Name
Abstract | ||
|---|---|---|
This paper proposes a novel approach to predict power frequency by applying a state-space model to describe the time-varying nature of power systems. It introduces the Expectation maximization (EM) and prediction error minimization (PEM) algorithms to dynamically estimate the parameters of the model. In this paper, we discuss how the proposed models can be used to ensure the efficiency and reliability of power systems in Frequency Monitoring Network (FNET), if serious frequency fluctuation or measurement failure occur at some nodes; this is achieved without requiring the exact model of complex power systems. Our approach leads to an easy online implementation with high precision and short response time that are key to effective frequency control. We randomly pick a set of frequency data for one power station in FNET and use it to estimate and predict the power frequency based on past measurements. Several computer simulations are provided to evaluate the method. Numerical results showed that the proposed technique could achieve good performance regarding the frequency monitoring with very limited measurement input information. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/SmartGridComm.2013.6687942 | SmartGridComm |
Keywords | Field | DocType |
power system control,expectation-maximisation algorithm,real time prediction,frequency control,parameter estimation,prediction error minimization algorithms,frequency monitoring network,power system frequency,state space approach,frequency data,power system simulation,expectation maximization,power systems reliability,power system measurement,power system reliability,fnet | FNET,Power system simulation,Electric power system,Response time,Real-time computing,Automatic frequency control,Engineering,State space,Power station,Effective frequency | Conference |
ISSN | Citations | PageRank |
2373-6836 | 3 | 0.51 |
References | Authors | |
6 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jin Dong | 1 | 24 | 6.94 |
| Xiao Ma | 2 | 52 | 7.33 |
| Seddik M. Djouadi | 3 | 216 | 42.08 |
| Husheng Li | 4 | 902 | 94.77 |
| Phani Teja Kuruganti | 5 | 22 | 4.33 |