Enhanced Grid Stability and Power Management in Nova Scotia through AI-Driven Autonomous Voltage Control

This project presents an innovative framework to tackle grid instability challenges arising from renewables integration. Using advanced multi-agent reinforcement learning (MARL) technology, it introduces an autonomous, decentralized system capable of managing grid stability in real time. The framework integrates advanced software tools for high-fidelity grid simulations and custom MARL algorithms, with the objective of enabling cooperative control for optimal grid stability. In addition, the system incorporates real-time sensors, reactive power compensators, inverters, and grid control devices to enable seamless interaction between software algorithms and physical grid components. This novel framework overcomes the limitations of manual controls and static systems, creating a responsive infrastructure that evolves with renewables fluctuations.

As an industry partner, EverWind Fuels, a leading renewable energy company in Nova Scotia, will provide invaluable real-world datasets to support the testing and optimization of high-fidelity simulation environments. These datasets will enable the proposed system to effectively address high- frequency fluctuations and seasonal variability in wind power generation. Additionally, this project will test the hardware-in-the-loop interactions between the MARL model and physical components (including inverters, reactive power compensators, and real-time sensors) using EverWind’s facilities in Point Tupper. This real-world validation ensures seamless integration of software algorithms with hardware operations, optimizing grid stability and performance under diverse and dynamic conditions.

Expected outcomes:

• Develops a real-time, AI-based system to enhance grid stability and power management.
• Creates a responsive system adaptable to various grids integerated with renewables, supporting large scale deployment.
• Conducts a hardware-in-the-loop testing with EverWind Fuels partnership to ensures the proposed framework readiness for commercialization.
• Delivers a commercial product suitable for diverse grid environments worldwide.
• Reduces operational costs and greenhouse gas emissions, promoting a sustainable energy future.