Research article

Voltage stability enhancement in grid-connected microgrid using enhanced dynamic voltage restorer (EDVR)

  • Received: 19 October 2020 Accepted: 21 December 2020 Published: 07 January 2021
  • Microgrid (MG) has extensive properties to overcome common problems of local distribution system. Some of those problems are generation and demand difference, blackout and brownout, environmental concerns due to burning of natural resources in power stations (indirectly), and reliability issues. Research on microgrid is being conducted to enhance its features to mitigate power quality (PQ) problems associated with distribution system. Voltage sag and swell have been major power quality problems for decades, loads in distribution system are heavily affected due to these power quality problems. In the distribution system, microgrid and power quality compensation strategy should be existed in order to ensure reliability and voltage sag/swell mitigation. Dynamic voltage restorer (DVR) is comprehensive power electronics based Flexible Alternating Current Transmission System (FACTS) device, it is third-generation FACTS device as its control scheme selection flexibility and power line coupling approach make it advance when compare to first and second-generation FACTS devices. In this paper, an Enhanced Dynamic Voltage Restorer (EDVR) is presented to efficiently mitigate voltage sag/swell in grid connected microgrid. On the one side, the presence of microgrid structure ensures reliability of distribution system for local loads on the other side, EDVR ensures voltage sag/swell free power supply for loads. The control strategy of EDVR is based on enhanced synchronous reference frame (ESRF) approach and fuzzy technique system. ESRF is specially design for fast and precise operation of EDVR whereas; fuzzy technique system is responsible for standardized voltage supply for local loads. DC link voltage of EDVR is effectively regulated with the help of proposed control scheme at the time of voltage sag/swell compensation. Stability analysis of ESRF control has been done using modeling of VSC and eigenvalue analysis system. Simulation results on MATLAB/Simulink verified the performance of EDVR under presented control approach hence the specific loads in distribution system are more secure under proposed microgrid system with EDVR.

    Citation: Ahsan Iqbal, Ayesha Ayoub, Asad Waqar, Azhar Ul-Haq, Muhammad Zahid, Syed Haider. Voltage stability enhancement in grid-connected microgrid using enhanced dynamic voltage restorer (EDVR)[J]. AIMS Energy, 2021, 9(1): 150-177. doi: 10.3934/energy.2021009

    Related Papers:

  • Microgrid (MG) has extensive properties to overcome common problems of local distribution system. Some of those problems are generation and demand difference, blackout and brownout, environmental concerns due to burning of natural resources in power stations (indirectly), and reliability issues. Research on microgrid is being conducted to enhance its features to mitigate power quality (PQ) problems associated with distribution system. Voltage sag and swell have been major power quality problems for decades, loads in distribution system are heavily affected due to these power quality problems. In the distribution system, microgrid and power quality compensation strategy should be existed in order to ensure reliability and voltage sag/swell mitigation. Dynamic voltage restorer (DVR) is comprehensive power electronics based Flexible Alternating Current Transmission System (FACTS) device, it is third-generation FACTS device as its control scheme selection flexibility and power line coupling approach make it advance when compare to first and second-generation FACTS devices. In this paper, an Enhanced Dynamic Voltage Restorer (EDVR) is presented to efficiently mitigate voltage sag/swell in grid connected microgrid. On the one side, the presence of microgrid structure ensures reliability of distribution system for local loads on the other side, EDVR ensures voltage sag/swell free power supply for loads. The control strategy of EDVR is based on enhanced synchronous reference frame (ESRF) approach and fuzzy technique system. ESRF is specially design for fast and precise operation of EDVR whereas; fuzzy technique system is responsible for standardized voltage supply for local loads. DC link voltage of EDVR is effectively regulated with the help of proposed control scheme at the time of voltage sag/swell compensation. Stability analysis of ESRF control has been done using modeling of VSC and eigenvalue analysis system. Simulation results on MATLAB/Simulink verified the performance of EDVR under presented control approach hence the specific loads in distribution system are more secure under proposed microgrid system with EDVR.


