Economic analysis and optimal energy management models for microgrid systems: A case study in Taiwan
By Yen-Haw Chen, Su-ying Lu, Yung-Ruei Chang, Tae-Hwa Lee, Ming-Che Hu. 2013
161 citations recorded by the source corpus.
Subfields: Control and Systems Engineering, Electrical and Electronic Engineering, Energy Engineering and Power Technology
View Paper: https://www.semanticscholar.org/paper/7e2112045b301f601da434c1dd5714e76fd9138b
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Control and Systems Engineering
- Luigi Glielmo
- Alessandra Parisio
- Josep M. Guerrero
- Alex Q. Huang
- Evangelos Rikos
- Wencong Su
- C. Gamarra
- Oliver Sawodny
In Electrical and Electronic Engineering
- Alex Q. Huang
- Luigi Glielmo
- Alessandra Parisio
- Josep M. Guerrero
- Evangelos Rikos
- Wencong Su
- C. Gamarra
- Oliver Sawodny
In Energy Engineering and Power Technology
Citations in the corpus
- A Model Predictive Control Approach to Microgrid Operation Optimization (2014, background): “Microgrid modeling needs both continuous (such as storage charge/discharge rates) and discrete (such as ON/OFF states of DGs and DSM controlled loads) decision variables, and the problem is generally formulated as a mixed integer nonlinear problem (MINLP) (see [7]–[9]), for which there is no exact s”
- A game theoretic framework for a next-generation retail electricity market with high penetration of distributed residential electricity suppliers (2014, background): “The majority of existing studies [11–13] focus on power system operations from the utility’s perspective.”
- Computational optimization techniques applied to microgrids planning: A review (2015, background): “In fact, as it can be seen in [68] and [69], classical optimization methods such as IP and LP are still a good approach depending on the problem definition, being GAMS a widely used modelling system.”