Track One
1. Track Title—Distributed Energy
Systems Operation and Prediction control
2. Organizers:
Chair:Fangyuan Si，(Beijing Jiaotong University，Associate
Professor
Co-chair:Kangping Li，(Shanghai Jiao Tong University)
Co-chair:Peng Lu，(China Agricultural University)
3. Abstract:
Due to the obvious intermittent and fluctuating nature of
distributed generation systems and their poor grid
performance, as the scale of distributed renewable energy
generation continues to expand, its penetration rate in the
grid is increasing, and its impact on the grid will
gradually expand from local to local. The inherent
stochastic fluctuation of distributed generation systems,
combined with the decoupling property from the grid and the
time-varying nature of multiple time scales under the power
electronic structure, make the new distributed energy
sources with an ultra-high penetration rate have a
significant impact on the voltage, frequency, and even power
angle stability of the grid. Therefore, the existing methods
for assessing the local consumption capacity of distributed
renewable energy in distribution grids have not fully
considered the means of cooperation, constraints, and power
refinement prediction results of multi-voltage distribution
grids, it is important to study multi-dimensional
distributed renewable energy consumption models applicable
to different forms of multi-level distribution grid
application scenarios. Furthermore, it is important to
clarify the influence of distribution network topology, line
parameters, and future planning of various types of loads on
the ability to accept distributed renewable energy in order
to study the multi-dimensional distributed renewable energy
consumption models under multi-level distribution networks.
4. Content
Topics
We seek original completed and unpublished work not
currently under review by any other
journal/magazine/conference. Topics of interest include, but
are not limited to:
Distributed photovoltaic/wind power adaptive power
prediction technology
Distributed photovoltaic/wind power region dynamic
partition method
Factors affecting the acceptability of distributed
photovoltaic/wind power
Distributed photovoltaic/wind power admissible capacity
calculation methodology
Multi-level distribution network distributed
photovoltaic/wind power multi-dimensional consumption model