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Optimization algorithms minimize the impact of electric vehicle charging on grid congestion
Technology Category
- Platform as a Service (PaaS) - Connectivity Platforms
Applicable Industries
- Utilities
Applicable Functions
- Logistics & Transportation
Use Cases
- Energy Management System
- Vehicle Telematics
Services
- Cloud Planning, Design & Implementation Services
- Data Science Services
The Challenge
The Electricity Supply Board (ESB) in Ireland was facing a challenge with its large-scale electric vehicle (EV) program. The increased demand for electricity due to EV charging was potentially destabilizing the grid. ESB needed a solution to optimize the charging load without negatively impacting the consumer experience. Additionally, they wanted to provide customers with a way to optimize their consumption by aligning their usage patterns with energy pricing fluctuations.
About The Customer
The Electricity Supply Board (ESB) is a leading company in the energy utility sector in Ireland. Founded in 1927 and headquartered in Dublin, ESB is a vertically integrated utility. The organization employs approximately 7,800 people. Its ESB Networks division owns and operates electricity transmission and distribution systems for all electricity customers and all generators and suppliers of electricity in the Republic of Ireland.
The Solution
ESB implemented the IBM Intelligent Electric Vehicle Enablement Platform and IBM Global Business Services — Business Consulting Services. They built a charging solution that uses optimization algorithms to allocate EV charging capacity in a way that minimizes load strain on the grid while maximizing customer convenience. Their smart metering solution provides customers with insights on near-real-time pricing, enabling them to align their power usage to periods of nonpeak grid capacity.
Operational Impact
Quantitative Benefit
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