    加载中


    [1] Zia MF, Benbouzid M, Elbouchikhi E, et al. (2020) Microgrid transactive energy: Review, architectures, distributed ledger technologies, and market analysis. IEEE Access 8: 19410–19432. doi: 10.1109/ACCESS.2020.2968402
    [2] Han Y, Ning X, Yang P, et al. (2019) Review of power sharing, voltage restoration and stabilization techniques in hierarchical controlled DC microgrids. IEEE Access 7: 149202–149223. doi: 10.1109/ACCESS.2019.2946706
    [3] Wu X, Xu Y, He J, et al. (2019) Pinning-based hierarchical and distributed cooperative control for AC microgrid clusters. DIEEE Trans Power Elect, 1–20.
    [4] Natesan C, Kumar AS, Palani P, et al. (2014) Survey on microgrid: power quality improvement techniques. ISRN Otolaryngology. Available from: https://www.oalib.com/paper/3089465.
    [5] Rocabert J, Luna A, Blaabjerg F, et al. (2012) Control of power converters in AC microgrids. IEEE Trans Power Electron 27: 4734–4749. doi: 10.1109/TPEL.2012.2199334
    [6] Frolov V, Thakurta PG, Backhaus S, et al. (2019) Operations and uncertainty-aware installation of FACTS devices in a large transmission system. IEEE Trans contral Network Syst 6: 961–970. doi: 10.1109/TCNS.2019.2899104
    [7] Nascimentoa S, Gouvêa M (2016) Voltage stability enhancement in power systems with automatic facts device allocation. Energy Procedia 107: 60–67. doi: 10.1016/j.egypro.2016.12.129
    [8] Wvong D, Mihirig AM (1986) Catastrophe theory applied to transient stability assessment of power systems. IEE Proceed 133: 314–318. doi: 10.1049/ip-d.1986.0052
    [9] Yorino N, Priyadi A, Kakui H, et al. (2010) A new method for obtaining critical clearing time for transient stability. IEEE Trans Power Syst 25: 1620–1626. doi: 10.1109/TPWRS.2009.2040003
    [10] Pradhan M, Mishra MK (2019) Dual P-Q theory based energy-optimized dynamic voltage restorer for power quality improvement in a distribution system. IEEE Trans Ind Elect 66: 2946–2955. doi: 10.1109/TIE.2018.2850009
    [11] Ghahremani E, Kamwa I (2012) Optimal placement of multiple-type FACTS devices to maximize power system loadability using a generic graphical user interface. IEEE Trans Power Syst, 1–15.
    [12] Prodanovixc M, Green TC (2006) High-quality power generation through distributed control of a power park microgrid. IEEE Trans Ind Elect 53: 1471–1482. doi: 10.1109/TIE.2006.882019
    [13] He L, Li Y, Guerrero JM, et al. (2020) A comprehensive inertial control strategy for hybrid AC/DC microgrid with distributed generations. IEEE Trans Smart Grid 11: 1737–1747. doi: 10.1109/TSG.2019.2942736
    [14] Nejabatkhah F, Li YW, Tian H (2019) Power quality control of smart hybrid AC/DC microgrids: An overview. IEEE Access 7: 52295–52318. doi: 10.1109/ACCESS.2019.2912376
    [15] Shalukho AV, Lipuzhin IA, Voroshilov AA (2019) Power quality in microgrids with distributed generation. 2019 International ural conference on electrical power engineering (UralCon), 54–58.
    [16] Ovaskainen M, Rni J, Leinonen A (2019) Superposed control strategies of a BESS for power exchange and microgrid power quality improvement. IEEE International Conference on Environment and Electrical Engineering; IEEE Industrial and Commercial Power Systems Europe. Merus Power Dynamics Oy, Nokia, Finland.
    [17] Baimel D, Belikov J, Guerrero JM, et al. (2017) Dynamic modeling of networks, microgrids, and renewable sources in the dq0 reference frame: A survey. IEEE Access 5: 21323–21335. doi: 10.1109/ACCESS.2017.2758523
    [18] Srivatchana NS, Rangarajanb P, Rajalakshmib S (2015) Control scheme for power quality improvement in Islanded. Procedia Technol 21: 212–215. doi: 10.1016/j.protcy.2015.10.090
    [19] Dong T, Li L, Key ZM (2013) A combined system of APF and SVC for power quality improvement in microgrid. Power Engineering and Automation Conference (PEAM). Available from: https: //ieeexplore.ieee.org/document/6612554.
    [20] Priyavarthini S, Kathiresan AC, Nagamani C, et al. (2018) PV-fed DVR for simultaneous real power injection and sag/swell mitigation in a wind farm. IET Power Electron 11: 2385–2395. doi: 10.1049/iet-pel.2018.5123
