Task 4: Advanced managing strategies for multiple charging
requests in an electrical grid (The “smart” approach).
In task 4, we analysed the
effectiveness of smart strategies in which the charging processes of each user
are scheduled on the basis of a more sophisticated priority criterion rather
than simply considering only the arrival time, and the charging rate of each
user is adapted to the grid load condition during the charging process.
We firstly considered the
following priority and charging rate assignment functions:
The priority function (1) is
formulated to assign priority to the users on the basis of both the amount of
power required and the electricity rate they are disposed to pay. The influence
of each of these aspects (power required and electricity rate) on determining
the user priority can be adjusted by tuning the weighting coefficients a and b,
with a+b=1.
The
charging rate assignment function (2)
consists in distributing the energy required by each user over the entire time
period available before the user leaves the system.
Since the energy still
required and the time available for each user change during the process, the
implementation of the smart strategy requires a “frequent” communication about
the user state of charge, and the updating of the priority and charging rate at
regular intervals. The duration of these intervals is indicated as time
resolution. In this task, we used a time
resolution of 0.25 h.
Task 5: try the effectiveness of your own advanced managing strategy.
In this task we carried out several simulations by introducing different smart strategies. In particular, we experimented different ways of assigning the priority of the users and different time resolution values.
Task 6: Large scale scenario.
In this final task we evaluated the effectiveness of the different
strategies previously analyzed in a large-scale scenario in which several grid
nodes are considered. We considered different Uniform and Gaussian profiles for
the electricity rate and the arrival and departure times of the users.
Valuable for information.. Is there any further reading you would recommend on this?
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