Journal of Modern Power Systems and Clean Energy

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Home > Archive>Volume 9, Issue 2, 2021 >316-327. DOI:10.35833/MPCE.2020.000052
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Distributed Real-time State Estimation for Combined Heat and Power Systems
Author:
Affiliation:

1.Key Laboratory of Power System Intelligent Dispatch and Control, Ministry of Education, Shandong University, Jinan 250061, China;2.Department of Electrical and Computer Engineering, Mississippi State University, Starkville, MS 39762, USA

Fund Project:

This work was supported by the Science and Technology Project of State Grid Corporation of China (No. 52060019001H).

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    Abstract:

    This paper proposes a distributed real-time state estimation (RTSE) method for the combined heat and power systems (CHPSs). First, a difference-based model for the heat system is established considering the dynamics of heat systems. This heat system model is further used along with the power system steady-state model for holistic CHPS state estimation. A cubature Kalman filter (CKF)-based RTSE is developed to deal with the system nonlinearity while integrating both the historical and present measurement information. Finally, a multi-time-scale asynchronous distributed computation scheme is designed to enhance the scalability of the proposed method for large-scale systems. This distributed implementation requires only a small amount of information exchange and thus protects the privacy of different energy systems. Simulations carried out on two CHPSs show that the proposed method can significantly improve the estimation efficiency of CHPS without loss of accuracy compared with other existing models and methods.

    表 9 Table 9
    表 3 Table 3
    表 10 Table 10
    表 11 Table 11
    图1 System partition scheme for CHPS.Fig.1
    图2 Multi-frequency state estimation framework.Fig.2
    图3 Asynchronous parallel computation scheme for RTSE of CHPS.Fig.3
    图4 Schematic diagram of 26-bus CHPS.Fig.4
    图5 Load scaling factor for heat system.Fig.5
    图6 Estimated and true values of voltage magnitude of bus 7.Fig.6
    图7 Estimated and true values of voltage angle of bus 7.Fig.7
    图8 Estimated and true values of supply temperature of bus 7.Fig.8
    图9 Estimated and true values of return temperature of bus 7.Fig.9
    图11 RMSE for voltage magnitude.Fig.11
    图12 RMSE for phase angle.Fig.12
    图13 RMSE for supply temperature.Fig.13
    图14 RMSE for return temperature.Fig.14
    表 1 Table 1
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  • Received:February 04,2020
  • Online: March 22,2021

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