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Author:

Fang, Cheng (Fang, Cheng.) | Ma, Zhizhen (Ma, Zhizhen.) | Wang, Kai (Wang, Kai.) | Qin, Boyu (Qin, Boyu.)

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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. Index Terms - Integrated Energy System, Monte Carlo Simulation, Point Estimation, Nataf Transformation © 2019 IEEE.

Keyword:

Computational efficiency Electric power system interconnection Electric power system protection Electric utilities Monte Carlo methods Natural gasoline plants Photovoltaic cells Solar power plants Time domain analysis Wind power

Author Community:

  • [ 1 ] [Fang, Cheng]Xi'an Jiaotong University, School of Electrical Engineering, Xi'an; 710049, China
  • [ 2 ] [Ma, Zhizhen]Economic Research, Institute Co. Ltd, Beijing Electric Power, Beijing; 100101, China
  • [ 3 ] [Wang, Kai]Electric Power Research Institute, State Grid Shaanxi, Xi'an; 710000, China
  • [ 4 ] [Qin, Boyu]Xi'an Jiaotong University, School of Electrical Engineering, Xi'an; 710049, China

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Year: 2019

Page: 491-494

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 1

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 9

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