    [21] Nikoobakht A, Aghaei J, Parvania M, et al. (2018) Contribution of FACTS devices in power systems security using MILP-based OPF. IET Gener, Transm Distrib 12: 3744–3755. doi: 10.1049/iet-gtd.2018.0376
    [22] Roldan-Pxerez J, Garcxıa-Cerrada A, Ochoa-Gimenez M, et al. (2019) Delayed-signal-ancellation-based sag detector for a dynamic voltage restorer in distorted grids. IEEE Trans Sus Energy 10: 2015–2027. doi: 10.1109/TSTE.2018.2877505
    [23] Wang J, Xing Y, Wu H, et al. (2019) A novel dual-DC-port dynamic voltage restorer with reduced-rating integrated DC–DC converter for wide-range voltage sag compensation. IEEE Trans Power Electron 34: 7437–7449. doi: 10.1109/TPEL.2018.2882534
    [24] Li P, Xie L, Han J, et al. (2018) A new voltage compensation philosophy for dynamic voltage restorer to mitigate voltage sags using three-phase voltage ellipse parameters. IEEE Trans Power Electron 33: 1154–1166. doi: 10.1109/TPEL.2017.2676681
    [25] Rawat MS, Vadhera S (2016) Comparison of FACTS devices for transient stability enhancement of multi machine power system. 2016 International Conference on Microelectronics, Computing and Communications. Available from: https://ieeexplore.ieee.org/document/7522419.
    [26] Ogunboyo PT, Tiako R, Davidson IE (2018) Effectiveness of dynamic voltage restorer for unbalance voltage mitigation and voltage profile improvement in secondary distribution system. Can J Elect Comput Eng 41: 105–114.
    [27] Maharashtra S (2013) Enhancement of voltage profile using dynamic voltage restorer. Int J Adv Res Elect, Elect Instrum Eng (IJAREEIE) 2: 5871–5876.
    [28] Ramasamy AK, Iyer RK, Chandaramuthy VK, et al. (2005) Dynamic voltage restorer for voltage sag compensation. IEEE PEDS, 1289–1294.
    [29] Hagha MT, Shakera A, Sohrabia F, et al. (2017) Fuzzy-based controller for DVR in the presence of DG. Procedia Comput Sci 120: 684–690. doi: 10.1016/j.procs.2017.11.296
    [30] Razak HNA, Said DM, Ahmad N (2018) Improved analysis of DVR performance for voltage sag mitigation. ELEKTRIKA-J Elect Eng 17: 36–40. doi: 10.11113/elektrika.v17n3.110
    [31] Rao SS, Krishna PSR, Babu S (2017) Mitigation of voltage sag, swell and THD using dynamic voltage restorer with photovoltaic system. International Conference on Algorithms, Methodology, Models and Applications in Emerging Technologies (ICAMMAET), 1–7.
    [32] Ma H, Du C (2015) Multi-objective coordinated design of TCSC and SVC for improving transient stability fifth. International Conference on Instrumentation and Measurement, Computer, Communication and Control, 246–250.
    [33] Zheng ZX, Xiao XY, Chen XY, et al. (2018) Performance evaluation of a MW-class SMES-BES DVR system for mitigation of voltage quality disturbances. IEEE Trans Ind Appl 54: 3090–3099. doi: 10.1109/TIA.2018.2823259
    [34] Remya VK, Parthiban P, Ansal V, et al. (2018) Dynamic voltage restorer (DVR)–A review. J Green Eng 8: 519–572. doi: 10.13052/jge1904-4720.844
    [35] Riddhi FB (2018) Study on compensation of voltage sag and voltage swell by using DVR (Dynamic Voltage Restorer). IEEE International Conference on Current Trends toward Converging Technologies, Coimbatore, 1–12.
    [36] Tiwari SP, Sharma PK (2017) Synchronous reference frame theory for active power filter. Int J Eng Sci Comput 7. Available from: https://www.researchgate.net/publication/335602113_synchronous_reference_frame_theory_for_active_power_filter.
    [37] EIAdany M, EIDesouky A, Sallam A (2018) Power system transient stability: An algorithm for assessment and enhancement based on catastrophe theory and FACTS devices. IEEE Access 6: 26424–26437. doi: 10.1109/ACCESS.2018.2834906
    [38] Dash SK, Ray PK (2018) Power quality improvement utilizing PV fed unified power quality conditioner based on UV-PI and PR-R controller. CPSS Trans Power Electron Appl 3: 243–253. doi: 10.24295/CPSSTPEA.2018.00024
    [39] Bhushan S, Rakhonde A, Bobade CM (2017) Harmonic mitigation using modified synchronous reference frame theory. IRJET 4: 2340–2345.
