Abstract
This paper deals with the maiden application of opposition-based interactive search algorithm (OISA) for a multi-area, multi-source power system having thermal, hydro and gas generating units. For realistic approach, physical constraints like boiler dynamics (BD), governor dead band (GDB) and generation rate constraint (GRC) have been considered in the thermal system, while the effects of GRC and GDB are included in hydro and gas systems. Since modern power systems are focussing more towards renewable energy resources, for the purpose of analysis distributed generation (DG) and electric vehicle (EV) units are also incorporated in the system. A novel cascade combination of two-degree-of-freedom proportional–integral–derivative with a filter (PIDN) and fractional order integral–derivative (FOID) is used as the proposed controller for the system (2DOF-PIDN-FOID). The parameters of the proposed controller are optimised using the OISA algorithm. For analysis of the proposed system in deregulated environment, a step load perturbance (SLP) of 0.01 per unit is done in area-1. The effect of integration of distributed generation (DG) and electric vehicle (EV) on the system is analysed in both combined manner and separately. In both the cases, the system dynamics show marked improvement in comparison with previous cases. Analysis of system dynamics for various cases reveals the superiority of the proposed control scheme. Further, the superiority of the proposed algorithm is proven among other well-known evolutionary techniques like genetic algorithm (GA), particle swarm optimisation (PSO), interactive search algorithm (ISA) and whale optimisation algorithm (WOA) by comparison under same test conditions. Moreover, the robustness of the system is validated against system parameter variations. Finally, the superiority of the proposed control scheme is shown by comparison with published results in the literature under same test conditions.
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References
Arya Y (2018) Automatic generation control of two-area electrical power systems via optimal fuzzy classical controller. J Franklin Inst 355(5):2662–2688. https://doi.org/10.1016/j.jfranklin.2018.02.004
Baghya Shree S, Kamaraj N (2016) Hybrid Neuro Fuzzy approach for automatic generation control in restructured power system. Int J Electr Power Energy Syst 74:274–285. https://doi.org/10.1016/j.ijepes.2015.05.029
Dash P, Saikia LC, Sinha N (2016) Flower pollination algorithm optimized PI-PD cascade controller in automatic generation control of a multi-area power system. Int J Electr Power Energy Syst 82:19–28. https://doi.org/10.1016/j.ijepes.2016.02.028
Guha D, Roy PK, Banerjee S (2017) Study of differential search algorithm based automatic generation control of an interconnected thermal-thermal system with governor dead-band. Appl Soft Comput J 52:160–175. https://doi.org/10.1016/j.asoc.2016.12.012
Hasanien HM (2018) Whale optimisation algorithm for automatic generation control of interconnected modern power systems including renewable energy sources. IET Gener Transm Distrib 12(3):607–614. https://doi.org/10.1049/iet-gtd.2017.1005
Hasanien HM, El-Fergany AA (2017) Symbiotic organisms search algorithm for automatic generation control of interconnected power systems including wind farms. IET Gener Transm Distrib 11(7):1692–1700. https://doi.org/10.1049/iet-gtd.2016.1245
He J, Li YW, Munir MS (2012a) A flexible harmonic control approach through voltage-controlled DG-grid interfacing converters. IEEE Trans Industr Electron 59(1):444–455. https://doi.org/10.1109/TIE.2011.2141098
He Y, Venkatesh B, Guan L (2012b) Optimal scheduling for charging and discharging of electric vehicles. IEEE Trans Smart Grid 3(3):1095–1105. https://doi.org/10.1109/TSG.2011.2173507
