Evolutionary Programming Based Optimal Power Flow Algorithm

J. Yuryevich; Kitpo Wong

doi:10.1109/59.801880

Evolutionary Programming Based Optimal Power Flow Algorithm

J. Yuryevich, Kitpo Wong

Graduate Research School

Research output: Contribution to journal › Article › peer-review

492 Citations (Scopus)

Abstract

This paper develops an efficient and reliable evolutionary programming algorithm for solving the optimal power flow (OPF) problem. The class of curves used to describe generator performance does not limit the algorithm and the algorithm is also less sensitive to starting points. To improve the speed of convergence of the algorithm as well as its ability to handle larger systems, the algorithm is enhanced with gradient information. In the paper, the main elements of the evolutionary programming based OFF algorithm are presented. The algorithm is then demonstrated on the IEEE 30 bus test system.

Original language	English
Pages (from-to)	1245 -1250
Journal	IEEE Transactions on Power Systems
Volume	14
Issue number	4
DOIs	https://doi.org/10.1109/59.801880
Publication status	Published - 1999

Access to Document

10.1109/59.801880

Cite this

@article{85392707eb51443c90050e580a43a0f1,

title = "Evolutionary Programming Based Optimal Power Flow Algorithm",

abstract = "This paper develops an efficient and reliable evolutionary programming algorithm for solving the optimal power flow (OPF) problem. The class of curves used to describe generator performance does not limit the algorithm and the algorithm is also less sensitive to starting points. To improve the speed of convergence of the algorithm as well as its ability to handle larger systems, the algorithm is enhanced with gradient information. In the paper, the main elements of the evolutionary programming based OFF algorithm are presented. The algorithm is then demonstrated on the IEEE 30 bus test system.",

author = "J. Yuryevich and Kitpo Wong",

year = "1999",

doi = "10.1109/59.801880",

language = "English",

volume = "14",

pages = "1245 --1250",

journal = "IEEE Transactions on Power System",

issn = "0885-8950",

publisher = "IEEE, Institute of Electrical and Electronics Engineers",

number = "4",

}

TY - JOUR

T1 - Evolutionary Programming Based Optimal Power Flow Algorithm

AU - Yuryevich, J.

AU - Wong, Kitpo

PY - 1999

Y1 - 1999

N2 - This paper develops an efficient and reliable evolutionary programming algorithm for solving the optimal power flow (OPF) problem. The class of curves used to describe generator performance does not limit the algorithm and the algorithm is also less sensitive to starting points. To improve the speed of convergence of the algorithm as well as its ability to handle larger systems, the algorithm is enhanced with gradient information. In the paper, the main elements of the evolutionary programming based OFF algorithm are presented. The algorithm is then demonstrated on the IEEE 30 bus test system.

AB - This paper develops an efficient and reliable evolutionary programming algorithm for solving the optimal power flow (OPF) problem. The class of curves used to describe generator performance does not limit the algorithm and the algorithm is also less sensitive to starting points. To improve the speed of convergence of the algorithm as well as its ability to handle larger systems, the algorithm is enhanced with gradient information. In the paper, the main elements of the evolutionary programming based OFF algorithm are presented. The algorithm is then demonstrated on the IEEE 30 bus test system.

U2 - 10.1109/59.801880

DO - 10.1109/59.801880

M3 - Article

VL - 14

SP - 1245

EP - 1250

JO - IEEE Transactions on Power System

JF - IEEE Transactions on Power System

SN - 0885-8950

IS - 4

ER -

Evolutionary Programming Based Optimal Power Flow Algorithm

Abstract

Access to Document

Fingerprint

Cite this