BDC-Based Wind Energy Storage for Multimode Operating System

BDC-Based Wind Energy Storage for Multimode Operating System

Vellarivelli B. Thurai Raaj Krishan Suresh  Ramasamy Arulmozhiyal 

Department of EEE, VFSTR, Guntur 522213, AP, India

Department of EEE, Sona Engineering College, Salem 636005, TN, India

Corresponding Author Email: 
info2vb@gmail.com
Page: 
131-138
|
DOI: 
https://doi.org/10.18280/mmc_a.910305
Received: 
2 August 2018
| |
Accepted: 
18 September 2018
| | Citation

OPEN ACCESS

Abstract: 

We mainly focus on to creating a different mode of operation in an energy storage system for an effective way of wind energy utilization. The proposed energy storage system consists of Bidirectional DC–DC Converter (BDC), which makes the system effective in order to overcome the issues in practical usage. The modes of operations are based on three essential parameters such as wind-turbine speed (v), battery level (%) and load position (s). Based on the parameters’ magnitude, the main controller will choose an effective mode. The main controller is designed in such a manner that it must be capable of withstanding drastic conditions, must be robust, should monitor all parameters, and could maintain the stability of the system. The work is evaluated through MATLAB/Simulink environment. Finally, the real time prototype experimental results are compared with that of the simulation. In addition, the proposed system is applicable for commercial and domestic power-storage systems.

Keywords: 

Bidirectional Converter (BDC), main controller, inverter, wind energy, State of Charge (SOC)

1. Introduction
2. Proposed Method
3. Modes of Operation
4. Simulation and Real Time Result Comparison
5. Conclusions
  References

[1] Fujimoto Y, Takahashi Y, Hayashi Y. (2018). Alerting to rare large-scale ramp events in wind power generation. IEEE Transactions on Sustainable Energy (99): 1-1. https://doi.org/10.1109/TSTE.2018.2822807

[2] Averous NR. (2017). Development of a 4 MW full-size wind-turbine test bench. IEEE Journal of Emerging and Selected Topics in Power Electronics 5(2): 600-609. https://doi.org/10.1109/JESTPE.2017.2667399

[3] Chen X, Wang L, Sun H, Chen Y. (2017). Fuzzy logic based adaptive droop control in multi terminal HVDC for wind power integration. IEEE Transactions on Energy Conversion 32(3): 1200-1208. https://doi.org/10.1109/TEC.2017.2697967

[4] Shi J, Lee WJ, Liu X. (2018). Generation scheduling optimization of wind-energy storage system based on wind power output fluctuation features. IEEE Transactions on Industry Applications 54(1): 10-17. https://doi.org/0.1109/TIA.2017.2754978

[5] Chen X, Jiang Y, Yu K, Liao Y, Xie J, Wu Q. (2017). Combined time-varying forecast based on the proper scoring approach for wind power generation. The Journal of Engineering 2017(14): 2655-2659. https://doi.org/10.1049/joe.2017.0843

[6] Pan Y. (2018). Towards the robust small-signal stability region of power systems under perturbations such as uncertain and volatile wind generation. IEEE Transactions on Power Systems 33(2): 1790-1799. https://doi.org/10.1109/TPWRS.2017.2714759

[7] Chen L, Min Y, Dai Y, Wang M. (2017). Stability mechanism and emergency control of power system with wind power integration. IET Renewable Power Generation 11(1): 3-9. https://doi.org/10.1049/iet-rpg.2016.0147 

[8] Yao J, Yu M, Gao W, Zeng X. (2017). Frequency regulation control strategy for PMSG wind-power generation system with flywheel energy storage unit. IET Renewable Power Generation 11(8): 1082-1093. https://doi.org/10.1049/iet-rpg.2016.0047

[9] El-Arroudi JG. (2018). Performance of interconnection protection based on distance relaying for wind power distributed generation. IEEE Transactions on Power Delivery 33(2): 620-629. https://doi.org/10.1109/TPWRD.2017.2693292

[10] Liu YQ, Sun Y, David Infield, Zhao Y, Han S, Yan J. (2017). A hybrid forecasting method for wind power ramp based on Orthogonal Test and Support Vector Machine (OT-SVM). IEEE Transactions on Sustainable Energy 8(2). https://doi.org/10.1109/TSTE.2016.2604852

[11] Wan YH, Bucaneg D. (2002). Short-term power fluctuations of large wind power plants. Journal of Solar Energy Engineering 124-427. https://doi.org/10.1115/1.1507762

[12] Kim SJ, Choi WS, Pilawa-Podgurski R, Hanumolu PK. (2018). A 10-MHz 2–800-mA 0.5–1.5-V 90% peak efficiency time-based buck converter with seamless transition between PWM/PFM modes. IEEE Journal of Solid-State Circuits 53(3): 814-824. https://doi.org/10.1109/JSSC.2017.2776298

[13] Yang WH. (2018). A constant-on-time control DC–DC buck converter with the pseudowave tracking technique for regulation accuracy and load transient enhancement. IEEE Transactions on Power Electronics 33(7): 6187-6198. https://doi.org/10.1109/TPEL.2017.2746659

[14] Huang YW, Kuo TH, Huang SY, Fang KY. (2018). A four-phase buck converter with capacitor-current-sensor calibration for load-transient-response optimization that reduces undershoot/overshoot and shortens settling time to near their theoretical limits. IEEE Journal of Solid-State Circuits 53(2): 552-568. https://doi.org/10.1109/JSSC.2017.2768412

[15] Nien CF. (2017). A novel adaptive quasi-constant on-time current-mode buck converter. IEEE Transactions on Power Electronics 32(10): 8124-8133. https://doi.org/10.1109/TPEL.2016.2633760

[16] Schellekens JM, Huisman H, Duarte JL, Hendrix MAM, Lomonova EA. (2018). An analysis of the highly linear transfer characteristics of dual-buck converters. IEEE Transactions on Industrial Electronics 65(6): 4681-4690. https://doi.org/10.1109/TIE.2017.2772175

[17] Katuri R, Gorantla SR. (2018). Math function based controller applied to electric/hybrid electric vehicle in modelling. Measurement and Control A 91(1): 15-21. https://doi.org/10.18280/mmc_a.910103

[18] Guo Z, Sun K, Wu TF, Li C. (2018). An improved modulation scheme of current-fed bidirectional DC–DC converters for loss reduction. IEEE Transactions on Power Electronics 33(5): 4441-4457. https://doi.org/10.1109/TPEL.2017.2719722

[19] Babaei E, Saadatizadeh Z, Cecati C. (2017). High step-up high step-down bidirectional DC/DC converter. IET Power Electronics 10(12): 1556-1571. https://doi.org/10.1049/iet-pel.2016.0977

[20] Sri Revathi B, Mahalingam P. (2018). Modular high-gain DC–DC converter for renewable energy micro grids. Electrical Engineering 100: 1913-1924. https://doi.org/10.1007/s00202-017-0673-5