State-of-Charge Balance Using Adaptive Droop Control for Distributed Energy Storage Systems in DC Microgrid Applications
By Xiaonan Lu, Kai Sun, Josep M. Guerrero, Juan Carlos Vasquez, Lipei Huang. IEEE transactions on industrial electronics (1982. Print), 2014
706 citations recorded by the source corpus.
Subfields: Control and Systems Engineering, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/9a8adcbe46006e0f71afa118f203d3ccb44e61c9
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
- Fahad Alismail
- Thomas Morstyn
- Vassilios G. Agelidis
- Branislav Hredzak
- Josep M. Guerrero
- Juan Carlos Vasquez
- Qobad Shafiee
- Kai Sun
In Electrical and Electronic Engineering
- Fahad Alismail
- Thomas Morstyn
- Vassilios G. Agelidis
- Branislav Hredzak
- Josep M. Guerrero
- Juan Carlos Vasquez
- Qobad Shafiee
- Kai Sun
Citations in the corpus
- Energy Management and Optimization Methods for Grid Energy Storage Systems (2018, background): “Other examples of primary control approaches include adaptive droop control [125] and the use ofMPC for secondary control and hysteresis control for primary control of hybrid power sources [126].”
- Hierarchical Control for Multiple DC-Microgrids Clusters (2014, background): “In [10], a SOC dependent function is introduced only for discharging mode of ESSs inside a MG, while two separate functions have been presented for both charging and discharging mode of battery according to its capacity and the SOC in [11].”
- Control Strategies for Microgrids With Distributed Energy Storage Systems: An Overview (2018, methodology): “The rate of SoC balancing can be controlled by applying an exponent to the value used to weight the ES system droop coefficient [47], [48].”
- DC Microgrid Planning, Operation, and Control: A Comprehensive Review (2021, methodology): “In one hand, the integration of several energy storage devices such as batteries, supercapacitors can increase the reliability of DC microgrids to a good extent, on the other hand, the control issues become complex for such case [15], [16].”
- Double-Quadrant State-of-Charge-Based Droop Control Method for Distributed Energy Storage Systems in Autonomous DC Microgrids (2015, methodology): “Power sharing between different interfacing converters is a key problem in the control system design of microgrids [4]–[8], [11], [14]–[16].”
- Control Techniques in AC, DC, and Hybrid AC–DC Microgrid: A Review (2018, neutral): “dc microgrid is proposed in [92].”
- A Decentralized Dynamic Power Sharing Strategy for Hybrid Energy Storage System in Autonomous DC Microgrid (2017, background): “As droop coefficient is normally much larger than line resistance [23], the line impedance can be neglected.”