A Comparative Study of Deterministic Unit Commitment and Probabilistic Unit Commitment

DOI

10.2991/icreet-16.2017.19How to use a DOI?

Keywords

Deterministic unit commitment; Probability unit commitment; Irregular distribution of wind power; Wind scenarios; Scenarios check.

Abstract

According to the influence of wind power integration on the security and stability of power system, deterministic unit commitment is currently used to economic dispatch, which takes reserve capacities to cope with the wind power fluctuation. Compared with the traditional deterministic unit commitment, this paper adopts theÿscenario-basedÿmethod to build the probabilistic unit commitment model. A method of wind irregular probabilistic distribution model based on "wind speed-wind power" relationship is proposed to describe the uncertainty of wind power with multiple scenarios. The paper has deeply research on the similarities and differences of deterministic unit commitment and probabilistic unit commitment, and analyzes the influence of two scheduling schemes on the system operation cost, solving efficiency and the ability of system acceptance wind power, respectively. A modified IEEE 118-bus test system is used to make simulation and verification, comparison results of two method provide strong technical support for the engineering community to the operation of probabilistic unit commitment.

Copyright

© 2017, 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  - Gang Zhou
AU  - Kaifeng Zhang
AU  - Kun Yuan
AU  - Dawei Li
AU  - Qia Ding
AU  - Lirong Xie
AU  - Shuomin Wu
PY  - 2017/03
DA  - 2017/03
TI  - A Comparative Study of Deterministic Unit Commitment and Probabilistic Unit Commitment
BT  - Proceedings of the 2016 4th International Conference on Renewable Energy and Environmental Technology (ICREET 2016)
PB  - Atlantis Press
SP  - 99
EP  - 107
SN  - 2352-5401
UR  - https://doi.org/10.2991/icreet-16.2017.19
DO  - 10.2991/icreet-16.2017.19
ID  - Zhou2017/03
ER  -