IBM > Case Studies > Optimization algorithms minimize the impact of electric vehicle charging on grid congestion

Optimization algorithms minimize the impact of electric vehicle charging on grid congestion

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Company Size
1,000+
Region
  • Europe
Country
  • Ireland
Product
  • IBM Intelligent Electric Vehicle Enablement Platform
  • IBM Global Business Services — Business Consulting Services
Tech Stack
  • Optimization algorithms
  • Smart metering solution
Implementation Scale
  • Enterprise-wide Deployment
Impact Metrics
  • Cost Savings
  • Customer Satisfaction
  • Energy Saving
Technology Category
  • Analytics & Modeling - Real Time Analytics
  • 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
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 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.
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
  • The solution reduced average electricity consumption during peak hours by nearly 9 percent among households using smart meters.
  • The charging solution helps reduce peaks in consumption and avoid grid congestion, thus enabling ESB to avoid expensive upgrades to the transmission or distribution infrastructure.
  • The company expects its overall grid stabilization efforts to improve network reliability and enable faster recovery.
Quantitative Benefit
  • The company expects its overall grid stabilization efforts to save EUR200 million annually in service-level penalties.

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