    [40] Zheng Z, Xia X, Huang C, et al. (2019) Enhancing transient voltage quality in a distribution power system with SMES-based DVR and SFCL. IEEE Trans Appl Supercond 29: 1–5.
    [41] Zhai H, Zhuo F, Zhu C, et al. (2020) An optimal compensation method of shunt active power filters for system-wide voltage quality improvement. IEEE Trans Power Electron 67: 1270–1281. doi: 10.1109/TED.2020.2967242
    [42] Karthikeyan A, Gururaj D, Krishna A, et al. (2010) Dual role CDSC-based dual vector control for effective operation of DVR with harmonic mitigation. IEEE Trans Power Electron 66: 4–13.
    [43] Singh B, Solanki J (2009) A comparison of control algorithms for dstatcom. IEEE Trans Power Electron 56: 2738–2745.
    [44] Choudante SD, Bhole AA (2018) A review: Voltage stability and power flow improvement by using UPFC controller. 2018 International conference on computation of power, energy, information and communication (ICCPEIC), 462–465.
    [45] Upadhyay P, Singh N, Yadav S (2018) Voltage quality compensation of DFIG with series DVR (SDVR) under three phase fault. International Conference on Electronics, Materials Engineering and Nano-Technology. Available from: https://ieeexplore.ieee.org/document/8465397.
    [46] Biricik S, Komurcugil H, Tuyen ND, et al. (2019) Protection of sensitive loads using sliding mode controlled three-phase DVR with adaptive notch filter. IEEE Trans Power Electron 66: 5465–5475.
    [47] Kamarposhti MA, Lesani H (2010) Comparison between parallels and series FACTS devices on static voltage stability using MLP index. International symposium on power electronics, electrical drives, automation and motion, 257–261.
    [48] Prakash Y, Sankar S (2014) Power quality improvement using DVR in power system. Power and energy systems: Towards sustainable energy (PESTSE), 1–6.
    [49] Zong S, Fan G, Yang X (2019) Double voltage rectification modulation for bidirectional DC/DC resonant converters for wide voltage range operation. IEEE Trans Power Electron 34: 6510–6521. doi: 10.1109/TPEL.2018.2875816
    [50] Zia MF, Benbouzid M, Elbouchikhi E, et al. (2020) Microgrid transactive energy: Review, architectures, distributed ledger technologies, and market analysis. IEEE Access 8: 19410–19432. doi: 10.1109/ACCESS.2020.2968402
    [51] Lu Y (2018) Adaptive-fuzzy control compensation design for direct adaptive fuzzy control. IEEE Trans Fuzzy Syst 26: 3222–3231. doi: 10.1109/TFUZZ.2018.2815552
    [52] Meng L, Guerrero JM (2017) Optimal power quality service in multi-bus microgrid systems. 2017 IEEE Power & Energy Society General Meeting. Available from: https://ieeexplore.ieee.org/document/8274169.
    [53] Zhong Q, Yao W, Lin L, et al. (2018) Data analysis and applications of the power quality monitoring. International Conference on Power System Technology (POWERCON), 6–8.
    [54] Omar AI, Shady HE, Aleem A, et al. (2019) An improved approach for robust control of dynamic voltage restorer and power quality enhancement using grasshopper optimization algorithm. ISA Trans 95: 110–129. doi: 10.1016/j.isatra.2019.05.001
    [55] Talwariya A, Singh P, Kolhe ML, et al. (2020) Fuzzy logic controller and game theory based distributed energy resources allocation. AIMS Energy 8: 474–492. doi: 10.3934/energy.2020.3.474
    [56] Poullikkas A, Papadouris S, Kourtis G, et al. (2014) Storage solutions for power quality problems in cyprus' electricity distribution network. AIMS Energy 2: 1–17. doi: 10.3934/energy.2014.1.1
    [57] Ahmed eldessouky and hossam gabbar (2016) SVC control enhancement applying self-learning fuzzy algorithm for islanded microgrid. AIMS Energy 4: 363–378. doi: 10.3934/energy.2016.2.363
    [58] Patnaik RK, Mishra SP, Patra JP (2015) Active and reactive power based feedback linearization control technique for grid-connected voltage source converter. Power Communication and Information Technology Conference (PCITC), 290–296.
  • Reader Comments
  • © 2021 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Metrics

Article views(3817) PDF downloads(551) Cited by(12)

Article outline

Figures and Tables

Figures(36)  /  Tables(3)

/

DownLoad:  Full-Size Img  PowerPoint
Return
Return

Catalog