Smart Grid Use Cases
A list of applications, scope, and descriptions in the Smart Grid ecosystem.
International Use Cases
Showing 1–15 of 149 use cases
Active power flexibility
Objective(s) • Demonstrate congestion management for maintaining capacity limits of the grid • Maintain frequency stability
Adaptive Transmission Line Protection
The utility needs to configure the protection of a transmission line that is mutually coupled with one or more other transmission lines on the same or different voltage levels, on the same or different towers as the protected line. It is important to also keep in mind that usually these lines are not transposed and may have unsymmetrical configuration.
AGC Frequency Control
The AGC Load Frequency control subsystem receives new data values from the Data Acquisition subsystem (i.e. SCADA), calculates an Area Control Error and the required changes in generating unit set points. Set point controls are sent through the Data Acquisition subsystem to the power stations. The generating unit states can be made available for other applications.
Aggregate energy data
Data Exchange Platforms can support data aggregation by transporting aggregated data from a data source to an application. Aggregation itself takes place at data source. Aggregated data may be useful for different applications (services) – e.g. related to bench marking, national statistics, imbalance reporting. Also, aggregated data would not require consent (permission rights) for personal data or commercially sensitive data.
AMI Network (AMI Head-End to/from Smart)
Advanced Metering Infrastructure (AMI) is a two-way communication system for all devices in the distribution space, offering flexible, general-purpose communication. It provides advanced energy monitoring, data collection for tariff programs, and load management controls. AMI enables consumers to better manage energy usage and allows for more efficient grid operation. These capabilities improve both cost efficiency and energy delivery.
Ancillary Services (Grid-connected)
A microgrid usually consists of small generation units and responsive loads. The units can be PV panel, wind turbine, CHP (Combined heat and Power), fuel cell, microturbine and diesel generators. The responsive loads can be interruptible loads or price responsive loads. Apart from participating in energy markets, microgrid can also take part in the ancillary service market and maximize its profit, precisely because of the coordinated control of generation and flexible loads in it.
Anonymize energy data
Anonymization of personally identifiable data.
Balancing Service Provider (BSP) on the Flexibility Platform
BSP registration on the flexibility platform BSP verification of the technical capabilities of FSP and FSPA Creation of a scheduling unit by the BSP based on selected FSP and FSPA resources Testing the scheduling unit and confirming that the BSP and this scheduling unit meet the conditions set out in the Terms and Condition Related to Balancing Confirmation by TSO of BSP`s ability to provide balancing services based on a scheduling unit made up of FSP and FSPA resources
Balancing services for TSO - Central Market Model
The objective is to reduce balancing costs (TSO perspective), while avoiding unforeseen congestion problems at the distribution level
BEMS control of DERs and HVAC equipment in a commercial building which enables islanding operation and demand response
BEMS control of DERs and HVAC equipment in a commercial building which enables islanding operation and demand response.
Building self-consumption employing Virtual Energy Storage optimisation
Objective(s) 1. Reduce residential energy bills through increase self- consumption of renewable energy 2. Share of total consumption is covered by local green energy.
Collect energy data
Collection of different types of energy related data from data providers to data hubs
Congestion Management
Objective(s) * To support the TSO in using the flexibility provided by resources connected to the distribution system for congestion management, while respecting distribution system constraints * To ensure an inclusive and non-discriminatory access to the market for all agents that provide grid services * To empower coordination between system operators * To activate flexibility to solve congestion in the distribution grid
Congestion management - Distributed Market Model
Objective(s) • Local and regional DSOs meets grid needs with a market opportunity • In addition, the flexibility provider wants to meet financial goals • Local and regional DSOs want to give customers opportunity to optimize their resources
Congestion management by DSO through operation of LFM to increase DER penetration
To provide flexibility to DSO through the Local Flexibility Market according to DSO`s requirements. As a final result, foreseen congestion has been reduced or eliminated.
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