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Demand-side management in Grid-Connected Energy Storage System using Fuzzy Logic Control

Demand-side management in Grid-Connected Energy Storage System using Fuzzy Logic Control


Introduction:

This section outlines the integration of solar PV, battery storage, and the grid with load management logic to optimize energy usage and ensure efficient operation throughout the day. The system includes residential and commercial loads, with load management decisions driven by time-of-day considerations and battery state of charge (SOC).

Load Management Logic:

  1. Time-of-Day Categorization: The time of day is categorized into different periods, including off-peak, normal, peak, and evening peak hours. These categories dictate the mode of operation for battery and load management decisions.

  2. Battery Control Logic: A personalized model receives inputs of time of day and battery SOC. Based on predefined rules and logic, the model determines the mode of operation for the battery, including charging mode, discharging mode, or ideal mode. Charging mode is activated when the battery receives positive power command, while discharging mode occurs with a negative power command. Ideal mode implies no charging or discharging.

  3. Load Management Strategy: Load management decisions are made based on the time of day and battery state. During off-peak hours, the battery may be charged from the grid. During peak hours, the battery may discharge to support load demand, while during normal hours, the system operates based on predefined rules.

System Components:

  1. Battery System: The battery system includes bi-directional converters and a battery controller. The controller receives power commands based on load management logic and adjusts the battery operation accordingly, either charging from the grid or supplying power to loads.

  2. Solar PV and Grid Connection: Solar PV panels generate power, which can be supplemented by grid power or stored in the battery. The grid connection allows for bidirectional power flow, enabling energy exchange based on demand and supply conditions.

  3. Load Management Blocks: Load management blocks receive inputs from the load profile and battery control logic. They determine the power allocation to different loads based on the current operating mode and time-of-day considerations.

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