Uncertain Program Based Unit Commitment Model for Power Grid Including Wind Farms

DOI

10.2991/asei-15.2015.3How to use a DOI?

Keywords

Wind farms; Uncertain programming; Forecast errors; hybrid chance-constrained model; Evolutionary algorithm

Abstract

Taking the multiple uncertainties commonly existing in electrical power networks including wind farms into consideration, this paper introduces the uncertain programming theory to convert the uncertainties of wind power and load to those of their forecast errors. Making utilization of fuzzy variable and random variable, the different characteristics of wind power and load are expressed respectively to establish a novel hybrid chance-constrained unit commitment model. In order to solve the established model, a hybrid-simulation evolutionary algorithm is proposed and is applied to the following simplified test system. The validity and effectiveness of the proposed hybrid chance-constrained unit commitment model are demonstrated by the simulation results and analysis.

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  - Siqing Sheng
AU  - Li Zhang
PY  - 2015/05
DA  - 2015/05
TI  - Uncertain Program Based Unit Commitment Model for Power Grid Including Wind Farms
BT  - Proceedings of the 2015 International conference on Applied Science and Engineering Innovation
PB  - Atlantis Press
SP  - 11
EP  - 15
SN  - 2352-5401
UR  - https://doi.org/10.2991/asei-15.2015.3
DO  - 10.2991/asei-15.2015.3
ID  - Sheng2015/05
ER  -