An adaptive load shedding methodology for renewable integrated power systems.

Area of Science:

• Electrical Engineering
• Power Systems Engineering
• Renewable Energy Integration

Background:

• Modern power systems increasingly integrate renewable energy sources, leading to complex stability issues regarding frequency and voltage.
• Conventional load-shedding strategies are insufficient to manage large-scale disruptions caused by renewable intermittency.
• Ensuring sustainable, pollution-free power generation necessitates advanced grid management techniques.

Purpose of the Study:

• To develop and validate an adaptive load-shedding scheme for modern power systems with significant photovoltaic (PV) generation.
• To minimize load shedding by utilizing Battery Energy Storage Systems (BESS) and intelligently selecting feeders based on stability parameters.
• To maintain system frequency and voltage stability within acceptable limits during large-scale disruption events.

Main Methods:

• A novel approach is proposed that rates load buses based on frequency changes, voltage stability, damping coefficients, and renewable energy penetration.
• Battery Energy Storage Systems (BESS) are integrated to reduce the required load shedding amount.
• An adaptive feeder selection mechanism dynamically chooses feeders based on the weighted importance of voltage and frequency stability components.

Main Results:

• The proposed scheme was tested on the IEEE 39 bus system using Python-scripted simulations under various scenarios of PV generation (250-1500 MW) and conventional generation loss (800-1000 MW).
• The methodology successfully maintained system frequency above the 49.10 Hz threshold across all tested scenarios.
• Minimal load shedding was achieved, demonstrating the effectiveness of the adaptive feeder selection and BESS integration.

Conclusions:

• The proposed methodology effectively enhances frequency stability in modern power systems with large-scale PV integration.
• Adaptive feeder selection, combined with BESS, provides a robust solution for managing grid stability during disruptions.
• This approach offers a sustainable and efficient way to handle the challenges posed by renewable energy sources in power grids.