Utility Volt-VAR Management Framework

Integrate with existing utility Operations Technology (OT) systems and third-party systems to activate the distribution Volt-VAR management framework. Connect the Advanced Metering Infrastructure (AMI) head-end, power quality sensors, Geographic Information Systems (GIS), Outage Management Systems (OMS), SCADA, and other data acquisition systems.

Connect to AWS through a VPN with high reliability. For guaranteed bandwidth, use AWS Direct Connect with IEEE 802.1AE (MACSec) encryption.

Ingest API-based data by using serverless technologies such as Amazon API Gateway and Lambda. This provides cost-effective and highly scalable data ingestion from measurement and topology source systems.

Ingest data and issue controls through existing on-premises supervisory control and data acquisition (SCADA) systems with protocol-based integration. Maintain supervisory control of AWS-based applications through the existing SCADA system.

Stream all measurement data by using the technology or service of your choice. Trade off ease of use against real-time streaming needs with Amazon Kinesis or Amazon MSK.

6A. Load real-time data streams reliably into a data lake by using Amazon Data Firehose. Store data durably and cost-effectively in Amazon Simple Storage Service for your data lake. Automate the extract, transform, and load (ETL) process with AWS Glue to clean and transform data into business-ready formats.

6B. Derive valuable insights from your curated data lake by using AI/ML services such as SageMaker AI and Amazon Forecast. Retrain ML models every few hours or days and publish an inference endpoint for use by real-time applications.

Activate event-driven architectural patterns with a serverless event bus by using Amazon EventBridge or a combination of Amazon Simple Notification Service and Amazon Simple Queue Service. Use Amazon EventBridge for integration with third-party SaaS offerings such as Distributed Energy Resource Management Systems (DERMS).

Develop event-driven VVO applications. Use real-time operational data streams as input. Build cost-effective, highly scalable microservices with serverless Lambda. Use high performance computing (HPC)-optimized Amazon Elastic Compute Cloud instances for power-flow-based calculations. Choose from a broad selection of database services for application-specific data access patterns. Run online inferences on pre-trained ML models by using SageMaker AI endpoints.

Create real-time operational dashboards by using Amazon Managed Service for Grafana. Create BI dashboards by using Amazon Quick Sight. Accelerate custom web application UI development and hosting with AWS Amplify. Query petabytes of data across your data warehouse and data lake by using standard SQL with Amazon Redshift.

Log all account activity with AWS CloudTrail. Monitor cloud resources and applications by using Amazon CloudWatch to collect and track metrics, monitor log files, and set alarms. Search, analyze, and visualize logs for real-time insights with Amazon OpenSearch Service. Analyze and debug distributed, microservices-based VVO applications by using AWS X-Ray.

Govern cloud resources and apply security controls at scale from a centralized location by using services such as AWS Control Tower, AWS Audit Manager, AWS Systems Manager, AWS Firewall Manager, and AWS Security Hub CSPM.

Control access with AWS Identity and Access Management and Directory Service. Monitor network traffic for malicious activity by using Amazon GuardDuty. Encrypt all data at rest with AWS Key Management Service and data in transit by using Transport Layer Security (TLS) encryption. Use AWS Config to assess all cloud configurations and any changes.