Simulated annealing based economic dispatch algorithm

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Simulated annealing based economic dispatch algorithm

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This paper develops an economic dispatch algorithm for the determination of the global or near global optimum dispatch solution. The algorithm is based on the simulated annealing technique. In the algorithm, the load balance constraint and the operating limit constraints of the generators are fully accounted for. In the development of the algorithm, transmission losses are first discounted and they are subsequently incorporated in the algorithm through the use of the B-matrix loss formula. The algorithm is demonstrated by its application to a test system. The results determined by the new algorithm are compared to those found by dynamic programming with a zoom feature.

Inspec keywords: power system analysis computing; power system control; matrix algebra; control system analysis computing; simulated annealing; load dispatching; optimal control; digital simulation; economics

Other keywords: load dispatching; power system control; operating limit constraints; global optimum dispatch; load balance constraint; transmission losses; optimal control; simulated annealing; economic dispatch; algorithm; B-matrix loss formula; digital simulation

Subjects: Control system analysis and synthesis methods; Optimisation; Algebra; Power engineering computing; Optimisation techniques; Algebra; Control system design and analysis; Optimal control; Control of electric power systems; Optimisation techniques; Power system management, operation and economics

References

    1. 1)
      • G.C. Contaxis , C. Delkis , G. Korres . Decoupled optimum load flow using linear or quadratic programming. IEEE Trans. , 1 - 7
    2. 2)
      • N.E. Collins , R.W. Eglese , B.L. Golden . Simulated annealing: an annotated bibliography. Am. J. Math. Managem. Sci. , 209 - 307
    3. 3)
      • N. Metropolis , A.W. Rosenbluth , M.N. Rosenbluth , A.H. Teller , E. Teller . Equation of state calculations by fast computing machines. J. Chem. Phys. , 6 , 1087 - 1092
    4. 4)
      • S.N. Talukdar , F.F. Wu . Computer-aided dispatch for electric power systems. IEEE Proc. , 10 , 1212 - 1231
    5. 5)
      • J. Nanda , D.P. Kothari , S.C. Srivastava . New optimum power-dispatch algorithm using Fletcher' quadratic programming method. IEE Proc. C , 3 , 153 - 161
    6. 6)
      • C.E. Lin , G.L. Viviani . Hierarchical economic dispatch for piecewise quadratic cost functions. IEEE Trans. , 6 , 1170 - 1175
    7. 7)
      • E. Aarts , J.M. Korst . (1989) , Simulated annealing and Boltzmann machines: a stochastic approach to combinatorial optimization and neural computing.
    8. 8)
      • H.H. Happ . Optimum power dispatch: a comprehensive survey. IEEE Trans. , 841 - 851
    9. 9)
      • T. Satoh , N. Kara . Maintenance scheduling by using simulated annealing method. IEEE Trans. , 2 , 850 - 856
    10. 10)
      • R.Y. Rubinstein . (1981) , Simulation and Monte Carlo method.
    11. 11)
      • P.E. Berry , R.M. Dunnett . Contingency constrained economic dispatch algorithm for transmission planning. IEE Proc. C , 4 , 238 - 244
    12. 12)
      • A.J. Wood , B.F. Wollenberg . (1984) , Power generatuon, operation and control.
    13. 13)
      • K.Y. Lee , Y.M. Park , M.S. Ortis . Fuel-cost minimisation for both real- and reactive-power dispatches. IEE Proc. C , 3 , 85 - 93
    14. 14)
      • M.R. Irving , M.J.H. Sterling . Optimum network tearing using simulated annealing. IEE Proc. C , 1 , 69 - 72
    15. 15)
      • F. Zhuang , F.D. Galiana . Unit commitment by simulated annealing. IEEE Trans. , 311 - 317
    16. 16)
      • M.A. Styblinski , T.S. Tang . Experiments in nonconvex optimization: stochastic approximation with function smoothing and simulated annealing. Neural Networks , 467 - 483
    17. 17)
      • Z.X. Liang , J.D. Glover . A zoom feature for a dynamic programming solution to economic dispatch including transmission losses. IEEE Trans. , 2 , 544 - 550
    18. 18)
      • K.P. Wong , K. Doan . A recursive economic dispatch algorithm for assessing the costs of thermal generator schedules. IEEE Trans. , 2 , 577 - 583
    19. 19)
      • S. Kirkpatrick , C.D. Gelatt , M.P. Vecchi . Optimization by simulated annealing. Science , 4598 , 671 - 680
    20. 20)
      • M.R. Irving , M.J.H. Sterling . Economic dispatch of active power with constraint relaxation. IEE Proc. C , 4 , 172 - 177
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