Abstract
Hybrid renewable energy-based generation can improve the reliability in power supply. While avoiding the big cost in energy storage/battery, it is apparent that, such hybrid plants could be interlinked with the conventional power system for ensuring continuous power supply in the local area and better utilization of renewable energy sources. As generation from the renewable energy sources are intermittent, the interaction of such hybrid plants with the traditional power network can abruptly disturb the power/frequency level. Thus, devising a robust power–frequency control (PFC) scheme for the contemporary hybrid renewable interlinked power systems is highly obligatory. In this context, this paper presents a fractional-order-proportional-integral-derivative (FOPID) controller based advanced PFC scheme. Bacterial-foraging optimization (BFO) technique is adopted for computing the design parameters, namely, the controller gains and set-point weights. A typical hybrid wind- photovoltaic (PV) Plant interlinked thermal power system is modelled and simulated in order to investigate the system dynamics. Effectiveness of the proposed PFC scheme corroborated with the renewable power variations as well as load perturbation is confirmed and the results are presented.
Similar content being viewed by others
References
Phap VM, Yamamura N, Ishida M, Nga NT, Mizoguchi I, Yamashita T (2019) Study on novel topology of solar–wind hybrid power plant using photovoltaic cell emulating system. J Electr Eng Technol 14(2):627–634
Nehrir MH, Wang C, Strunz K, Aki H, Ramakumar R, Bing J, Miao Z, Salameh Z (2011) A review of hybrid renewable/alternative energy systems for electric power generation: Configurations, control, and applications. IEEE Trans Sustain Energy 2(4):392–403
Lee DJ, Wang L (2008) Small-signal stability analysis of an autonomous hybrid renewable energy power generation/energy storage system part I: time-domain simulations. IEEE Trans Energy Convers 23(1):311–320
Hemmati R, Mehrjerdi H, Bornapour M (2020) Hybrid hydrogen-battery storage to smooth solar energy volatility and energy arbitrage considering uncertain electrical-thermal loads. Renewable Energy 154:1180–1187
Xia S, Bu S, Wan C, Lu X, Chan KW, Zhou B (2019) A fully distributed hierarchical control framework for coordinated operation of DERs in active distribution power networks. IEEE Trans Power Syst 34(6):5184–5197
Xu Y, Wang Z, Fang Z, Xun S, Hu G, Shen Y, Xiao H, Wu D (2019) Self-adaptive power flow optimization method for multi-terminal SNOP considering the difference of risk of node voltage beyond limit. J Electr Eng Technol 14(5):1963–1971
Gaur P, Soren N, Bhowmik D (2020) Load frequency control of hybrid power system incorporating vehicle-to-grid technology considering AC transmission links. J Electr Eng Technol 15(1):381–391
Bhavanisankar C, Sudha KR (2019) An adaptive technique to control the load frequency of hybrid distributed generation systems. Soft Comput 23(23):12385–12400
Elgerd OI (1983) Electric energy systems theory. TataMcGraw-Hill, New York
Sahu RK, Panda S, Pradhan PC (2015) Design and analysis of hybrid firefly algorithm-pattern search based fuzzy PID controller for LFC of multi area power systems. Int J Electr Power Energy Syst 69:200–212
Debbarma S, Saikia LC, Sinha N (2014) Solution to automatic generation control problem using firefly algorithm optimized IλDµ controller. ISA Trans 53(2):358–366
Abazari A, Monsef H, Wu B (2019) Coordination strategies of distributed energy resources including FESS, DEG, FC and WTG in load frequency control (LFC) scheme of hybrid isolated micro-grid. Int J Electr Power Energy Syst 109:535–547
Magdy G, Shabib G, Elbaset AA, Kerdphol T, Qudaih Y, Bevrani H, Mitani Y (2019) Tustin’s technique based digital decentralized load frequency control in a realistic multi power system considering wind farms and communications delays. Ain Shams Eng J 10:327–341
