Data Center Placement Optimization for Power Grids
Analysis
This paper addresses the critical challenge of integrating data centers, which are significant energy consumers, into power distribution networks. It proposes a techno-economic optimization model that considers network constraints, renewable generation, and investment costs. The use of a genetic algorithm and multi-scenario decision framework is a practical approach to finding optimal solutions. The case study on the IEEE 33 bus system provides concrete evidence of the method's effectiveness in reducing losses and improving voltage quality.
Key Takeaways
- •Proposes a techno-economic optimization model for data center placement considering network constraints and costs.
- •Employs a genetic algorithm and multi-scenario framework for optimal solutions.
- •Demonstrates effectiveness in reducing losses and improving voltage quality in a case study.
“The converged design selects bus 14 with 1.10 MW DG, reducing total losses from 202.67 kW to 129.37 kW while improving the minimum bus voltage to 0.933 per unit at a moderate investment cost of 1.33 MUSD.”