| Issue |
E3S Web Conf.
Volume 53, 2018
2018 3rd International Conference on Advances in Energy and Environment Research (ICAEER 2018)
|
|
|---|---|---|
| Article Number | 01024 | |
| Number of page(s) | 5 | |
| Section | Energy Engineering, Materials and Technology | |
| DOI | https://doi.org/10.1051/e3sconf/20185301024 | |
| Published online | 14 September 2018 | |
Multi-Objective Day-Ahead Optimal Scheduling of Isolated Microgrid Considering Flexibility
1
State Grid Binzhou Power Supply Company, No.521 Yellow River Fourth Road, Binzhou, Shandong Province, China
2
Sichuan University, No.24 South Section 1, Yihuan Road, Chengdu, Sichuan Province, China
* Corresponding author: scuyanglongjie@foxmail.com
In isolated microgrid, renewable energy sources including photovoltaic and wind power, have the nature of intermittence and variability. Making a reasonable day-ahead generation schedule could improve system ability to cope with uncertainty. Therefore, based on day-ahead generation schedule, flexibility insufficiency rate is proposed considering economy and flexibility. Aiming at the lowest flexibility insufficiency rate and optimal operating cost, a day-ahead generation schedule optimizing model of isolated microgrid is established. Under multi-objective particle swarm optimization, Pareto optimal solution set of the day-ahead generation schedule is found. Simulation results of an isolated microgrid show that, day-ahead generation schedule made with the proposed method can improve ability of power system to cope with uncertainty and reduce economic losses.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (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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