Jingrui Zhang, Jian Wang, Chaoyuan Yue, and Lingling Zhuang


  1. [1] S.O. Orero and M.R. Irving, A genetic algorithm modelling framework and solution technique for short term optimal hydrothermal scheduling, IEEE Transactions on Power and Systems, 13 (2), 1998, 501–518.
  2. [2] S. Kumar and R. Naresh, Efficient real coded genetic algorithm to solve the non-convex hydrothermal scheduling problem, International Journal of Electrical Power and Energy Systems, 29 (10), 2007, 738–747.
  3. [3] N. Sinha, R. Chakrabarti, and P.K. Chattopadhyay, Fast evolutionary programming techniques for short-term hydrothermal scheduling, Electrical Power Systems Research, 66 (2), 2003, 97–103.
  4. [4] T.G. Werner and J.F. Versteger, An evolutionary strategy for short term operation planning of hydrothermal power systems, IEEE Transactions on Power and Systems, 14 (4), 1994, 1362–1368.
  5. [5] K.P. Wong and Y.W. Wong, Short-term hydrothermal scheduling part. I. Simulated annealing approach, IEE Proc. Generation Transmission and Distribution, 141, 1994, 49.
  6. [6] L. Lakshminarasimman and S. Subramanian, Short-term scheduling of hydrothermal power system with cascaded reservoirs by using modified differential evolution, IEE Proc. Generation Transmission and Distribution, 153 (6), 2006, 693–700.
  7. [7] L. Lakshminarasimman and S. Subramanian, A modified hybrid differential evolution for short-term scheduling of hydrothermal power systems with cascaded reservoirs, Energy Conversion and Management, (49), 2008, 2513–2521.
  8. [8] K.K. Mandal and N. Chakraborty, Differential evolution technique-based short term economic generation scheduling of hydrothermal systems, Electrical Power Systems Research, 78 (11), 2008, 1972–1979.7-501.
  9. [9] J. Kennedy and R. Eberhart, Particle swarm optimization, Proc. IEEE Conf. Neural Networks, 4, 1995, 1942–1948.
  10. [10] A. Ei-Gallad, M. Ei-Hawary, A. Sallam, and A. Kalas, Particle swarm optimizer for constrained economic dispatch with prohibited operating zones, Proc. IEEE Canadian Conf. Electrical and Computer Engineering, 2002, 78–81.
  11. [11] J.B. Park, K.S. Lee, J.R. Shin, and K.Y. Lee, A particle swarm optimization for economic dispatch with nonsmooth cost functions, IEEE Transactions on Power and Systems, 20(1), 2005, 34–42.
  12. [12] L.D.S. Coelho and V.C. Mariani, Particle swarm approach based on quantum mechanics and harmonic oscillator potential well for economic load dispatch with valve-point effects, Energy Conversion and Management, 49 (11), 2008, 3080–3085.
  13. [13] J.G. Vlachogiannis and K.Y. Lee, Economic load dispatch – a comparative study on heuristic optimization techniques with an improved coordinated aggregation-based PSO, IEEE Transactions on Power and Systems, 24 (2), 2009, 991–1001.
  14. [14] X. Yuan, L. Wang, and Y. Yuan, Application of enhanced PSO approach to optimal scheduling of hydro system, Energy Conversion and Management, 49 (11), 2008, 2966–2972.
  15. [15] J. Wu, J. Zhu, G. Chen, and H. Zhang, A hybrid method for optimal scheduling of short-term electric power generation of cascaded hydroelectric plants based on particle swarm optimization and chance-constrained programming, IEEE Transactions on Power and Systems, 23 (4), 2008, 1570–1579.
  16. [16] A. Mahor, V. Prasad, and S. Rangnekar, Scheduling of cascaded hydro power system: a new self adaptive inertia weight particle swarm optimization approach, Proc. Int. Conf. Advances in Recent Technologies in Communication and Computing, 2009, 565–570.
  17. [17] B. Zhao, C. Guo, B. Bai, and Y. Cao, An improved particle swarm optimization algorithm for unit commitment, International Journal of Electrical Power and Energy Systems, 28 (7), 2006, 482–490.
  18. [18] K. Mahadevan and P.S. Kannan, Lagrangian relaxation-based particle swarm optimization for unit commitment problem, International Journal of Power Energy and Systems, 27 (4), 2007, 320–329.
  19. [19] B. Yu, X. Yuan, and J. Wang, Short-term hydro-thermal scheduling using particle swarm optimization method, Energy Conversion and Management, 48 (7), 2007, 1902–1908.
  20. [20] K.K. Mandal, M. Basu, and N. Chakraborty, Particle swarm optimization technique based short-term hydrothermal scheduling, Application of Soft Computation, 8 (4), 2008, 1392–1399.
  21. [21] P.K. Hota, A.K. Barisal, and R. Chakrabarti, An improved PSO technique for short-term optimal hydrothermal scheduling,Electrical Power Systems Research, 79 (7), 2009, 1047–1053.
  22. [22] N. Amjady and H.R. Soleymanpour, Daily hydrothermal generation scheduling by a new modified adaptive particle swarm optimization technique, Electrical Power Systems Research, 80 (6), 2010, 723–732.
  23. [23] J. Zhang, C. Yue, and J. Wang, Small population-based particle swarm optimization for short-term hydrothermal scheduling problem, IEEE Transactions on Power and Systems, 27 (1), 2012, 142–152.
  24. [24] S. Lu, C. Sun, and Z. Lu, An improved quantum-behaved particle swarm optimization method for short-term combined economic emission hydrothermal scheduling, Energy Conversionand Management, 51 (3), 2010, 561–571.

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