Uncertainty Risk Assessment of User - side Flexible Resource Scheduling Based on Entropy Weight - TOPSIS Method

DOI

10.2991/aetr-17.2018.34How to use a DOI?

Keywords

Interruptible load management; Uncertainty risk; Entropy weight; TOPSIS

Abstract

Interruptible load management utilizes user flexibility to relieve power shortage during peak load, which can avoid or reduce the investment of high power spinning reserve and meet the increase of electricity demand. There are lots of uncertain risk factors in the process of interruptible load management, so we must consider the uncertain risk of user side flexible resource scheduling. This article sets up the uncertainty risk evaluation index system for flexible scheduling of users on the basis of various uncertainties in technical, economic and social risks, and then illustrates the principle and steps of entropy-TOPSIS model. Finally, we use the model for empirical analysis and calculation, and draw the corresponding conclusions.

Copyright

© 2018, 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  - Fan Wen
AU  - Ze Sun
AU  - Yi Liang
AU  - Dongxiao Niu
PY  - 2018/03
DA  - 2018/03
TI  - Uncertainty Risk Assessment of User - side Flexible Resource Scheduling Based on Entropy Weight - TOPSIS Method
BT  - Proceedings of the 2017 International Conference Advanced Engineering and Technology Research (AETR 2017)
PB  - Atlantis Press
SP  - 177
EP  - 182
SN  - 2352-5401
UR  - https://doi.org/10.2991/aetr-17.2018.34
DO  - 10.2991/aetr-17.2018.34
ID  - Wen2018/03
ER  -