Wang X, Wang Y, Liu Y (2020) Dynamic load frequency control for high-penetration wind power considering wind turbine fatigue load. Int J Electr Power Energy Syst 117:1056–1096
Prasad S, Purwar S, Kishor N (2019) Non-linear sliding mode control for frequency regulation with variable-speed wind turbine systems. Int J Electr Power Energy Syst 107:19–33
Yin L, Yu T, Yang B, Zhang X (2019) Adaptive deep dynamic programming for integrated frequency control of multi-area multi-micro grid systems. Neurocomput 344:49–60
Yousef HA, Khalfan AK, Albadi MH, Hosseinzadeh N (2014) Load frequency control of a multi-area power system: An adaptive fuzzy logic approach. IEEE Trans Power Syst 29(4):1822–1830
Ahmed F, Kassem M (2019) Antlion optimizer-ANFIS load frequency control for multi-interconnected plants comprising photovoltaic and wind turbine. ISA Trans 87:282–296
Podlubny I (1999) Fractional differential equations. Academic Press, San Diego, CA
Rajinikanth V, Latha K (2012) I-PD Controller tuning for unstable system using bacterial foraging algorithm: A study based on various error criterion. Int. Soft Comput, Applied Comp. https://doi.org/10.1155/2012/329389
Saha A, Saikia LC (2017) Utilisation of ultra-capacitor in load frequency control under restructured STPP-thermal power systems using WOA optimised PIDN-FOPD controller. IET Gener Transm Distrib 11(13):3318–3331
Mahto T, Mukherjee V (2015) Frequency stabilisation of a hybrid two- area power system by a novel quasi-op positional harmony search algorithm. IET Gener Transm Distrib 9(15):2167–2179
Datta A, Bhattacharya G, Mukherjee D, Saha H (2016) Modelling and simulation-based performance study of a transformerless single-stage grid-connected photovoltaic system in Indian ambient conditions. Int J Ambient Energy 37(2):172–183
Han Y, Li Z, Guerrero JM (2015) Dynamic evaluation of LCL-type grid-connected inverters with different current feedback control schemes. In 2015 9th IEEE International Conference on Power Electronics and ECCE Asia (ICPE-ECCE Asia) (pp. 391–396)
Alam MK, Khan FH (2013) Transfer function mapping for a grid connected PV system using reverse synthesis technique. In 2013 IEEE 14th Workshop on Control and Modeling for Power Electronics (COMPEL):1–15
Liu J, Yao Q, Hau Y (2019) Model predictive control for load frequency of hybrid power system with wind power and thermal power. Energy 172:555–565
Bernard MZ, Mohamed TH, Qudaih YS, Mitani Y (2014) Decentralized load frequency control in an interconnected power system using Coefficient Diagram Method. Int J Electr Power Energy Syst 63:165–172
Dhillon SS, Lather JS, Marwaha S (2016) Multi objective load frequency control using hybrid bacterial foraging and particle swarm optimized PI controller. Electr Power Energy Syst 79:196–209
Author information
Authors and Affiliations
Corresponding author
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Appendix
Appendix
The nominal system parameters:
f = 60 Hz, H1 = H3 = 5 s, D1 = D2 = 0.00833 pu MW/Hz, Kp1 = Kp2 = 120 Hz/pu MW, Tp1 = Tp2 = 20 s, B1 = B2 = 0.425 pu MW/Hz, R1 = R2 = 2.4 Hz/pu MW, T12 = 0.545 pu MW, Kw = 0.8, Tw = 5 s, Kw1 = 1.28, Tw1 = 1 s, Kw2 = 12.5, Tw2 = 0.03 s, Kw3 = 1.5, Tw3 = 1.2 s, Kbc = 0.08, T = 1 s, M1 = 0.3, M2 = 1, Ti = 1.5 s, R = 10 Ω, L = 210 mH, C = 0.476 μF, Tg = 0.08 s, Tt = 0.3 s, Kr = 0.5, Tr = 10 s, GPFw = 0.8, GPFPV = 0.2.
Rights and permissions
About this article
Cite this article
Datta, A., Koley, I., Panda, G.K. et al. Dynamic Power–Frequency Control in a Hybrid Wind-PV Plant Interlinked with AC Power System. J. Electr. Eng. Technol. 16, 1469–1479 (2021). https://doi.org/10.1007/s42835-021-00691-y
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s42835-021-00691-y