Dynamic economic dispatch of a hybrid energy microgrid considering building based virtual energy storage system

By Xiaolong Jin, Yunfei Mu, H. Jia, Jianzhong Wu, Tao Jiang, Xiaodan Yu. 2017

242 citations recorded by the source corpus.

Subfields: Control and Systems Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/889b27c087ea6807de98e66b34e33a91a70a7ec1

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

1. H. Jia
2. Martin Braun
3. Qiuwei Wu
4. Xiaolong Jin
5. Stefan Tenbohlen
6. Mohsen Nemati

In Electrical and Electronic Engineering

1. H. Jia
2. Xiaolong Jin
3. Martin Braun
4. Qiuwei Wu
5. Stefan Tenbohlen
6. Mohsen Nemati

Citations in the corpus

• Optimization of unit commitment and economic dispatch in microgrids based on genetic algorithm and mixed integer linear programming (2018, methodology): “introduce in [9] a building based virtual energy storage system model by utilizing the heat storage capability of the building, which is considered in a dynamic economic dispatch model of the microgrid.”
• Local flexibility markets: Literature review on concepts, models and clearing methods (2020, background): “Furthermore, a building can be modelled as a virtual energy storage system (VESS) [13]-[14], [60]-[61], which can provide demand-side flexibility by using the building’s heat inertia due to its thermal mass.”