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SCIENCE CHINA Information Sciences, Volume 64 , Issue 1 : 112202(2021) https://doi.org/10.1007/s11432-019-2638-2

Distributed fixed step-size algorithm for dynamic economic dispatch with power flow limits

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  • ReceivedMar 27, 2019
  • AcceptedAug 5, 2019
  • PublishedOct 28, 2020

Abstract

In this study, a discrete-time distributed algorithm is proposed for solving the dynamic economic dispatch problem with active power flow limits and transmission line loss. To avoid the communication burden and implement the algorithm in a favorably distributed manner, the splitting method is used to bypass the centralized updating of the algorithm's parameters, which is unavoidable when implementing conventional Lagrangian methods. The use of a fixed step-size and distributed update enhances the applicability of the algorithm. The performance and effectiveness of the proposed distributed algorithm are verified via numerical studies on the IEEE 14-bus system.


References

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  • Figure 1

    (Color online) Optimal dispatch of each generator.

  • Figure 2

    (Color online) (a) Structure chart of IEEE 14-bus; (b) topology of IEEE 14-bus.

  • Figure 3

    (Color online) (a) Power output of the distributed generators; (b) load demand of the users.

  • Figure 4

    (Color online) (a) Mismatch of entire grid and (b) the incremental cost of each generation in five time slots.

  • Figure 5

    (Color online) Values of (a) $\mu_{i,h}$ and (b) $\nu_{i,h}$ in five time slots.

  • Figure 6

    (Color online) Consensus values of the Lagrangian multipliers $\theta_i$ (a) and $\gamma_i$ (b) of the power flow constraints.

  • Figure 7

    (Color online) Active power flow of the transmission lines.

  • Table 1  

    Table 1Parameters of the distributed generators

    ParameterGenerator number
    1341314
    $a_i$0.080.0620.0750.0720.066
    $b_i$2.254.23.256.253.2
    $c_i$2312231419
    $P_i^m$20102095
    $P_i^M$8080957080
    $P_i^R$10101087
    $\beta_i$0.0010.0010.0010.0010.001
  • Table 2  

    Table 2Output of each renewable generator

    User numberTime 1 Time 2Time 3Time 4 Time 5
    7 10 15 6 136
    8 5 12 5 1510
    104 17 3 1218
    1115 32 102013
  • Table 3  

    Table 3Parameters of the users' load demand

    User number$\omega_i$$\upsilon_i$$d_i^m$$d_i^M$
    20.0615.123060
    50.08211.9841539
    60.06512.9921535
    70.06213.2161537
    80.06612.041535
    90.07115.9042058
    100.06212.5441025
    110.07513.31530
    120.07612.5721832
  • Table 4  

    Table 4Corresponding parameters of the transmission lines

    1234567891011121314151617181920
    From11222344456667799101213
    To2534545796111213891014111314
    $T_l$5466364269962848363646.836363654425425.246.872