Abstract
Microgrid is an effective way to accept distributed renewable energy, and the development and application of renewable energy can effectively solve the current energy and environmental crisis. However, due to the uncontrollable and intermittent nature of renewable energy, coupled with the complexity of the operation modes of the microgrid, it is more difficult to optimize and control its operation, which has become a key issue in the energy management of microgrid. Considering the randomness of renewable energy, a multiple timescale optimization plan is proposed, which is a two-stage optimization scheme. The scheduling period of day-ahead optimization is 24 h. The targets of load supply and cost are selected as the objective function of an independent microgrid, and the power constraint of each distributed power source is set. The particle swarm optimization algorithm is used to optimize the system. Short-term optimization optimizes the results of day-ahead optimization for a second time, and takes 15 min as a scheduling period. The objective functions of revisions to the plan of day-ahead and the cost are selected and solved by the particle swarm optimization algorithm. The results are verified by the particle swarm optimization and show rationality and feasibility of the method proposed in the paper.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Zhang, J.H., Huang, W.: Control and protection technology of microgrid operation. China Electric Power Press, Beijing, China (2010) (in Chinese)
Liserre, M., Sauter, T., Hung, J.Y.: Future energy systems, integrating renewable energy sources into the smart power grid through industrial electronics. IEEE Ind. Electron. Mag. 4(1), 18–37 (2010)
Zhao, B., Zhang, X., Chen, J., et al.: Operation optimization of standalone microgrids considering lifetime characteristics of battery energy storage system. IEEE Trans. Sustain. Energy 4(4), 934–943 (2013)
Shouxiang, W., Dong, W., Liang, H.: Interval linear programming method for day-ahead optimal economic dispatching of microgrid considering uncertainty. Autom. Electric Power Syst. 38(4), 5–11 (2014)
Jiang, Q.Y., Xue, M.D., Geng, G.C.: Energy management of microgrid in grid-connected and stand-alone modes. IEEE Trans. Power Syst. 28(3), 3380–3389 (2013)
Bae, Hyangryul, Tsuji, Takao, Oyama, Tsutomu: A study on feasible region for islanded operation mode in power systems with distributed generators in emergency. J. Int. Council Electr. Eng. 4(4), 275–280 (2014)
Acknowledgements
This research is supported by the Fundamental Research Funds for Beijing University of Civil Engineering and Architecture (Project Number: X18031); National Key R&D Program of China, Research and Demonstration of Key Technology of Net-Zero Energy Building (Project Number: 2016YFE0102300); Research Fund Project of Beijing University of Civil Engineering and Architecture (Project Number: 00331616040); Research Program of Beijing City Board of Education (KM201610016002); and Science and Technology Project of Ministry of Housing and Urban-Rural Construction, China (Project Number: 2015-K1-012).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Wang, X., Zong, S. (2019). Day-Ahead Short-Term Optimization of Renewable Energy of Microgrid in Multiple Timescales. In: Fang, Q., Zhu, Q., Qiao, F. (eds) Advancements in Smart City and Intelligent Building. ICSCIB 2018. Advances in Intelligent Systems and Computing, vol 890 . Springer, Singapore. https://doi.org/10.1007/978-981-13-6733-5_47
Download citation
DOI: https://doi.org/10.1007/978-981-13-6733-5_47
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-13-6732-8
Online ISBN: 978-981-13-6733-5
eBook Packages: EngineeringEngineering (R0)