Register now After registration you will be able to apply for this opportunity online.
This opportunity is not published. No applications will be accepted.
Demand side management interactions
Different levels of Demand side management exist, which each different levels of knowledge about the demand side and possibilities to interact. This Master Thesis will investigate the impact and benefits of different interacation levels of the Smart Grid ready framework.
Keywords: Demand side management
Smart Grid ready
Demand side privacy
Information propagation
**Motivation**
Digitalized technologies established themselves in our society more
and more. Whereas consumer electronics are well established in our society, the
reliability oriented power system domain focuses more on industry grade components.
These cover measuring consumption at the demand side (e.g. via Smart Meters) or
communication of actuation signals (e.g. via ripple control receivers and on-off relays).
Demand side flexibility is currently only being used to reduce local energy cost, but
is by no means exploited fully. However, this local flexibility can be utilized not only
by the technology owner, but also the distribution grid operator or energy providers.
One scheme which tries to provide technological standards and definitions to fos-
ter such flexibility utilization is ”Smart Grid ready” (SGready, [1,2]). Several levels of
interaction between end users the local DSO are defined. Pointwise analyses of the
contribution of individual technologies exist (e.g. [3]), however a systematic assess-
ment is still to be investigated.
**Description**
The aim of this project is twofold: i) review DSO-prosumer interaction
schemes incl. SGready, ii) setup and execute representative building system simula-
tions interacting in a SGready context.
The tasks that will be carried out in this project are:
1. Investigate what non-local use cases to consider.
2. Investigate what building system settings to consider.
3. Define what requirements exist on building capabilities with respect to the different SGready levels.
4. Quantify what impact is generated in simulation.
5. Optionally: Implementation and execution of a test case NEST.
6. Analyze the results and write a report.
**Motivation** Digitalized technologies established themselves in our society more and more. Whereas consumer electronics are well established in our society, the reliability oriented power system domain focuses more on industry grade components. These cover measuring consumption at the demand side (e.g. via Smart Meters) or communication of actuation signals (e.g. via ripple control receivers and on-off relays). Demand side flexibility is currently only being used to reduce local energy cost, but is by no means exploited fully. However, this local flexibility can be utilized not only by the technology owner, but also the distribution grid operator or energy providers. One scheme which tries to provide technological standards and definitions to fos- ter such flexibility utilization is ”Smart Grid ready” (SGready, [1,2]). Several levels of interaction between end users the local DSO are defined. Pointwise analyses of the contribution of individual technologies exist (e.g. [3]), however a systematic assess- ment is still to be investigated.
**Description** The aim of this project is twofold: i) review DSO-prosumer interaction schemes incl. SGready, ii) setup and execute representative building system simula- tions interacting in a SGready context. The tasks that will be carried out in this project are: 1. Investigate what non-local use cases to consider. 2. Investigate what building system settings to consider. 3. Define what requirements exist on building capabilities with respect to the different SGready levels. 4. Quantify what impact is generated in simulation. 5. Optionally: Implementation and execution of a test case NEST. 6. Analyze the results and write a report.
The goal of this thesis is to quantify the impact of different SGready levels on building
energy systems and determine the sensitivities around identified impact drivers.
The goal of this thesis is to quantify the impact of different SGready levels on building energy systems and determine the sensitivities around identified impact drivers.