Abstract
Generations from several sources in an electrical network are to be optimally scheduled for economical and efficient operation of the network. Optimal Power Flow (OPF) basically performs an intelligent power flow and optimizes the system operation condition by optimal determination of control variables. The objective of this paper is minimize the total fuel cost of the traditional generators plus the expected cost of an uncertainty cost function for renewable generators while satisfying all operational constraints. The model considers reserve cost for overestimation and penalty cost for underestimation of intermittent renewable sources. In this paper Weibull, Lognormal and Gumbel distributions are used for the wind speed, solar irradiance and river flow respectively. For achieving optimal solution efficiently, it requires a robust and effective solution technique. In this paper, results of the Cuckoo search algorithm (CSA) and Flower pollination algorithm (FPA) are compared to dealing with such type of optimal active–reactive power dispatch problems on IEEE-57 bus system.
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References
J. Meng, G. Li, Y. Du, Economic dispatch for power systems with wind and solar energy integration considering reserve risk, in IEEE PES Asia-Pacific Power and Energy Engineering Conference (IEEE, 2013)
S. Gope, Dynamic Optimal Power Flow with the Presence of Wind Farm (Lambert Academic Publishing, 2012)
J. Hetzer, D.C. Yu, K. Bhattarai, An economic dispatch model incorporating wind power. IEEE Trans. Energy Convers. 23(2), 603–611 (2008)
I.G. Damousis et al., A fuzzy model for wind speed prediction and power generation in wind parks using spatial correlation. IEEE Trans. Energy Convers. 352–361 (2004)
A.B. Chaib, H.R.E.H. Bouchekara, R. Mehasni, M.A. Abido, Optimal power flow with emission and non-smooth cost functions using backtracking search optimization algorithm. Int. J. Electr. Power Energy Syst. 64, 77 (2016)
S.Y. Lim, M. Montakhab, H. Nouri, Economic dispatch of power system using particle swarm optimization with constriction factor. Int. J. Innov. Energy Syst. Power 29–34 (2009)
Y. Liu, L. Ye, I. Benoit, X. Liu, Y. Cheng, G. Morel, C. Fu, Economic performance evaluation method for hydroelectric generating units. Energy Convers. Manag. 797–808 (2003)
K. Kauakana, Optimal scheduling for distributed hybrid system with pumped hydro storage. Energy Convers. Manag. 253–260 (2016)
S. Brini, H.H. Abdallah, A. Ouali, Economic dispatch for power system included wind and solar thermal energy. Leonardo J. Sci. 204–220 (2009)
M.R. Patel, Wind and Solar Power Systems (CRC Press, Boca Raton, FL, 1999)
S.S. Reddy, P.R. Bijwe, A.R. Abhyankar, Real-time economic dispatch considering renewable power generation variability and uncertainty over scheduling period. IEEE Syst. J. 1440–1451 (2015)
T.P. Chang, Performance comparison of six numerical methods in estimating Weibull parameters for wind energy application. Appl. Energy 88, 272–282 (2011)
N. Mujere, Flood frequency analysis using the Gumbel distribution. Int. J. Comput. Sci. Eng. 2774–2778 (2011)
Z.-L. Gaing, Particle swarm optimization to solving the economic dispatch considering the generator constraints. IEEE Trans. Power Syst. 1187–1195 (2003)
S. Rivera, A. Romero, J. Rueda, K.T. Lee, I. Erlich, Evaluating the Performance of Modern Heuristic Optimizers on Smart Grid Operations Problem (2017)
X.-S. Yang, Flower pollination algorithm for global optimization, in Unconventional Computation and Natural Computation 2012. Lecture Notes in Computer Science, vol. 7445 (2012), pp. 240–249
X.S. Yang, S. Deb, Cuckoo search via levy flights, in Proceedings of World Congress on Nature and Biologically Inspired Computing (2009), pp. 210–214
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Sarda, J., Pandya, K. (2019). Optimal Active–Reactive Power Dispatch Considering Stochastic Behavior of Wind, Solar and Small-Hydro Generation. In: Malik, H., Srivastava, S., Sood, Y., Ahmad, A. (eds) Applications of Artificial Intelligence Techniques in Engineering. Advances in Intelligent Systems and Computing, vol 698. Springer, Singapore. https://doi.org/10.1007/978-981-13-1819-1_25
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DOI: https://doi.org/10.1007/978-981-13-1819-1_25
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