Abstract
A revised strategy particle swarm optimization algorithm is proposed to solve the economic dispatch problems in power systems. Many constraints such as ramp rate limits and prohibited zones are taken into account, and the loss is also calculated. On the basis of strategy particle swarm optimization algorithm, a new revised strategy is provided to handle the constraints and make sure the particles to satisfy the constraints. The strategy can guarantee the particles to search in or around the feasible solutions area combined with penalty functions. The accuracy and speed of the algorithm are improved for the particles will rarely search in the infeasible solutions area, and the results also show that the new algorithm has a fast speed, high accuracy and good convergence.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Abdelaziz, A.Y., Kamh, M.Z., Mekhamer, S.F., Badr, M.A.L., et al.: A Hybrid HNN-QP Approach for Dynamic Economic Dispatch Problem. Electric Power Systems Research 78, 1784–1788 (2008)
Pothiya, S., Ngamroo, I., Kongprawechnon, W., et al.: Application of Multiple Tabu Search Algorithm to Solve Dynamic Economic Dispatch Considering Generator Constraints. Energy Conversion and Management 49, 506–516 (2008)
Yuan, X., Wang, L., Yuan, Y., et al.: A Modified Differential Evolution Approach for Dynamic Economic Dispatch with Valve-point Effects. Energy Conversion and Management 49, 3447–3453 (2008)
Basu, M.: Dynamic Economic Emission Dispatch Using Nondominated Sorting Genetic Algorithm-II. Electrical Power and Energy Systems 30, 140–149 (2008)
Ming, Z.: Methods for Analyzing Economic Dispatch of Power Grids. East China Electric Power 37, 0719–0723 (2009)
Liang, Z.X., Glover, D.: A Zoom Feature for a Dynamic Programming Solution to Economic Dispatch Including Transmission Losses. IEEE Trans. on Power Systems 7, 544–550 (2007)
El Gallad, A., El Hawary, M., Sallam, A., et al.: Particle Swarm Optimizer for Constrained Economic Dispatch with Prohibited Operating Zones. In: IEEE Conference on Electrical and Computer Engineering, pp. 78–81. IEEE Press, New York (2007)
Wong, K.P., Fung, C.C.: Simulated Annealing Based Economic Dispatch Algorithm. IEE Proceedings on Gener., Transm. and Distrib. 140, 509–515 (2008)
Shi, Y., Eberhart, R.C.: Empirical Study of Particle Swarm Optimization. In: Proceedings of the 1999 Congress on Evolutionary Computation, pp. 1945–1950. IEEE Press, New York (1999)
Gaing, Z.W.: Particle Swarm Optimization to Solving the Economic Dispatch Considering the Generator Constraints. IEEE Trans. on Power Systems 18, 1187–1195 (2005)
Yang, J., Zhou, J.Z., Wu, W., et al.: Application of Improved Particle Swarm Optimization in Economic Dispatching. Power System Technology 29, 1–4 (2009)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
MA, X., LIU, Y. (2010). Economic Dispatch Considering Ancillary Service Based on Revised Particle Swarm Optimization Algorithm. In: Huang, DS., Zhao, Z., Bevilacqua, V., Figueroa, J.C. (eds) Advanced Intelligent Computing Theories and Applications. ICIC 2010. Lecture Notes in Computer Science, vol 6215. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14922-1_23
Download citation
DOI: https://doi.org/10.1007/978-3-642-14922-1_23
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-14921-4
Online ISBN: 978-3-642-14922-1
eBook Packages: Computer ScienceComputer Science (R0)