Knee Point-Guided Multiobjective Optimization Algorithm for Microgrid Dynamic Energy Management
Joint Authors
Li, Wenhua
Zhang, Guo
Huang, Shengjun
Zhang, Tao
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-11-07
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Model predictive control (MPC) technology can effectively reduce the bad effect caused by inaccurate data prediction in microgrid energy management problem.
However, the use of MPC technology needs to dynamically select an optimal solution from the Pareto solution set to implement, which needs the participant of the decision-makers frequently.
In order to reduce the burden on decision-makers, we designed a knee point-based evolutionary multiobjective optimization algorithm, termed KBEMO.
Knee point is the solution on Pareto front with the maximum marginal utility, which is considered as the preferred solution if there is no other preference.
This algorithm focuses on obtaining the knee region and automatically outputs knee points after the optimization.
By combining this algorithm with MPC technology, it can effectively reduce the amount of computational consumption and obtain better convergence.
Experimental results show that this method is more competitive than the traditional single-objective MPC method.
American Psychological Association (APA)
Li, Wenhua& Zhang, Guo& Zhang, Tao& Huang, Shengjun. 2020. Knee Point-Guided Multiobjective Optimization Algorithm for Microgrid Dynamic Energy Management. Complexity،Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1145081
Modern Language Association (MLA)
Li, Wenhua…[et al.]. Knee Point-Guided Multiobjective Optimization Algorithm for Microgrid Dynamic Energy Management. Complexity No. 2020 (2020), pp.1-11.
https://search.emarefa.net/detail/BIM-1145081
American Medical Association (AMA)
Li, Wenhua& Zhang, Guo& Zhang, Tao& Huang, Shengjun. Knee Point-Guided Multiobjective Optimization Algorithm for Microgrid Dynamic Energy Management. Complexity. 2020. Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1145081
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1145081