Abstract
Since there exist various uncertainties in integrated energy systems, it is necessary to study the probabilistic energy flow of the integrated energy system. However, the existing probabilistic energy flow calculation methods have the problem of low computational efficiency and are difficult to add correlation between variables. This paper presents a calculation method to solve these probabilistic energy flow problems. First, this paper models the integrated energy system which is interconnected with natural gas and electricity system, and takes the uncertainty of wind farms and photovoltaic power plants in power system into account by carrying out Monte Carlo simulation. Second, this paper adds correlation between wind farm and photovoltaic power plants samples by Nataf transformation. Finally, time-domain simulations are performed, and the results show the accuracy of the proposed method.
| Original language | English |
|---|---|
| Title of host publication | APAP 2019 - 8th IEEE International Conference on Advanced Power System Automation and Protection |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 491-494 |
| Number of pages | 4 |
| ISBN (Electronic) | 9781728117225 |
| DOIs | |
| State | Published - Oct 2019 |
| Event | 8th IEEE International Conference on Advanced Power System Automation and Protection, APAP 2019 - Xi'an, China Duration: 21 Oct 2019 → 24 Oct 2019 |
Publication series
| Name | APAP 2019 - 8th IEEE International Conference on Advanced Power System Automation and Protection |
|---|
Conference
| Conference | 8th IEEE International Conference on Advanced Power System Automation and Protection, APAP 2019 |
|---|---|
| Country/Territory | China |
| City | Xi'an |
| Period | 21/10/19 → 24/10/19 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
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