Hydrothermal generation scheduling package: A genetic based approach

Hydrothermal generation scheduling package: A genetic based approach

For access to this article, please select a purchase option:

Buy article PDF
(plus tax if applicable)
Buy Knowledge Pack
10 articles for $120.00
(plus taxes if applicable)

IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.

Learn more about IET membership 

Recommend Title Publication to library

You must fill out fields marked with: *

Librarian details
Your details
Why are you recommending this title?
Select reason:
IEE Proceedings - Generation, Transmission and Distribution — Recommend this title to your library

Thank you

Your recommendation has been sent to your librarian.

Novel solution algorithms and results based on a genetic algorithm for solving the hydrothermal generation scheduling (HTGS) problem are presented. This is a nonlinear, combinational optimisation problem which aims to minimise the total fuel costs of a power system while satisfying various local and coupling constraints. This results in a complete and efficient HTGS software package for system operation planning needs. In the thermal unit commitment subproblem, the difficult minimal uptime/downtime constraints are embedded and satisfied throughout the proposed encoding and decoding algorithms. Therefore, the global optimum of the problem can be approached with rather high probability. In the hydroelectric scheduling subproblems, complete solution algorithms and encoding/decoding techniques are proposed for solving different types of hydro plants involving hydraulically independent plants (HIPs), hydraulically coupled plants (HCPs), and pump-storage (P/S) plants. In the proposed approach, the hydraulically coupled plants which are located on the same river are solved concurrently. The difficult water balance constraints caused by hydraulic coupling are embedded and satisfied throughout the proposed encoding and decoding algorithm. The software package is applied with great success to the actual Taipower system, which consists of 34 thermal units, two HIPs, three HCPs, and four P/S units.


    1. 1)
      • A.J. Wood , B.F. Wollenberg . (1996) Power generation, operation and control.
    2. 2)
      • El-Hawary, M.E.: `An overview of scheduling functions in hydrothermal electric power systems', Proceedings of 1991 IASTED international conference, March 1991, p. 1–37.
    3. 3)
      • S. Ruzic , A. Vuckovic , N. Rajakovic . A flexible approach to short-term hydrothermal coordination, Part I &II. IEEE Trans. Power Syst. , 1564 - 1578
    4. 4)
      • X. Guan , P.B. Luh . Nonlinear approximation method in Lagrangian relaxation-based algorithmfor hydrothermal scheduling. IEEE Trans. Power Syst. , 772 - 778
    5. 5)
      • D.E. Goldberg . (1989) Genetic algorithm in search, optimization, and machine learning.
    6. 6)
      • L. Davis . (1991) Handbook of genetic algorithms.
    7. 7)
      • K. Nara , A. Shiose , M. Kitagawa , T. Shihara . Implementation of genetic algorithm for distribution systemsloss minimum reconfiguration. IEEE Trans. Power Syst. , 3 , 1044 - 1050
    8. 8)
      • P.H. Chen , H.C. Chang . Genetic aided scheduling of hydraulically coupled plants in hydrothermalcoordination. IEEE Trans. Power Syst. , 2 , 975 - 981
    9. 9)
      • P.H. Chen , H.C. Chang . Large-scale economic dispatch by genetic algorithm. IEEE Trans. Power Syst. , 4 , 1919 - 1926
    10. 10)
      • R.N. Wu , T.H. Lee , E.F. Hill . An investigation of the accuracy and the characteristics of the peak-shavingmethodapplied to production cost calculations. IEEE Trans. Power Syst. , 3 , 1043 - 1049
    11. 11)
      • Sun, D.I.: `Generating units (hydro, thermal and pumped-storage) optimal dispatch', Annual Research and Development Report, 1988, p. 1–81.
    12. 12)
      • Chen, P.H.: `Generation scheduling of hydraulically coupled plants', 1989, Master, National Tsing–Hua University, Department of Electrical Engineering.

Related content

This is a required field
Please enter a valid email address