A Centralized Energy Management System for Isolated Microgrids
By Daniel E. Olivares, Claudio A. Cañizares, Mehrdad Kazerani. IEEE Transactions on Smart Grid, 2014
606 citations recorded by the source corpus.
Subfields: Control and Systems Engineering, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/ad6c02d96bea9b8306dcddb9d971649a401f58bf
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
- Thomas Morstyn
- Malcolm Duncan McCulloch
- Vassilios G. Agelidis
- Branislav Hredzak
- Josep M. Guerrero
- Peng Wang
- Jinjian Wang
- Cheng Wang
In Electrical and Electronic Engineering
- Thomas Morstyn
- Malcolm Duncan McCulloch
- Vassilios G. Agelidis
- Branislav Hredzak
- Josep M. Guerrero
- Nian Liu
- Peng Wang
- Cheng Wang
Citations in the corpus
- A Multiagent-Based Hierarchical Energy Management Strategy for Multi-Microgrids Considering Adjustable Power and Demand Response (2018, background): “The capital cost of BESS is an important issue in the planning phase optimization, but in day-ahead scheduling capital cost is not considered generally [3], [23].”
- Energy Sharing Management for Microgrids With PV Prosumers: A Stackelberg Game Approach (2017, background): “The MGO minimizes the cost of both distributed energy resources (DERs) and the purchasing energy from the utility grid, whereas the end users usually act as passive entities which are supplied by the microgrid [4], [5].”
- A Two-Layer Energy Management System for Microgrids With Hybrid Energy Storage Considering Degradation Costs (2018, methodology): “The centralized EMS structure in [11] with the same solver of the proposed algorithm is tested as well.”
- Multiclass Energy Management for Peer-to-Peer Energy Trading Driven by Prosumer Preferences (2019, background): “This will be the case, since for any solution with both B di and B (t) ci greater than zero, there is a lower cost feasible solution with one equal to zero, and the other at a smaller value [9].”
- Control Strategies for Microgrids With Distributed Energy Storage Systems: An Overview (2018, background): “In [95], mixed integer linear programming and nonlinear programming are combined to solve the DOPF problem for a microgrid with distributed ES systems, accounting for on/off decisions for distributed generation sources.”
- Computational optimization techniques applied to microgrids planning: A review (2015, background): “Cañizares search for a proper dispatch of the energy power and storage units, designing a centralized energy management system in [93].”