Optimal placement of data concentrators for expansion of the smart grid communications network
[2];
- School of Chemical EngineeringPurdue UniversityWest LafayetteINUSA
- National Renewable Energy LaboratoryGoldenCOUSA
- National Renewable Energy LaboratoryGoldenCOUSA, Department of Electrical, Computer and Energy EngineeringUniversity of ColoradoBoulderCOUSA
- School of Chemical EngineeringPurdue UniversityWest LafayetteINUSA, Sandia National LaboratoriesCenter for Computing ResearchAlbuquerqueNMUSA
Evolving power systems with increasing renewables penetration, along with the development of the smart grid, calls for improved communication networks to support these distributed generation sources. Automatic and optimal placement of communication resources within the advanced metering infrastructure is critical to provide a high-performing, reliable, and resilient power system. Three network design formulations based on mixed-integer linear and non-linear programming approaches are proposed to minimise network congestion by optimising residual buffer capacity through the placement of data concentrators and network routeing. Results on a case study show that the proposed models improve network connectivity and robustness, and increase average residual buffer capacity. Maximising average residual capacity alone, however, results in both oversaturated and underutilised nodes, while maximising either minimum residual capacity or total reciprocal residual capacity can yield much-improved network load allocation. Consideration of connection redundancy improves network reliability further by ensuring quality-of-service in the event of an outage. Analysis of multi-period network expansion shows that the models do not deviate significantly from optimal when used progressively (within 5% deviation), and are effective for utility planners to use for smart grid expansion.
- Research Organization:
- National Renewable Energy Laboratory (NREL), Golden, CO (United States)
- Sponsoring Organization:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Solar Energy Technologies Office
- Grant/Contract Number:
- AC36-08GO28308
- OSTI ID:
- 1742051
- Alternate ID(s):
- OSTI ID: 1606126; OSTI ID: 1786711
- Report Number(s):
- NREL-JA-5D00-71417
- Journal Information:
- IET Smart Grid, Journal Name: IET Smart Grid Vol. 2 Journal Issue: 4; ISSN 2515-2947
- Publisher:
- Institution of Engineering and Technology (IET)Copyright Statement
- Country of Publication:
- United Kingdom
- Language:
- English
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