| Issue |
MATEC Web Conf.
Volume 232, 2018
2018 2nd International Conference on Electronic Information Technology and Computer Engineering (EITCE 2018)
|
|
|---|---|---|
| Article Number | 01058 | |
| Number of page(s) | 5 | |
| Section | Network Security System, Neural Network and Data Information | |
| DOI | https://doi.org/10.1051/matecconf/201823201058 | |
| Published online | 19 November 2018 | |
Research on Economic optimal dispatching Strategy of Microgrid based on Model Predictive Control
Hubei Collaborative Innovation Center for High-efficiency Utilization of Solar Energy, Hubei University of Technology, China
a Corresponding author: 1014469043@qq.com
Because of the energy crisis caused by the shortage of fossil energy, countries begin to study low-carbon new energy and micro-grid systems related to new energy, and more importantly the energy dispatching of micro-grid is the focus of the whole micro-grid system. The application of model predictive control to the energy dispatching of microgrid has become one of the mainstreams, but the prediction error will affect the power balance of the actual system. Aiming at the above problems, the improved MPC strategy which deals with prediction error by adding power compensation is put forward. Through real-time monitoring of photovoltaic, fan and load power, the difference between the real value and the predicted value is compared. And in the MPC rolling optimization stage, the power difference compensation is given to the power interaction of the distribution network to eliminate the influence of prediction error. The simulation results show that the total cost of the improved MPC strategy is 22.69% lower than that of the traditional MPC strategy.
© The Authors, published by EDP Sciences, 2018
This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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