The Control Technique of AGC under Regional Grid Security Constraint and Dispatching Principles of Openness, Impartiality and Fairness

DOI

10.2991/mmsta-19.2019.50How to use a DOI?

Keywords

renewable energy generation; AGC; grid dispatching; orthogonal learning differential evolution

Abstract

Renewable energy generation (REG), including wind farms and solar plants, are continuously installed in power systems with a relatively high speed. Due to large portion of installation and intermittent characteristic, fully absorbing REG has become a troublesome problem when under certain regional grid security constraints and dispatching principles for grid dispatchers. Based on the strategy of auto generating control and the heuristic optimization method of differential evolution (DE), a novel AGC implemented with the algorithm of the variant of DE (orthogonal learning differential evolution (OLDE)) is designed to solve the problem. In this paper, a 39-node New-England system with renewable energy plants paralleled is adopted to verify the performance. The experimental results with power increasing and decreasing cases both display that the AGC can meet the demand.

Copyright

© 2019, 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/).

Download article (PDF)

TY  - CONF
AU  - Yao Zhang
AU  - Gang Yao
PY  - 2019/12
DA  - 2019/12
TI  - The Control Technique of AGC under Regional Grid Security Constraint and Dispatching Principles of Openness, Impartiality and Fairness
BT  - Proceedings of the 2019 2nd International Conference on Mathematics, Modeling and Simulation Technologies and Applications (MMSTA 2019)
PB  - Atlantis Press
SP  - 234
EP  - 241
SN  - 2352-538X
UR  - https://doi.org/10.2991/mmsta-19.2019.50
DO  - 10.2991/mmsta-19.2019.50
ID  - Zhang2019/12
ER  -