Hota PK, Mohanty B (2016) Automatic generation control of multi source power generation under deregulated environment. Int J Electr Power Energy Syst 75:205–214. https://doi.org/10.1016/j.ijepes.2015.09.003
Jain SK, Chakrabarti S, Singh SN (2013) Review of load frequency control methods, Part-I: introduction and pre-deregulation scenario. In: CARE 2013—2013 IEEE international conference on control, automation, robotics and embedded systems, proceedings. https://doi.org/10.1109/CARE.2013.6733736
Johnson E, Beppler R, Blackburn C, Staver B, Brown M, Matisoff D (2017) Peak shifting and cross-class subsidization: the impacts of solar PV on changes in electricity costs. Energy Policy 106(April):436–444. https://doi.org/10.1016/j.enpol.2017.03.034
Madasu SD, Kumar MLSS, Singh AK (2017) Comparable investigation of backtracking search algorithm in automatic generation control for two area reheat interconnected thermal power system. Appl Soft Comput J 55:197–210. https://doi.org/10.1016/j.asoc.2017.01.018
Mc Namara P, Meere R, O’Donnell T, McLoone S (2016) Control strategies for automatic generation control over MTDC grids. Control Eng Pract 54(July 2014):129–139. https://doi.org/10.1016/j.conengprac.2016.05.016
Mohanty B, Hota PK (2017) A hybrid chemical reaction-particle swarm optimisation technique for automatic generation control. J Electr Syst Inf Technol. https://doi.org/10.1016/j.jesit.2017.04.001
Morsali J, Zare K, Tarafdar Hagh M (2017) Applying fractional order PID to design TCSC-based damping controller in coordination with automatic generation control of interconnected multi-source power system. Eng Sci Technol Int J 20(1):1–17. https://doi.org/10.1016/j.jestch.2016.06.002
Mortazavi A, Toğan V, Nuhoğlu A, Xi L, Zhang Z, Yang B et al (2017) Maiden application of an sine–cosine algorithm optimised FO cascade controller in automatic generation control of multi-area thermal system incorporating dish-Stirling solar and geothermal power plants. Int J Electr Power Energy Syst 20(5):1–17. https://doi.org/10.1049/iet-gtd.2016.1245
Mortazavi A, Toğan V, Nuhoğlu A (2018) Interactive search algorithm: a new hybrid metaheuristic optimization algorithm. Eng Appl Artif Intell 71(October 2017):275–292. https://doi.org/10.1016/j.engappai.2018.03.003
Nandi M, Shiva CK, Mukherjee V (2017) TCSC based automatic generation control of deregulated power system using quasi-oppositional harmony search algorithm. Eng Sci Technol Int J 20(4):1380–1395. https://doi.org/10.1016/j.jestch.2016.08.021
Padhy S, Panda S (2017) A hybrid stochastic fractal search and pattern search technique based cascade PI-PD controller for automatic generation control of multi-source power systems in presence of plug in electric vehicles. CAAI Trans Intell Technol (vol. 2). Elsevier B.V. https://doi.org/10.1016/j.trit.2017.01.002
Pappachen A, Fathima AP (2019) Impact of SMES—TCSC combination in a multi-area deregulated power system with GA—based PI controller. J Control Automa Electr Syst (0123456789). https://doi.org/10.1007/s40313-019-00492-9
Parmar KPS, Majhi S, Kothari DP (2014) LFC of an interconnected power system with multi-source power generation in deregulated power environment. Int J Electr Power Energy Syst 57:277–286. https://doi.org/10.1016/j.ijepes.2013.11.058
Prakash A, Murali S, Shankar R, Bhushan R (2019) HVDC tie-link modeling for restructured AGC using a novel fractional order cascade controller. Electr Power Syst Res 170(September 2018):244–258. https://doi.org/10.1016/j.epsr.2019.01.021
Rahman A, Saikia LS, Sinha N (2016) Automatic generation control of an unequal four-area thermal system using biogeographybased optimised 3DOF-PID controller. IET Gener Transm Distrib 10(16):1–31. https://doi.org/10.1049/iet-gtd.2016.0528
