4.4 Article

A variant of Newton-Raphson method with third-order convergence for energy flow calculation of the integrated electric power and natural gas system

Journal

IET GENERATION TRANSMISSION & DISTRIBUTION
Volume 16, Issue 14, Pages 2766-2776

Publisher

INST ENGINEERING TECHNOLOGY-IET
DOI: 10.1049/gtd2.12298

Keywords

-

Funding

  1. National Key Research and Development Program of China [2018YFE0208400]
  2. Science and Technology Project of State Grid Corporation of China (Key Technologies of Novel Integrated Energy System Considering Cross-border Interconnection)
  3. Natural Science Foundation of China [52007066]
  4. Natural Science Foundation of Guangdong Province, China [2021A1515010584]
  5. Guangdong Basic and Applied Basic Research Foundation [2020A1515111100]
  6. Talent Recruitment Project of Guangdong [2017GC010467]

Ask authors/readers for more resources

A variant of the Newton-Raphson method with third-order convergence is proposed to address convergence failure or oscillating iterations in the energy flow calculation of heterogeneous integrated energy systems. Simulation studies confirm the effectiveness of the proposed method, showing superior computational efficiency compared to other methods.
The energy flow calculation of the integrated electric power and natural gas system (IEGS) is generally tackled by the classical Newton-Raphson (NR) method with second-order convergence. However, this method may fail to converge or incur oscillating iterations leading to heavy computation burden if the initial point is not selected properly, especially in heterogenous integrated energy systems containing the natural gas system. To handle this problem, a variant of Newton-Raphson method with third-order convergence is proposed, which needs one function and two derivative evaluations per iteration without increasing the number of derivative evaluations. In order to verify the effectiveness of the proposed method, simulation studies are carried out on several different cases for the energy flow calculation of IEGS. Experiment results reveal that the proposed method is superior to the classical Newton-Raphson method and its other variants in terms of computational efficiency.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.4
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available