Economic Evaluation and Research of Day-ahead Optimal Dispatch of the Microgrid

DOI

10.2991/icemc-17.2017.139How to use a DOI?

Keywords

Microgrid; Economy; Genetic algorithm; Day-ahead dispatch; Load power supply unit price

Abstract

Aiming at the day-ahead optimal problem of microgrid, according to the accurate wind and light output data within 24 hours, this paper establishes the optimization model. In the case of adding storage battery regulation, the regulation and distribution model of the storage battery in one day is established, and by introducing 0-1 variables, the charge and discharge of the storage battery are restricted. The abandoned air and abandoned light are taken as slack variables, and the genetic algorithm is used to search the model. After convergence analysis, the optimal solution is obtained, so as to obtain the decline situation of the average load power supply unit price, and meanwhile through the situation analysis of the charge and discharge of the storage battery, the conclusion that the storage battery can compensate the load demand and reduce the cost of the power supply can be obtained.

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  - Zhang Yuman
PY  - 2016/06
DA  - 2016/06
TI  - Economic Evaluation and Research of Day-ahead Optimal Dispatch of the Microgrid
BT  - Proceedings of the 7th International Conference on Education, Management, Information and Computer Science (ICEMC 2017)
PB  - Atlantis Press
SP  - 687
EP  - 696
SN  - 2352-538X
UR  - https://doi.org/10.2991/icemc-17.2017.139
DO  - 10.2991/icemc-17.2017.139
ID  - Yuman2016/06
ER  -