Name
Abstract | ||
|---|---|---|
The use of “Electric Springs” is a novel way of distributed voltage control while simultaneously achieving effective demand-side management through modulation of noncritical loads in response to the fluctuations in intermittent renewable energy sources (e.g., wind). The proof-of-concept has been successfully demonstrated on a simple 10-kVA test system hardware. However, to show the effectiveness of such electric springs when installed in large numbers across the power system, there is a need to develop simple and yet accurate simulation models for these electric springs which can be incorporated in large-scale power system simulation studies. This paper describes the dynamic simulation approach for electric springs which is appropriate for voltage and frequency control studies at the power system level. The proposed model is validated by comparing the simulation results against the experimental results. Close similarity between the simulation and experimental results gave us the confidence to use this electric spring model for investigating the effectiveness of their collective operation when distributed in large number across a power system. Effectiveness of an electric spring under unity and non-unity load power factors and different proportions of critical and noncritical loads is also demonstrated. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/TSG.2014.2319858 | Smart Grid, IEEE Transactions |
Keywords | Field | DocType |
demand side management,frequency control,voltage control,demand-side management,distributed voltage control,dynamic simulation approach,electric spring dynamic modeling,frequency control,intermittent renewable energy sources fluctuations,noncritical load modulation,nonunity load power factors,Demand side management,electric springs,reactive power control | Base load power plant,Voltage,Power control,Voltage optimisation,Power system simulation,Electric power system,Control engineering,Electronic engineering,Voltage regulation,Engineering,Dynamic simulation | Journal |
Volume | Issue | ISSN |
5 | 5 | 1949-3053 |
Citations | PageRank | References |
5 | 0.53 | 5 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Nilanjan Ray Chaudhuri | 1 | 15 | 5.52 |
| Chi Kwan Lee | 2 | 210 | 24.11 |
| B. Chaudhuri | 3 | 111 | 16.05 |
| Ron Hui | 4 | 228 | 40.12 |