Damping controller design based on FO-PID-EMA in VSC HVDC system to improve stability of hybrid power system

Abstract

Wind energy sources have different structures and functions from conventional power plants in the power system. These resources can affect the exchange of active and reactive power of the network. Therefore, power system stability will be affected by the performance of wind power plants, especially in the event of a fault. In this paper, the improvement of the dynamic stability in power system equipped by wind farm is examined through the supplementary controller design in the high voltage direct current (HVDC) based on voltage source converter(VSC) transmission system. In this regard, impacts of the VSC HVDC system and wind farm on the improvement of system stability are considered. Also, an algorithm based on controllability (observability) concept is proposed to select most appropriate and effective coupling between inputs-outputs (IO) signals of system in different work conditions. The selected coupling is used to apply damping controller signal. Finally, a fractional order PID controller (FO-PID) based on exchange market algorithm (EMA) is designed as damping controller. The analysis of the results shows that the wind farm does not directly contribute to the improvement of the dynamic stability of power system. However, it can increase the controllability of the oscillatory mode and improve the performance of the supplementary controller.

Keywords

hybrid power system / high voltage direct current based on voltage source converter (VSC HVDC) / fractional order PID (FO-PID) damping controller / exchange market algorithm

References

[1] Honrubia-EscribanoA, Gomez-LazaroE, FortmannJ, SøensenP, Martin-MartinezS. Generic dynamic wind turbine models for power system stability analysis: A comprehensive review [J]. Renewable and Sustainable Energy Reviews, 2018, 81: 1939-1952

[2] PrajapatG P, SenroyN, KarI N. Wind turbine structural modeling consideration for dynamic studies of DFIG based system [J]. IEEE Transactions on Sustainable Energy, 2017, 8(4): 1463-1472

[3] OuyangT, KusiakA, HeY. Modeling wind-turbine power curve: A data partitioning and mining approach [J]. Renewable Energy, 2017, 102: 1-8

[4] PourbeikP, Sanchez-GascaJ J, SenthilJ, WeberJ D, ZadehkhostP S, KazachkovY, TackeS, WenJ, EllisA. Generic dynamic models for modeling wind power plants and other renewable technologies in large-scale power system studies [J]. IEEE Transactions on Energy Conversion, 2017, 32(3): 1108-1116

[5] EvangelistaC A, PisanoA, PulestonP, UsaiE. Receding horizon adaptive second-order sliding mode control for doubly-fed induction generator based wind turbine [J]. IEEE Transactions on Control Systems Technology, 2017, 25(1): 73-84

[6] ToulabiM, BahramiS, RanjbarA M. An input-to-state stability approach to inertial frequency response analysis of doubly-fed induction generator-based wind turbines [J]. IEEE Transactions on Energy Conversion, 2017, 32(4): 1418-1431

[7] ZhangY, HuJ, ZhuJ. Three-vectors-based predictive direct power control of the doubly fed induction generator for wind energy applications [J]. IEEE Transactions on Power Electronics, 2014, 29(7): 3485-3500

[8] JustoJ J, MwasiluF, JungJ W. Doubly-fed induction generator based wind turbines: A comprehensive review of fault ride-through strategies [J]. Renewable and Sustainable Energy Reviews, 2015, 45: 447-467

[9] MoharanaA, VarmaR K, SeethapathyR. Supsr alleviation by STATCOM in induction-generator-based wind farm connected to series compensated line [J]. IEEE Transactions on Sustainable Energy, 2014, 5(3): 947-957

[10] NikkhahS, RabieeA. Optimal wind power generation investment, considering voltage stability of power systems [J]. Renewable Energy, 2018, 115: 308-325

[11] MaS, GengH, LiuL, YangG, PalB C. Grid-synchronization stability improvement of large scale wind farm during severe grid fault [J]. IEEE Transactions on Power Systems, 2018, 33(1): 216-226

[12] XuY, YinM, DongZ Y, ZhangR, HillD J, ZhangY. Robust dispatch of high wind power-penetrated power systems against transient instability [J]. IEEE Transactions on Power Systems, 2018, 33(1): 174-186

[13] AttyaA B, Dominguez-GarciaJ L, Anaya-LaraO. A review on frequency support provision by wind power plants: Current and future challenges [J]. Renewable and Sustainable Energy Reviews, 2018, 81: 2071-2087

[14] LiY, HeL, LiuF, TanY, CaoY, LuoL, ShahidehpourM. A dynamic coordinated control strategy of WTG-ES combined system for short-term frequency support [J]. Renewable Energy, 2018, 119: 1-1

[15] BanaeiM R, TaheriN. An adaptive neural damping controller for HVDC transmission systems [J]. European Transactions on Electrical Power, 2011, 21(1): 910-923

[16] GandomanF H, AhmadiA, SharafA M, SianoP, PouJ, HredzakB, AgelidisV G. Review of FACTS ^technologies and applications for power quality in smart grids with renewable energy systems [J]. Renewable and Sustainable Energy Reviews, 2018, 82: 502-514

[17] HamidiA, BeizaJ, BabaeiE, KhanmohammadiS. Adaptive controller design based on input-output signal selection for voltage source converter high voltage direct current systems to improve power system stability [J]. Journal of Central South University, 2016, 23(9): 2254-2267

[18] TaheriN, BanaeiM R. A supplementary neural controller for novel modeling of VSC HVDC to enhance dynamic stability in a power system [C]// 2010 1st Power Electronic & Drive Systems & Technologies Conference (PEDSTC). IEEE, 2010, 17: 7-12

[19] GuoY, GaoH, WuQ, ZhaoH, ØstergaardJ, ShahidehpourM. Enhanced voltage control of VSC-HVDC-connected offshore wind farms based on model predictive control [J]. IEEE Transactions on Sustainable Energy, 2018, 9(1): 474-487

[20] GuoC, LiuW, ZhaoC, NiX. Small-signal dynamics and control parameters optimization of hybrid multi-infeed HVDC system [J]. International Journal of Electrical Power & Energy Systems, 2018, 98: 409-418

[21] PRABHA K, BALU N J, LAUBY M G. Power system stability and control [M]. Vol. 7. New York: McGraw-Hill, 1994.

[22] ShenY, YaoW, WenJ, HeH, ChenW. Adaptive supplementary damping control of VSC-HVDC for interarea oscillation using GrHDP [J]. IEEE Transactions on Power Systems, 2018, 33(2): 1777-1789

[23] LiY, TangG, AnT, PangH, WangP, YangJ, WuY, HeZ. Power compensation control for interconnection of weak power systems by VSC-HVDC [J]. IEEE Transactions on Power Delivery, 2017, 32(4): 1964-1974

[24] KotbO, GhandhariM, ErikssonR, LeelarujiR, SoodV K. Stability enhancement of an interconnected AC/DC power system through VSC-MTDC operating point adjustment [J]. Electric Power Systems Research, 2017, 151: 308-318

[25] TirtashiM R, SamuelssonO, SvenssonJ. Impedance matching for VSC–HVDC and energy storage damping controllers [J]. IEEE Transactions on Power Delivery, 2018, 33(2): 1016-1017

[26] GhorbaniN, BabaeiE. Exchange market algorithm [J]. Applied Soft Computing, 2014, 19: 177-187

[27] GhorbaniN, BabaeiE. Exchange market algorithm for economic load dispatch [J]. International Journal of Electrical Power & Energy Systems, 2016, 75: 19-27