Smart Grid Management System Using AWS Cloud Services
Detailed Solution for Smart Grid Management System Using AWS Cloud Services, for of reputed energy & utilities client's The client is one of power generatiion & supply entity at Erope.
Objective: To migrate smart grid system which is highly relable in onpremise hosted application into cloud.
Cloud Solution Overview: To improve the efficiency and reliability of the smart grid by leveraging a microservices-based architecture using AWS cloud services
The solution comprises of Microservices Architecture where differnt services will be intrerconnected and integrated to form a full smart grid maangmnet system.
AWS Infra for each Microservice:
Proposed the following AWS Infra for each microservice. For all Microservices, selected serverless tools by purpose (AWS Lambda, Amazon API Gateway, and Amazon SNS) for the microservices because they easy to saclae up automatically on demnad, redcued costs, easy maintenance coz of no servers to manage, allowing developers to focus on code and features, Felxibility reasons so that can easily integrate with other AWS services to build robust solutions.
Microserviec 1: Customer Management Service
Description:
Handle customer data, billing, and service requests.
Ensure data security and compliance with industry standards.
Provide a user-friendly interface for customers to manage their accounts.
Existing Controls: Traditional databases and CRM systems.
Changes Required:
Migrate to a scalable, serverless architecture.
Implement robust security measures and data encryption.
Programming Language used by Dev team: Python & Node.JS
Technology Proposed: AWS Lambda, Amazon API Gateway (serverless)
Microserviec 2: Power Meter Data Management Service
Description:
Real-time collection and processing of smart meter data.
Accurate measurement and generate bill for energy consumption.
Integration with existing metering infrastructure.
Existing Controls:
Legacy systems collecting and storing data manually.
Changes Required:
Implement real-time data streaming and storage solutions.
Ensure high availability and low latency.
Manual legacy meters at consuer homes to be changed to smart meters that can able to communicate Inverent to connect Cloud AWS Infra.
Programming Language used by Dev Team: Python, Java
Technology Prposed: AWS IoT Core, Amazon Kinesis Data Streams, Amazon DynamoDB
Why propsed IOT Core, Kinesis Data Streams, Amazon DynamoDB?
Because they are designed for handling and processing IoT data in real-time
AWS IoT Core: It is optimized for connecting IoT devices to AWS Cloud, enabling secure communication between smart meters and the cloud.
Amazon Kinesis Data Streams: It provides the capability to collect, process, and analyze real-time, streaming data from smart meters, which is essential for accurate and timely data processing.
Amazon DynamoDB: As a fast and flexible NoSQL database, it offers the scalability and low latency needed for storing vast amounts of IoT data.