Abstract
A hybrid energy system, the combination of wind
turbines, PV panels and battery storage with
effective control mechanism, represents a
promising solution to the power fluctuation
problem when integrating renewable energy
resources (RES) into conventional power
systems. This paper proposes a model
predictive control (MPC)-based algorithm for
battery management in a hybrid wind/PV/battery
system to suppress the short-term power
fluctuation on the ‘minute’ scale. A case study
with data collected from a practical hybrid
system setup is used to demonstrate the
effectiveness of the proposed algorithm together
with a Monte Carlo simulation-based sensitivity
analysis. In addition to illustrating the
complementarity between the fluctuations of
wind power and PV power, the results prove the
proposed MPC algorithm is effective in
fluctuation suppression but sensitive to factors
such as forecast accuracy and the desired
range of power fluctuation.
| Original language | English |
|---|---|
| Title of host publication | Proceedings. The 4th International Conference on Microgeneration and Related Technologies (Microgen4) |
| Number of pages | 6 |
| Publication date | 2015 |
| Publication status | Published - 2015 |
| Event | 4th International Conference on Microgeneration and Related Technologies - Tokyo, Japan Duration: 28 Oct 2015 → 30 Oct 2015 Conference number: 4 http://microgen4.info/ |
Conference
| Conference | 4th International Conference on Microgeneration and Related Technologies |
|---|---|
| Number | 4 |
| Country/Territory | Japan |
| City | Tokyo |
| Period | 28/10/2015 → 30/10/2015 |
| Internet address |
