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- W2797904153 abstract "The existing studies on probabilistic steady-state analysis of integrated energy systems (IES) are limited to integrated electricity and gas networks or integrated electricity and heating networks. This paper proposes a probabilistic steady-state analysis of integrated electricity, gas and heating networks (EGH-IES). Four typical operation modes of an EGH-IES are presented at first. The probabilistic energy flow problem of the EGS-IES considering its operation modes and correlated uncertainties in wind/solar power and electricity/gas/heat loads is then formulated and solved by the Monte Carlo method based on Latin hypercube sampling and Nataf transformation. Numerical simulations are conducted on a sample EGH-IES working in the “electricity/gas following heat” mode to verify the probabilistic analysis proposed in this paper and to study the effects of uncertainties and correlations on the operation of the EGH-IES, especially uncertainty transmissions among the subnetworks." @default.
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- W2797904153 date "2018-04-12" @default.
- W2797904153 modified "2023-10-14" @default.
- W2797904153 title "Probabilistic Steady-State Operation and Interaction Analysis of Integrated Electricity, Gas and Heating Systems" @default.
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- W2797904153 doi "https://doi.org/10.3390/en11040917" @default.
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