In order to solve the problem that the traditional two-state reliability theory cannot be applied to the reliability assessment of integrated electricity and heat systems (IEHS), an IEHS reliability assessment method suitable for multi-state units considering the uncertainty of wind, solar and wind loads was proposed. Firstly, the steady-state probability model of multi-state units is analyzed based on the Markov process, and then, considering the uncertainties in the case of wind power and photovoltaic access in IEHS, the optimal load reduction model of IEHS is established with the goal of minimizing load reduction, and the Monte Carlo simulation method is used to solve the model. Finally, the effectiveness of the model and solution method is verified by example simulation, and the influence of multi-state units and electric heat pump (EHP) capacity on system reliability is analyzed.

Taihao Liu. Reliability Assessment of Integrated Electricity and Heat Systems Considering Multi-State Units. International Journal of Frontiers in Engineering Technology (2024), Vol. 6, Issue 2: 56-63. https://doi.org/10.25236/IJFET.2024.060208.

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