A Summary of Reactive Power Optimization Algorithms

DOI

10.2991/iccmcee-15.2015.261How to use a DOI?

Keywords

power system, reactive power optimization, traditional algorithms, artificial intelligence optimization algorithm, hybrid optimization algorithm.

Abstract

In order to comprehensively generalize the research status quo, achievements as well as deficiencies on the power system reactive power optimization algorithms, a universal reactive power optimization model was introduced in this paper, and a variety of common traditional optimization algorithms, artificial intelligence optimization algorithms used in current power system reactive power optimization were summarized, including linear programming, nonlinear programming, dynamic programming, modern heuristic search, expert system method, etc. The principle, advantages and disadvantages of each algorithm were analyzed in this paper, at the same time, several improved optimization algorithms which aimed at the flaws of each basic optimization algorithm were also introduced. Finally, the paper listed several effective hybrid optimization algorithms, and offered a proposal on the research direction of reactive power optimization in the future.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - DongYue Zhang
AU  - Kewen Wang
PY  - 2015/11
DA  - 2015/11
TI  - A Summary of Reactive Power Optimization Algorithms
BT  - Proceedings of the 2015 4th International Conference on Computer, Mechatronics, Control and Electronic Engineering
PB  - Atlantis Press
SP  - 1387
EP  - 1392
SN  - 2352-5401
UR  - https://doi.org/10.2991/iccmcee-15.2015.261
DO  - 10.2991/iccmcee-15.2015.261
ID  - Zhang2015/11
ER  -