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Collaborative Smart Grids
This project aims to increase the benefit for all participants in smart grids. For that, a novel demand response scheme will be derived to optimize the interests of all stakeholders in the supply chain of electrical energy.
Keywords: Prosumers, Demand Response, Stakeholders in the Electricity grid
The supply chain of smart grids, from a generation stage to a consumption stage, contains multiple players, each with different functional interests.
Currently consumers, producers, grid operators or energy providers interact in a very restricted way. In a setup where the installed flexibilities of consumers and producers could be machted better to the needs of all players, efficiency gains are expected. If the collaboration between the players were increased, the overall benefit would lead to increased utilization of present flexibilities in the distribution grid, to decrease the need for (mostly fossil) backup power plants, leading to higher penetration of renewable energy sources in the grid.
The supply chain of smart grids, from a generation stage to a consumption stage, contains multiple players, each with different functional interests. Currently consumers, producers, grid operators or energy providers interact in a very restricted way. In a setup where the installed flexibilities of consumers and producers could be machted better to the needs of all players, efficiency gains are expected. If the collaboration between the players were increased, the overall benefit would lead to increased utilization of present flexibilities in the distribution grid, to decrease the need for (mostly fossil) backup power plants, leading to higher penetration of renewable energy sources in the grid.
This student project is part of an SFOE funded project. This project aims to increase the benefit for all participants in smart grids. For that, a novel demand response scheme will be derived to optimize the interests of all stakeholders in the supply chain of electrical energy.
An interest centered description of smart grid participants needs to be developed. Based on this, the optimal behavior of each agent is derived and evaluated. The information flow between the agents (e.g. from prosumer to DSO) is constrained to only the necessary content.
Simulations for given load and production profiles will be carried out before the derived demand response scheme is implemented in real life on the NEST demonstrator and distribution grids in Switzerland.
Tasks
1. Literature review on current Smart Grid setups
2. Formulation of the Interest/Motivations of each participant in Smart Grids
3. Derive necessary information flow between participants
4. Simulations for given load patterns (comparison to current control)
5. (optional) Implementation of demand response scheme on real life loads (i.e. NEST demonstrator1)
This student project is part of an SFOE funded project. This project aims to increase the benefit for all participants in smart grids. For that, a novel demand response scheme will be derived to optimize the interests of all stakeholders in the supply chain of electrical energy. An interest centered description of smart grid participants needs to be developed. Based on this, the optimal behavior of each agent is derived and evaluated. The information flow between the agents (e.g. from prosumer to DSO) is constrained to only the necessary content.
Simulations for given load and production profiles will be carried out before the derived demand response scheme is implemented in real life on the NEST demonstrator and distribution grids in Switzerland.
Tasks 1. Literature review on current Smart Grid setups 2. Formulation of the Interest/Motivations of each participant in Smart Grids 3. Derive necessary information flow between participants 4. Simulations for given load patterns (comparison to current control) 5. (optional) Implementation of demand response scheme on real life loads (i.e. NEST demonstrator1)
Dr. Bratislav Svetozarevic, Urban Energy Systems Lab, Swiss Federal Laboratories for Materials Science and Technology - Empa, Überlandstrasse 129, 8600 Dübendorf, Switzerland
ehub group: https://www.empa.ch/web/s313/ehub-group
bratislav.svetozarevic@empa.ch
Dr. Bratislav Svetozarevic, Urban Energy Systems Lab, Swiss Federal Laboratories for Materials Science and Technology - Empa, Überlandstrasse 129, 8600 Dübendorf, Switzerland