Design of hybrid damping controller based on multi-target gravitational search optimization algorithm in a multi-machine power system with high penetration of PV park

Abstract

A mathematical approach was proposed to investigate the impact of high penetration of large-scale photovoltaic park (LPP) on small-signal stability of a power network and design of hybrid controller for these units. A systematic procedure was performed to obtain the complete model of a multi-machine power network including LPP. For damping of oscillations focusing on inter-area oscillatory modes, a hybrid controller for LPP was proposed. The performance of the suggested controller was tested using a 16-machine 5-area network. The results indicate that the proposed hybrid controller for LPP provides sufficient damping to the low-frequency modes of power system for a wide range of operating conditions. The method presented in this work effectively indentifies the impact of increased PV penetration and its controller on dynamic performance of multi-machine power network containing LPP. Simulation results demonstrate that the model presented can be used in designing of essential controllers for LPP.

Keywords

hybrid controller / multi-objective optimization / large-scale photovoltaic park / small-signal scrutiny

References

[1] ChenH, PangC. Organizational forms for knowledge management in photovoltaic solar energy industry [J]. Knowledge-Based Systems, 2010, 23(8): 924-933

[2] TamimiB, CanizaresC, BhattacharyaK. System stability impact of large-scale and distributed solar photovoltaic generation: The case of Ontario, Canada [J]. IEEE Transactions on Sustainable Energy, 2013, 4(3): 680-688

[3] AhadiA, GhadimiN, MirabbasiD. Reliability assessment for components of large scale photovoltaic systems [J]. Journal of Power Sources, 2014, 264: 211-219

[4] HossainM, SahaT, MithulananthanN, PotaH. Robust control strategy for PV system integration in distribution systems [J]. Applied Energy, 2012, 99: 355-362

[5] EftekharnejadS, VittalV, HeydtG T, KeelB, LoehrJ. Small signal stability assessment of power systems with increased penetration of photovoltaic generation: A case study [J]. IEEE Transactions on Sustainable Energy, 2013, 4(4): 960-967

[6] ShahR, MithulananthanN, LeeK. Large-scale PV plant with a robust controller considering power oscillation damping [J]. IEEE Transactions on Energy Conversion, 2013, 28(1): 106-116

[7] MahmoudM, Azher HussainS, AbidoM. Modeling and control of microgrid: An overview [J]. Journal of the Franklin Institute, 2014, 351(5): 2822-2859

[8] YangB, SunY. A new wide area damping controller design method considering signal transmission delay to damp interarea oscillations in power system [J]. Journal of Central South University, 2014, 21: 4193-4198

[9] ShahR, MithulananthanN, LeeK, BansalR. Wide-area measurement signal-based stabiliser for large-scale photovoltaic plants with high variability and uncertainty [J]. IET Renewable Power Generation, 2013, 7(6): 614-622

[10] ShahR, MithulananthanN, BansalR. Damping performance analysis of battery energy storage system, ultracapacitor and shunt capacitor with large-scale photovoltaic plants [J]. Applied Energy, 2012, 96: 235-244

[11] ZarghamiM, CrowM, JagannathanS. Nonlinear control of FACTS controllers for damping interarea oscillations in power systems [J]. IEEE Transactions on Power Delivery, 2010, 25(4): 3113-3121

[12] VillalvaM, GazoliJ. Comprehensive approach to modeling and simulation of photovoltaic arrays [J]. IEEE Transactions on Power Electronics, 2009, 24(5): 1198-1208

[13] LorenteD, PedrazziS, ZiniG, RosaD, TartariniP. Mismatch losses in PV power plants [J]. Solar Energy, 2014, 100: 42-49

[14] YangB, SunY. A novel stabilization approach for small signal disturbance of power system with time-varying delay [J]. Journal of Central South University, 2013, 20: 3522-3527

[15] RogersGPower system oscillations [M], 2000Boston, USAKluwer Academic Publishers

[16] KamwaI, GrondinR, TrudelG. IEEE PSS2B versus PSS4B: The limits of performance of modern power system stabilizers [J]. IEEE Transactions on Power Systems, 2005, 20(2): 903-915

[17] SodaService. Solar energy services for professionals[EB/OL]. http://www.soda-pro.com

[18] DehghaniM, ShayanfardB, KhayatianA. PMU ranking based on singular value decomposition ofdynamic stability matrix [J]. IEEE Transactions on Power Systems, 2013, 28(2): 2263-2270

[19] YaoW, JiangL, WenJ, WuQ, ChengS. Wide-area damping controller of FACTS devices for inter-area oscillations considering communication time delays [J]. IEEE Transactions on Power Systems, 2014, 29(1): 318-329

[20] NarimaniM, VahedA, AzizipanahR, JavidsharifiM. Enhanced gravitational search algorithm for multi-objective distribution feeder reconfiguration considering reliability, loss and operational cost [J]. IET Generation, Transmission & Distribution, 2014, 8(1): 55-69

[21] ZhangW, NiuP, LiG, LiP. Forecasting of turbine heat rate with online least squares support vector machine based on gravitational search algorithm [J]. Knowledge-Based Systems, 2013, 39: 34-44

[22] PrecupR, DavidR, PetriuE, RadacM, PreitlS, FodorJ. Evolutionary optimization-based tuning of low-cost fuzzy controllers for servo systems [J]. Knowledge-Based Systems, 2013, 38: 74-84

[23] AliA, MehdiA. A multi-objective gravitational search algorithm based approach of power system stability enhancement with UPFC [J]. Journal of Central South University, 2013, 20(6): 1536-1544

[24] YeF, LiY. An extended TOPSIS model based on the Possibility theory under fuzzy environment [J]. Knowledge-Based Systems, 2014, 67: 263-269

[25] ShayeghiH, SafariA, ShayanfarH. PSS and TCSC damping controller coordinated design using PSO in multi-machine power system [J]. Energy Conversion and Management, 2010, 51(12): 2930-2937

[26] ShayeghiH, ShayanfarH, JalilzadehS, SafariA. Multi-machine power system stabilizers design using chaotic optimization algorithm [J]. Energy Conversion and Management, 2010, 51(7): 1572-1580