AEL-SGSB 智能电网中电池储能的应用

5.5.- 能源储备
SMART GRIDS BATTERY STORAGE APPLICATION - AEL-SGSB

創新系統

The Smart Grids Battery Storage Application, "AEL-SGSB", has been designed by EDIBON to study cutting-edge energy storing systems with smart battery and grid inverter.

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扩展

ICAI

交互式计算机辅助教学软件

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一般說明

The Smart Grids Battery Storage System Application, "AEL-SGSB", has been designed by EDIBON to study cutting-edge energy storing systems with smart battery and grid inverter. This grid inverter has the capacity to provide energy to the grid and it can work providing energy to the user and the battery. These inverters are known as Hybrid Inverters and they are the future in the Smart Storage and Energy Management Systems.

This application provides the user with the knowledge and the essential skills about the smart storage energy systems with the aid of modules such as grid inverter, battery, variable loads, network analyzer and double bus bar for energy distribution. For this purpose, the systems includes a specific manual explaining, at theoretical level, the relative aspects to the components of this system such as the battery charge control and automatic energy management by the hybrid inverter.

This application can work together other power generation sources to study the energy mix, their advantages and problems developed when alternate sources are interconnected into a power system.

練習和指導練習

手册中包含的指导实践练习

  1. Hybrid Inverter Configuration.
  • Objective: Learn how to access and set up the operational parameters of a real hybrid inverter.
  • Tasks:
  • Configure charge and discharge power limits.
  • Define the battery’s maximum State of Charge (SOC).
  • Monitor inverter behavior under different energy scenarios.
  1. Battery Management and SOC Analysis.
  • Objective: Understand the battery charging and discharging cycles and their effect on system stability.
  • Tasks:
  • Monitor SOC variation over time.
  • Evaluate energy flows during charge/discharge events.
  • Test inverter cut-off thresholds based on SOC.
  1. Response to Grid Blackout and System Recovery.
  • Objective: Simulate a blackout and analyze how the system transitions to island mode and recovers automatically.
  • Tasks:
  • Trigger a grid disconnection using the virtual grid module.
  • Observe the system’s transition to battery backup mode.
  • Restore grid connection and evaluate reconnection behavior.
  1. Zero Injection Control Using a Smart Meter.
  • Objective: Configure the system to prevent energy injection into the grid using dynamic power control.
  • Tasks:
  • Interface the inverter with a smart meter.
  • Set the injection limit to 0 W.
  • Evaluate inverter regulation and power limitation performance.
  1. Measurement and Analysis of Power Flows.
  • Objective: Use the built-in analyzer to measure real-time energy flows.
  • Tasks:
  • Measure input/output AC power.
  • Identify consumption from load, grid, and battery.
  • Analyze energy balance and system efficiency.
  1. Simulation of Solar Panel Behavior with a Programmable Power Supply.
  • Objective: Emulate PV generation using an adjustable current source.
  • Tasks:
  • Configure the PSPS/A module to simulate a PV array.
  • Define solar parameters: Voc, Isc, MPP.
  • Study the inverter’s response under different solar conditions.
  1. Effect of Irradiance Variation on Power Production.
  • Objective: Analyze how changes in irradiance affect energy generation.
  • Tasks:
  • Simulate different times of the day by adjusting the PSPS/A.
  • Record variations in PV output power.
  • Relate power drop or increase to irradiance settings.
  1. MPPT Tracking Verification.
  • Objective: Verify the inverter’s ability to track the Maximum Power Point (MPPT) under changing conditions.
  • Tasks:
  • Introduce step changes in irradiance and observe MPPT stabilization.
  • Record efficiency of tracking.
  • Compare actual MPP vs expected values.
  1. Several other exercises can be done and designed by the user.

与该单位进行更多实际操作

  1. Several other exercises can be done and designed by the user.

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