Periodic Reporting for period 1 - MNRG (GridEye application on optimal multi-energy system management and optimal grid reconfiguration as flexibility tools)
Periodo di rendicontazione: 2021-06-01 al 2023-05-31
Renewable energy resources and electrification of mobility are key solutions to reduce greenhouse gas emissions. Moreover, the wide penetration of renewable energy sources accelerates occupation in the EU, by job creation in different ‘green’ technologies. Aim behind the European Green Deal (COM(2019) 640 final) is to be the world’s first climate-neutral continent by 2050. However, their proper integration in a power grid encounters several challenges. For instance, the uncertain nature of renewable energy productions as well as stochastic consumptions of electric vehicles introduce remarkable intermittency to a distribution grid and results in bi-uncertain characteristics of both supply and demand sides.
One way to verify the secure grid operation within acceptable voltage and loading levels is to assess its required flexibility considering possible boundaries of uncertain variables. In this publication, a flexibility estimation method is proposed which is based on
the feasibility study of the uncertain space of load containing electric vehicles and photovoltaic powers. It allows evaluating the flexibility and lack of flexibility. In addition, the reconfiguration of a system including electrical and thermal energy with the objective of
maximizing the system flexibility is modeled well.
One way to verify the secure grid operation within acceptable voltage and loading levels is to assess its required flexibility considering possible boundaries of uncertain variables. In this publication, a flexibility estimation method is proposed which is based on
the feasibility study of the uncertain space of load containing electric vehicles and photovoltaic powers. It allows evaluating the flexibility and lack of flexibility. In addition, the reconfiguration of a system including electrical and thermal energy with the objective of
maximizing the system flexibility is modeled well.
In this report, the developed model for a multi-energy systems monitoring, control and management is provided. The flexibility of distribution grid is described as the capability of distribution grid to effectively cope with multiple uncertainties of grid operation and presented in the report. The proposed flexibility estimation methodology takes into account the feasible grid operation region and the uncertain region of load and photovoltaic powers. The main results included in the report are:
- The MNRG ensures the optimal operation with reduced losses and operation costs compared to situations where there is no optimality.
- Non-convex feasible operation region in different types of CHP units is formulated as a mixed integer linear formulation in the scheduling problem of multi-energy systems.
- The model can detect other factors like voltage limit violation regarding the grid constraints that limit the grid’s flexibility.
- The outcome of proposed model informs the grid operator regarding the time slots with sufficient and insufficient flexibility along with the value of insufficiency considering the uncertainty space.
-The simulation results for the cases considering and neglecting the reconfiguration ability of the grid confirms the improvement of grid flexibility after reconfiguration.
- The proposed model for the reconfiguration and also power flow is a linear and convex mathematical problem that can be solved efficiently with non-commercial solvers and the optimality of the solution is guaranteed.
During the action, the ER had undertaken several measures to communicate, disseminate and exploit the results. She had organized and talked about the findings of MNRG to a varied audience, ranging from the R&D team to commercial and sales team. The ER had organized several workshops within DEPsys and participated in several discussions with the R&D and engineering teams:
[S1]All about flexibility, Feb 2022, DEPsys commercial team
[S2]Feedback on CIRED 2022, Jun 2022, DEPsys R&D and engineering team
[S3]Flexibility and reconfiguration: Possible roles of DEPsys and GridEye, AUG 2022, DEPsys senior and middle management
- The MNRG ensures the optimal operation with reduced losses and operation costs compared to situations where there is no optimality.
- Non-convex feasible operation region in different types of CHP units is formulated as a mixed integer linear formulation in the scheduling problem of multi-energy systems.
- The model can detect other factors like voltage limit violation regarding the grid constraints that limit the grid’s flexibility.
- The outcome of proposed model informs the grid operator regarding the time slots with sufficient and insufficient flexibility along with the value of insufficiency considering the uncertainty space.
-The simulation results for the cases considering and neglecting the reconfiguration ability of the grid confirms the improvement of grid flexibility after reconfiguration.
- The proposed model for the reconfiguration and also power flow is a linear and convex mathematical problem that can be solved efficiently with non-commercial solvers and the optimality of the solution is guaranteed.
During the action, the ER had undertaken several measures to communicate, disseminate and exploit the results. She had organized and talked about the findings of MNRG to a varied audience, ranging from the R&D team to commercial and sales team. The ER had organized several workshops within DEPsys and participated in several discussions with the R&D and engineering teams:
[S1]All about flexibility, Feb 2022, DEPsys commercial team
[S2]Feedback on CIRED 2022, Jun 2022, DEPsys R&D and engineering team
[S3]Flexibility and reconfiguration: Possible roles of DEPsys and GridEye, AUG 2022, DEPsys senior and middle management
The activities were not be aimed to medical/human research nor to animal research, and the work associated with the project will not harm the environment. On the contrary, the activities in the framework of the MNRG project lead to benefits that are good for the society, communities as it aims to contribute towards improving the flexibility in multi-energy systems. Using the proposed mechanism, prevents over/ under voltage un-stabilities, congestion management, controls CO2's emissions and increases the energy efficiency for a sustainable and efficient power system, through the contribution for an effective development of renewable energy resources by stockholders, as envisaged by the EU. Therefore, the proposed MNRG enhances the comfort level of end users and reliability of DSOs.