capacitor Combined Storage, IEEE.(2012).
[27] Luis Galván, Juan M. Navarro, Eduardo Galván, Juan M. Carrasco and Andrés Alcántara, Optimal Scheduling of Energy Storage Using A New priority based smart grid control method,Energies (2019).
[28] Raju Manuel & Poorani Shivkumar, Power Flow Control (PFC) model of energy storage connected to smart grid in unbalance conditions a GSA technique based assessment, University of Florida,14 November (2017).
[29] Francesco Grasso, Mostafa Abdollahi, Giacomo Talluri, Libero Paolucci, Power Control and Energy Management of Grid Scale Energy Storage Systems for Smart Users2019 AEIT.
[30] Sergio Augusto Oliveira da silva , Comparative Analysis of ABC Ba GWO and PSO mppt Algorithms for MPPT in PV system, research gate (2019).