A Load-Balancing Power Scheduling System for Renewables-Based Virtual Power Plant

DOI

10.2991/mseee-18.2018.33How to use a DOI?

Keywords

virtual power plant, renewables, power scheduling, data mining, optimization.

Abstract

In the recent literature, the architecture of virtual power plant was proposed to replace the current smart grid in the future. However, the energy sharing concept and the uncertainties of intermittent energy sources will cause the short-term energy management for the virtual power plant much more complicated than the current centralized control energy management for traditional power generation system. We thus propose a hierarchical day-ahead power scheduling system based on the architecture of virtual power plant in this work to tackle the complex short-term energy management problems. A reallocation mechanism is presented to allocate excess electricity generated in a community virtual power plant to others facing with power supply shortage, and the maximal usage of renewables and reduction of the burden on community virtual power plants can be achieved accordingly. The experimental results show that the proposed work can mitigate the dependency on traditional power generation, and balance peak and off-peak period load of electricity market.

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  - Chennjung Huang
AU  - Anfeng Liu
AU  - Kaiwen Hu
AU  - Juiting Hsiao
AU  - Liangchun Chen
AU  - Chihting Chen
PY  - 2018/08
DA  - 2018/08
TI  - A Load-Balancing Power Scheduling System for Renewables-Based Virtual Power Plant
BT  - Proceedings of the 2nd International Conference on Material Science, Energy and Environmental Engineering (MSEEE 2018)
PB  - Atlantis Press
SP  - 190
EP  - 193
SN  - 2352-5401
UR  - https://doi.org/10.2991/mseee-18.2018.33
DO  - 10.2991/mseee-18.2018.33
ID  - Huang2018/08
ER  -