Rahman A, Saikia LC, Sinha N (2017) Automatic generation control of an interconnected two-area hybrid thermal system considering dish-stirling solar thermal and wind turbine system. Renew Energy 105:41–54. https://doi.org/10.1016/j.renene.2016.12.048
Raju M, Saikia LC, Sinha N (2016) Automatic generation control of a multi-area system using ant lion optimizer algorithm based PID plus second order derivative controller. Int J Electr Power Energy Syst 80:52–63. https://doi.org/10.1016/j.ijepes.2016.01.037
Saha D, Saikia LC (2017) Automatic generation control of a multi-area CCGT-thermal power system using stochastic search optimised integral minus proportional derivative controller under restructured environment. IET Gener Transm Distrib 11(15):3801–3813. https://doi.org/10.1049/iet-gtd.2016.1737
Saha A, Saikia LC (2018) Performance analysis of combination of ultra-capacitor and superconducting magnetic energy storage in a thermal-gas AGC system with utilization of whale optimization algorithm optimized cascade controller. J Renew Sustain Energy. https://doi.org/10.1063/1.5003958
Sahu RK, Panda S, Rout UK, Sahoo DK (2016) Teaching learning based optimization algorithm for automatic generation control of power system using 2-DOF PID controller. Int J Electr Power Energy Syst 77:287–301. https://doi.org/10.1016/j.ijepes.2015.11.082
Seif Z, Ahmadi MB (2015) Engineering applications of artificial intelligence an opposition-based algorithm for function optimization. Eng Appl Artif Intell 37:293–306. https://doi.org/10.1016/j.engappai.2014.09.009
Shankar R, Bhushan R, Chatterjee K (2016a) Small-signal stability analysis for two-area interconnected power system with load frequency controller in coordination with FACTS and energy storage device. Ain Shams Eng J 7(2):527–541. https://doi.org/10.1016/j.asej.2015.06.009
Shankar R, Chatterjee K, Bhushan R (2016b) Impact of energy storage system on load frequency control for diverse sources of interconnected power system in deregulated power environment. Int J Electr Power Energy Syst 79:11–26. https://doi.org/10.1016/j.ijepes.2015.12.029
Shankar R, Kumar A, Raj U, Chatterjee K (2018) Fruit fly algorithm-based automatic generation control of multiarea interconnected power system with FACTS and AC/DC links in deregulated power environment. Int Trans Electr Energy Syst. https://doi.org/10.1002/etep.2690
Tasnin W, Saikia LC (2018) Comparative performance of different energy storage devices in AGC of multi-source system including geothermal power plant. J Renew Sustain Energy. https://doi.org/10.1063/1.5016596
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Appendix
Appendix
Thermal power plant: Kr = 0.3, Tr = 10 s, Tt = 0.3 s, Rth = 2.4 Hz/pu, Tg = 0.08 s, GRC = 0.0017pu/MW/s; Hydro power plant: Tw = 1.0 s, TR (Speed governor rest time) = 5.0 s, TRH = 28.75 s, TGH = 0.2 s, Rhy = 2.4 Hz/pu; Gas power plant: X = 0.6 s, Y = 1.0 s, b = 0.05 s, c = 1, TF = 0.23 s, TCR = 0.01 s,TCD = 0.2 s, RG = 2.4 Hz/pu MW, Rth = 2.4 Hz/pu; Power system: Kps = 120 Hz/pu, Tps = 20 s; WTS: KWTS = 1 and TWTS = 1.5 s; PV: KPV = 1 and TPV = 1.8 s; DEG: KDEG = 1/300 and TDEG = 2 s EV: KEV = 1 and TEV = 1.
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Raj, U., Shankar, R. Deregulated Automatic Generation Control using Novel Opposition-based Interactive Search Algorithm Cascade Controller Including Distributed Generation and Electric Vehicle. Iran J Sci Technol Trans Electr Eng 44, 1233–1251 (2020). https://doi.org/10.1007/s40998-019-00306-3
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DOI: https://doi.org/10.1007/s40998-019-00306-3