Case Study
Demand Side Management
Stage: In Production and Active Development
Client Territory: India
01
Introduction
Adani Electricity Mumbai, a prominent player in the power distribution sector, faced increasing challenges in managing energy demand effectively. With fluctuating energy requirements, growing emphasis on renewable energy, and real-time energy trading, the organization needed a sophisticated solution to balance supply and demand while optimizing operational efficiency.
Objective
To develop a robust Demand Side Management (DSM) system leveraging advanced technologies to:
Technology Stack:
- Backend: .NET Core
- Frontend: AngularJS
- Database: SQL Server with real-time data handling capabilities
- APIs: RESTful services for integration with external systems
- Third-party integrations: Weather APIs, Energy Exchange platforms
Solution Overview
The DSM system was designed to deliver real-time insights and control over energy demand and supply. Key features included:
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15-Minute Interval Data Monitoring:
- Smart meters collected consumption data every 15 minutes.
- A data ingestion pipeline processed and stored data in near real-time.
- Dashboards provided granular consumption insights for residential, commercial, and industrial consumers.
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Weather Monitoring:
- Integration with weather APIs enabled the system to gather temperature, humidity, and wind data.
- Machine learning models analyzed historical data and weather conditions to predict demand fluctuations.
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Live Bidding in Exchanges:
- A live interface connected the DSM system with energy exchange platforms.
- The bidding engine automated price and quantity recommendations based on forecasted demand and real-time market trends.
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Live Consumption Monitoring:
- Real-time monitoring tools displayed energy consumption trends.
- Alerts and notifications were triggered for anomalies, such as spikes in consumption or supply shortages.
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Order Generation and Contract Management:
- Automated workflows facilitated the creation and management of energy purchase orders.
- A contract management module tracked supplier agreements, ensuring compliance and efficient execution.
- Scalability: The system was built on a microservices architecture using .NET Core, ensuring scalability to handle data from millions of meters.
- User Interface: AngularJS provided a responsive and intuitive user interface for control room operators and field personnel.
- Integration: APIs ensured seamless communication between smart meters, weather systems, and energy exchanges.
- Security: Role-based access control (RBAC) and encryption ensured data security and privacy.