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A new platform for testing TSO-DSO coordination schemes
12th IEEE PES PowerTech Conference A new platform for testing TSO-DSO coordination schemes Marco Rossi (RSE)
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Comparison of the national cases in a simulation environment and laboratory testing
Development and validation of a future scenario (2030) and simulation environment in order to reproduce the TSO-DSO interactions in the three national cases Elaboration of ad-hoc Cost Benefit Analysis methodology and selection of the TSO-DSO interactions with the highest potential Implementation of the simulation environment in the laboratory in order to test real equipment aimed at contributing in TSO-DSO interactions
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2030 EU reference scenarios
2030 Scenario Data European reference scenarios are processed in order to generate the system configurations and data to be used in simulation and laboratory studies 2030 EU reference scenarios Processing Simulation data
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2030 Scenario Data European reference scenarios are processed in order to generate the system configurations and data to be used in simulation and laboratory studies
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2030 Scenario Data Geographical allocation of the energy resources expected for 2030 Population growth Renewables expansion Exploitation of new electrical devices Industrial development
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2030 Scenario Data Mapping of the geographical information on the electricity network Distribution network
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Simulation blocks Physical layer Simulates the physical transmission and distribution networks, operation and connected devices Bidding and dispatching layer Converts flexible devices status and parameters into bids and distributes power set-points resulting from the market Market layer Runs the market clearing algorithms on the basis of the received bids and network constraints
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Simulation diagrams A B C D1 D2
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Simulation diagrams Coordination schemes with common market in which transmission and distribution resources participate A. Details on the exchanged information: used for the design of the ICT network and calculation of ICT costs (processed later by CBA)
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Simulation diagrams C. Transmission C. Distribution
Coordination schemes with separated markets: one for transmission and one for distribution resources C. Transmission C. Distribution
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Simulation approach The simulation will be performed by considering the selected scenario (how Italy, Denmark and Spain will evolve in 2030). Variations to the average scenarios will be introduced in order to evaluate the sensitivity of simulation results to scenario variations
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Calculating the costs and the benefits at system level
KPIs Lifecycle costs Overall system social welfare CO2 emissions System reliability Extra costs due to distribution investments Extra costs due to market power Socio-environmental costs of new lines Social welfare split (winner/loser zones and stakeholders with weighing) RES curtailment costs CO2 prices interval up to change merit order Risk driven vs. “social” rates for the ROI Core elements (typical) Experimental items (innovative) Sensitivity factors (enriching)
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…how can they benefit from an optimized TSO-DSO interaction?
Distributing value among actors: how to make it work …how can they benefit from an optimized TSO-DSO interaction?
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Tests on physical equipment for TSO-DSO interactions
Laboratory tests The SmartEST laboratory features: 1 MW lab for Smart Grid component tests and system integration Inverter tests Tests with multiple components Environmental tests Simulation and validation Research, design and validation environment for Smart Grid Component development Automation and communication Design and validation SmartEST Tests on physical equipment for TSO-DSO interactions
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Key products Validated simulation environment
(software modules + scenarios) Dedicated Cost Benefit Analysis approach Best TSO-DSO interaction patterns for each considered national case Guidelines on hardware utilization within the considered TSO-DSO schemes
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Marco Rossi Contact Information Affiliation: RSE S.p.A. Phone:
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