{"title":"Particle Swarm Optimization Based Interconnected Hydro-Thermal AGC System Considering GRC and TCPS","authors":"Banaja Mohanty, Prakash Kumar Hota","volume":91,"journal":"International Journal of Electrical and Computer Engineering","pagesStart":1195,"pagesEnd":1202,"ISSN":"1307-6892","URL":"https:\/\/publications.waset.org\/pdf\/10000006","abstract":"
This paper represents performance of particle swarm
\r\noptimisation (PSO) algorithm based integral (I) controller and
\r\nproportional-integral controller (PI) for interconnected hydro-thermal
\r\nautomatic generation control (AGC) with generation rate constraint
\r\n(GRC) and Thyristor controlled phase shifter (TCPS) in series with
\r\ntie line. The control strategy of TCPS provides active control of
\r\nsystem frequency. Conventional objective function integral square
\r\nerror (ISE) and another objective function considering square of
\r\nderivative of change in frequencies of both areas and change in tie
\r\nline power are considered. The aim of designing the objective
\r\nfunction is to suppress oscillation in frequency deviations and change
\r\nin tie line power oscillation. The controller parameters are searched
\r\nby PSO algorithm by minimising the objective functions. The
\r\ndynamic performance of the controllers I and PI, for both the
\r\nobjective functions, are compared with conventionally optimized I
\r\ncontroller.<\/p>\r\n","references":"[1] Elgerd, O. I.\u2500 Fosha, C.: Optimum megawatt frequency control of multiarea\r\nelectric energy systems, IEEE Trans. Power App. System. 89 No. 4\r\n(1970), 556-563.\r\n[2] Cohn, N. : Techniques for improving the control of bulk power transfers\r\non interconnected systems, IEEE Trans. Power App. System, 90 No. 6\r\n(1971), 2409\u20132419.\r\n[3] Karnavas, Y. L. \u2500 Papadopoulos, D. P. : AGC for autonomous power\r\nsystem using combined intelligent techniques, Inter. Journal Electric\r\nPower System Research, 62 (2002), 225\u2013239.\r\n[4] Reformat, M. \u2500 Kuffel, E. \u2500 Woodford, D. \u2500 Pedrycz, W. : Application\r\nof genetic algorithms for control design in power systems, IEE Proc.,\r\nGen. Trans. Distr., 145 No. 4 (1998), 345\u2013354.\r\n[5] Hiyama, T.: Design of decentralized load frequency regulators for\r\ninterconnected power systems, IEE Proc., Gen. Trans. Distr., 129 No.1\r\n(1982), 17\u201322.\r\n[6] Moon, Y. H. \u2500 Ryu, H. S. \u2500 Lee, J. G. \u2500Song, K. B. \u2500 Shin, M. C. :\r\nExtended integral control for load frequency control with the\r\nconsideration of generation rate constraints, Inter. Journal Electric\r\nPower Energy System, 24 ( 2002), 263\u2013269.\r\n[7] Malik, O. P \u2500 Hope. G. S \u2500Tripathy, S. C \u2500 Mital N: Decentralized\r\nSuboptimal Load-Frequency Control of a Hydro-Thermal Power System\r\nUsing the State Variable Model, Electric Power Systems Research, 8\r\n(1984\/1985), 237-247.\r\n[8] Ray, G \u2500 Prasad, A. N \u2500 Prasad, G. D: A New Approach to the Design\r\nof Robust Load-Frequency Controller for Large Scale Power Systems,\r\nElectric Power Systems Research 51 (1999), 13-22.\r\n[9] Pan C. T\u2500 Liaw C. M : An Adaptive Controller for Power Load-\r\nFrequency Control, IEEE Trans. Power Systems, 4 No. 1 (1989), 122-\r\n128.\r\n[10] Kothari, M. L. \u2500 Nanda, J \u2500 Kothari, D. P \u2500DAS, D : Discrete-mode\r\nautomatic generation control of a two-area reheat thermal system with\r\nnew area control error, IEEE Trans. Power Systems, 4 No. 2 ( 1989),\r\n730\u2013738.\r\n[11] Parmar, K. P. S \u2500 Majhi, S \u2500 Kothari, D.P : Load frequency control of a\r\nrealistic power system with multi-source power generation, Electrical\r\nPower and Energy Systems 42 (2012), 426\u2013433.\r\n[12] Zeynelgi, H. L. \u2500Demiroren, A. \u2500 Sengor, N.S: The application of\r\nANN technique to automatic generation control for multi-area power\r\nsystem, Electric Power Energy System, 24 No.5 (2002), 345\u2013354.\r\n[13] Chaturvedi, D.K. \u2500 Satsangi, P.S. \u2500Kalra, P. K : Load frequency\r\ncontrol: a generalized neural network approach, Electric Power Energy\r\nSystem, 121 No. 6 (1999), 405\u2013415.\r\n[14] Ghosal, S. P.: Optimization of PID gains by particle swarm optimization\r\nin fuzzy based automatic generation control, Electric Power System\r\nResearch, 72 No. 3 (2004) , 203\u2013212.\r\n[15] Talaq J,.A L. \u2500Basri, F. : Adaptive fuzzy gain scheduling for load\r\nfrequency control, IEEE Trans. Power System, 14 No. 1 (1999), 145\u2013\r\n150.\r\n[16] Joseph, R. A. \u2500Das, D. \u2500 Patra, A.: AGC of a Hydrothermal System\r\nwith Thyristor Controlled Phase Shifter in the Tie-Line, IEEE conf.\r\n2006.\r\n[17] I. W. G. on Power Plant Response to Load Changes : Mw response of\r\nfossil fuelled steam units, IEEE Trans. on Power App. and Systems, 92\r\nNo. 2 (Mar\/Apr 1973), 455\u2013463\r\n[18] I. P. W. Group. : Hydraulic turbine and turbine control models for\r\nsystem dynamics, IEEE Trans. on Power Systems, 7 No. 1 (Feb 1992),\r\n167\u2013174.\r\n[19] Pedersen, M.E.H. ---- Chipperfield, A.J.: Simplifying Particle Swarm\r\nOptimization. Applied Soft Computing, Vol. 10, No. 2. (2010), pp.618-\r\n628.\r\n[20] Fan, H.: A modification to particle swarm optimization algorithm,\r\nEngineering Computations. International Journal for Computer-Aided\r\nEngineering 19 (2002) pp.970\u2013989.","publisher":"World Academy of Science, Engineering and Technology","index":"Open Science Index 91, 2014"}