Bidding Strategy for Microgrid in Day-Ahead Market Based on Hybrid Stochastic/Robust Optimization

By Guodong Liu, Yan Xu, Kevin Tomsovic. IEEE Transactions on Smart Grid, 2016

438 citations recorded by the source corpus.

Subfields: Control and Systems Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/74e8e84f9fc485790726482c79e44dc0d43caa86

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. Qiuwei Wu
3. Xiaolong Jin

In Electrical and Electronic Engineering

1. H. Jia
2. Xiaolong Jin
3. Qiuwei Wu

Citations in the corpus

• Local flexibility markets: Literature review on concepts, models and clearing methods (2020, methodology): “An optimal bidding method for a microgrid in day-ahead energy market was proposed in [182], in which a hybrid stochastic and robust optimization model was developed to minimize the expected operational cost of the microgrid.”