DSIMA: A testbed for the quantitative analysis of interaction models within distribution networks
Authored by S Mathieu, Q Louveaux, D Ernst, B Cornelusse
Date Published: 2016
DOI: 10.1016/j.segan.2015.11.004
Sponsors:
Department of Energy and Sustainable Building
Platforms:
Python
Model Documentation:
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Abstract
This article proposes an open-source testbed to simulate interaction
models governing the exchange of flexibility services located within a
distribution network. The testbed is an agent-based system in which the
distribution system operator, the transmission system operator, producers and retailers make their decisions based on mixed-integer
linear programs. This testbed helps to highlight the characteristics of
an interaction model, the benefits for the agents and eases the
detection of unwanted or abusive behaviors which decreases the welfare.
The testbed is implemented in Python and the optimization problems are
encoded in the modeling language ZIMPL. A web interface is coupled with
an instance generator using macroscopic parameters of the system such as
the total power production. This testbed is, therefore, well suited to
test the implemented interaction models on various scenarios and to
extend the implementation to other models. Five interaction models
developed with industrial partners are simulated over a year on a 75-bus
test system. Simulations show that interaction models relying on active
network management, as they have been developed, lead to substantial
welfare even though they suffer from a lack of coordination between the
DSO and the TSO. A conservative interaction model restricting grid users
to an access range that is computed ahead of time to prevent any
congestion, avoids shedding distributed generation but considerably
restrains the amount of distributed production. (C) 2015 Elsevier Ltd.
All rights reserved.
Tags
Demand-side management
Challenges
Power engineering applications
Multiagent
systems