Modelling the Microgrid and Its Parameter Estimations Considering Fading Channels
Open Access
- 7 June 2017
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Access
- Vol. 5, 10953-10958
- https://doi.org/10.1109/access.2017.2712790
Abstract
As the electricity demand continues to grow and renewable energy resources are incorporated into the grid, an effective dynamic state estimation is required for monitoring and grid synchronization. This paper proposes a microgrid state estimation approach considering the unreliable communication channels. Particularly, the renewable microgrid incorporating distributed energy resources, such as solar panels, are represented as a state-space linear model. Then, the wireless sensor network is adopted to sense the microgrid states. For long-distance transmission, we propose an innovative smart grid infrastructure, which is easy to design and offers a reliable two-way communication. In this infrastructure, the modulated signal is transmitted over an unreliable channel, which causes signal distortions. After demodulation and dequantization, the received signal at the energy management system is used the fading Kalman filter algorithm. Using the tunable forgetting factor in the predicted error covariance step, this algorithm aims to minimize the estimation errors so the estimated states reflect the true system states. Simulations results indicate that the developed approach estimates the system states within 0.25 seconds.Keywords
This publication has 25 references indexed in Scilit:
- Controlling the renewable microgrid using semidefinite programming techniqueInternational Journal of Electrical Power & Energy Systems, 2017
- Distributed Generation Monitoring for Hierarchical Control Applications in Smart MicrogridsIEEE Transactions on Power Systems, 2016
- State estimation in electric power systems using belief propagation: An extended DC modelPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2016
- State Estimation Oriented Wireless Transmission for Ubiquitous Monitoring in Industrial Cyber-Physical SystemsIEEE Transactions on Emerging Topics in Computing, 2016
- Robust Data-Driven State Estimation for Smart GridIEEE Transactions on Smart Grid, 2016
- Estimation of the State Variables and Unknown Input of a Two-Speed Electric Vehicle Driveline Using Fading-Memory Kalman FilterIEEE Transactions on Transportation Electrification, 2016
- A Modified RLS Algorithm for Online Estimation of Low-Frequency Oscillations in Power SystemsIEEE Transactions on Power Systems, 2015
- Particle Filter Approach to Dynamic State Estimation of Generators in Power SystemsIEEE Transactions on Power Systems, 2014
- Stability Analysis of Networked Control in Smart GridsIEEE Transactions on Smart Grid, 2014
- Research on Anti-Error Performance of Speed and Flux Estimator for Induction Motor Using Robust Reduced-Order EKFIEEE Transactions on Industrial Informatics, 2012