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Use agentic learning for distributed energy management

Overview

Modular decentralized energy resources (DER), ranging from utility-owned co-generation plants to small-scale residential units, provide energy close to the point of load. This reduces transmission congestion and distribution losses.

Infosys Utilities seamlessly integrates distributed generation systems with centralized power plants. Infosys Topaz, our artificial intelligence (A) solution suite, helps create an ecosystem that ensures interoperability and synchronization between DER systems with diverse capacities. In addition, it offers communication, storage, security, and analysis tools for continuous grid monitoring and control as well as robust data management.

Infosys develops bespoke generative AI systems and reinforcement learning agents for distributed energy management. Our scalable solutions support a growing volume of distributed assets as well as dynamic load requirements. Notably, our reinforcement learning agents adjust DER output in real time. Such intelligent coordination across distributed assets addresses operational challenges such as grid stability and power quality.

Infosys capabilities:

Adaptive AI solutions address the dynamics of conventional electrical networks and boost performance of distributed systems

Innovative strategies increase the hosting capacity of DER networks, enabling utilities to displace emissions-intensive energy generation and rationalize costs

ML agents process datasets from distributed sensors and smart meters to trigger autonomous applications

Our unified ecosystem empowers operators to launch mass DER deployment strategies for decarbonizing the power, heating and transportation sectors.

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Optimize distributed energy for a resilient grid

  • Supply and demand analytics embedded into the DER enablement process improve grid reliability and resilience.
  • Reliability of microgrids and small-scale energy systems minimizes dependence on utility power grids.
  • DER implementation approach enables interconnection with centralized electric grids as well as isolated energy flow to specific sites / functions such as EV charging stations.
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Challenges & Solutions

Infosys distills experience from managing conventional systems as well as digital energy orchestration for energy transition to drive seamless distributed energy network management.

Our team develops business models that account for economic, technological, financial, and statutory considerations across installation, operations and maintenance stages of DER deployment.

Our microgrid management systems and collaborative solutions for smart homes optimize self-generation and consumption.

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