Storage applications and profile data

Several applications can be served by stationary storages systems. Some of these are visualized in the above figure and are also discussed in more detail in the text below. The requirements to serve the application tasks may differ vastly, not only in terms of energy requirement and service duration, as it is visualized in the figure, but also in terms of value generation, dispatch cycle, power duty, and others. 

We discuss the usage of storage systems (mainly lithium-ion batteries) in application-specific scenarios (e.g. self-consumption increase, peak-shaving, arbitrage trading) and evaluate the technical and economic performance of individual configurations. Comparative studies may aid to derive the best-suited storage technology and configuration for a given use case. Furthermore, multi-use and multi-storage scenarios are subject to the teams' research: we derive, how single storage systems may be dispatched to serve multiple applications simultaneously and how a pool of (vehicle-to-grid connected) storages may serve a combined use case.

We also provide standardized application profiles which may be downloaded free of charge. These may aid to test the system's behavior in an envisioned usage scenario and shall also aid to compare the performance of  EMS strategies developed by the scientific community.

Applications

Self-Consumption Increase

Usage of storage at residential or industrial sites in conjunction with local power generation, e.g. photovoltaics. Through suitable dispatch of the storage system, it is aimed to store excess energy produced through the local generation and use it, when local demand surpasses the on-site power generation.

Tools:

 Literature:

Frequency Regulation

Tools:

 Literature:

Peak-Shaving

Tools:

 Literature:

Spot Market Trading

Tools:

 Literature:

Power Boost

Tools:

Multi-Use

Tools:

 Literature:

Multi-Storage

Vehicle-to-Grid

Profiles

Open source profiles

Highlights & Features:

  • Reference Storage Profiles are simulated and uploaded as open-source data
  • Open-Source frequency and household load data is taken as input profiles for SimSES to create storage profiles
  • Applications of frequency containment reserve, self-consumption increase and industrial peak-shaving 
  • Within each application variances are identified by changing operation strategy, power electronics or clustering of profiles
  • Reference profile of set of storage profiles is deduced for each application using a developed Profile Analyzer Tool 
  • Profile Analyzer Tool calculates six specific characteristics for each profile and extracts the median profile

Applications:

Availability:

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