Overview
Distributed Energy-Grid Optimization for Demand and Storage Utilisation involves the use of strategies and technologies to manage and optimize the generation, distribution, and use of energy in a distributed energy grid. This can help to improve the efficiency, sustainability, and resilience of the energy system.
Method
To address the complexities of the modern electric grid, particularly with the rise of distributed energy resources (DERs) and renewables. A potential solution should involve five key steps:
- Shift towards predictive and autonomous grid optimization
- - By using predictive capabilities and autonomous controls, utilities can make proactive decisions, employing adaptive algorithms and predictive analytics for increased efficiency.
- Maximize grid reliability
- - This step focuses on assessing weather events and preparing repair actions, leading to efficient outage response.
- Ramp up renewables and DERs
- - Utilities must manage and orchestrate these resources, providing end-to-end management.
- Form a connected data fabric
- - This step involves creating an end-to-end communication channel for managing data across the network. Seamless integration between systems ensures real-time data readiness.
- Predict intermittency for transmission and distribution
- - Managing DERs and renewables requires comprehensive load forecasting to reduce surprises for control operators.
At last, the method should empower utilities to optimize the modern grid with greater visibility, improved controls, and enhanced connectivity, enabling a move towards a Net-Zero future.
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