Name
Abstract | ||
|---|---|---|
The large-scale deployment of the Smart Grid paradigm will support the evolution of conventional electrical power systems
toward active, flexible and self-healing web energy networks composed of distributed and cooperative energy resources. In
a Smart Grid platform, the optimal coordination of distributed voltage controllers is one of the main issues to address. In
this field, the application of traditional hierarchical control paradigms has some disadvantages that could hinder their application
in Smart Grids where the constant growth of grid complexity and the need for massive pervasion of distribution generation
systems require more scalable, more flexible control and regulation paradigms. To try and overcome these challenges, this
paper proposes the concept of a decentralized non-hierarchal voltage regulation architecture based on intelligent and cooperative
smart entities. The distributed voltage controllers employ traditional sensors to acquire local bus variables and mutually
coupled oscillators to assess the main variables that characterize the operation of the global Smart Grid. These variables
are then amalgamated by a fuzzy inference system in order to identify proper control actions aimed at improving the grid voltage
profile and reducing power losses. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1007/s12652-010-0027-x | J. Ambient Intelligence and Humanized Computing |
Keywords | Field | DocType |
electric power system,voltage regulator,oscillations | Smart grid,Simulation,Computer science,Fuzzy logic,Electric power system,AC power,Local bus,Voltage regulation,Grid,Embedded system,Distributed computing,Scalability | Journal |
Volume | Issue | ISSN |
2 | 1 | 1868-5145 |
Citations | PageRank | References |
14 | 0.80 | 2 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| A. Vaccaro | 1 | 50 | 6.02 |
| A. F. Zobaa | 2 | 14 | 0.80 |