Chicken Swarm Optimization for Economic Dispatch with Disjoint Prohibited Zones Considering Network Losses

JASEM Front Page

Economic dispatch problem is one of the optimization problems in power system. This paper attempts to investigate the applicability of Chicken Swarm Optimization algorithm (CSO) to solve extremely challenging non-convex economic load dispatch problem with valve point loading effect, prohibited operating zones, ramp-rate limits and transmission losses involving variations of consumer load patterns. The performance of the proposed approach CSO has been tested successfully on the standard 6-unit system and 15-unit test systems with several heuristic load patterns. The results of this study reveal that the proposed approach is able to find appreciable economical load dispatch solutions than some recently published results. Besides this, the transmission line losses are also considerably reduced and the computation time is reasonably even and less when compared to other methods.

Keywords:Economic dispatch, chicken swarm algorithm, ramp-rate limit, prohibited zones


  1. T. Ding, R. Bo, and W. Gu et al., “Big-M Based MIQP Method for EconomicDispatch with Disjoint Prohibited Zones,” IEEE Trans. Power Syst., vol. 29, no. 2, pp. 976–977, May 2014.
  2. Hardiansyah,“A modified particle swarm optimization technique for economic load dispatch with valve-pointeffect,”Intell.Syst.Applic.,vol.7,pp.32-14,2013
  3. M.R.Narimani,“A new modified shuffle frog leaping algorithm for the non- smooth economic dispatch,” World Appl. Sci. J. , vol. 12, no. 6, 2011.
  4. P. Vu, D. Le, and N. Vo et al., “A novel weight-improved particle swarm optimization algorithm for optimal power flow and economic load dispatch problems,” in Proc,IEEE Transmission and Distrib. Conf. Expo., Apr. 2010, pp. 1–7
  5. S. Khamsawang and S. Jiriwibhakorn, “Solving the economic dispatchproblem using novel particle swarm optimization,IntJ. Electr.,Comput.,Syst. Eng., vol. 3, no. 1, pp. 1–7, 2009
  6. K. T. Chaturvedi, M. Pandit, and L. Srivastava,“Self-organizing hierarchical particle swarm optimization for nonconvex economic dispatch,”IEEE TransPower Syst., vol. 23, no. 3, pp.101087, Aug. 2008.
  7. L. G. Papageorgiou and E. S. Fraga, “A mixed integer quadratic programming formulation for the economic dispatch of generators with prohibited operating zones,” Electric Power Syst. Res., vol. 77, pp. 1292–1296, 2007.
  8. S. K. Wang, J. P. Chiou, and C. W. Liu, “Non-smooth / non-convex economic dispatch by a novel hybrid differential evolution algorithm,” IETGener Transm.Distrib., vol. 1, no. 5, pp. 793–803, 2007.
  9. Z. L. Giang , “ Particle swarm optimization to solving the economic dispatch considering the generator constraints,” IEEE Trans. Power Syst.,vol. 18, no. 3, pp. 1187–1195, Aug. 2003.
  10. X. Yao, Y. Liu, and G. Lin, “Evolutionary programming made faster, IEEE Trans . Evol. Comput ., vol. 3, no. 2, pp. 82–102, 1999.
  11. K. Chellapilla and D. B. Fogel, “Two new mutation operators for enhanced search and optimization in evolutionary programming ,”in SPIE Int. Symp. Optical Science and Engineering Instrum. Conf., 3165: Applic. Soft Comput., 1997, pp. 260–269, Bellingham, WA: SPIE Press.