Optimal mix and placement of energy storage systems in power distribution networks for reduced outage costs

Jesse M. Gantz; S. Massoud Amin; Anthony M. Giacomoni

doi:10.1109/ECCE.2012.6342550

Optimal mix and placement of energy storage systems in power distribution networks for reduced outage costs

Jesse M. Gantz
, S. Massoud Amin
, Anthony M. Giacomoni

Technological Leadership Institute

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

28 Scopus citations

Abstract

As energy infrastructure is upgraded to meet modern digital society's need for secure and high-quality electric power, grid-tied energy storage systems are becoming a viable means for improving system reliability and realizing the benefits of Smart Grid. This paper investigates the optimal implementation of distributed storage resources in a power distribution system or islanded microgrid in conjunction with an intelligent load shedding scheme to minimize the societal costs of blackouts. First, a non-linear combinatorial optimization problem for prioritizing outage ride-through service is formulated and a solution methodology is proposed that combines a local search heuristic with simulated annealing. Next, a resource allocation optimization problem is developed to determine the optimal mix and placement of energy storage resources in a power distribution network for intentional islanding of sectionalizable sub-networks. Simulations are performed on the IEEE 123 node test feeder model subject to realistic power system constraints.

Original language	English (US)
Title of host publication	2012 IEEE Energy Conversion Congress and Exposition, ECCE 2012
Pages	2447-2453
Number of pages	7
DOIs	https://doi.org/10.1109/ECCE.2012.6342550
State	Published - Dec 17 2012
Event	4th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2012 - Raleigh, NC, United States Duration: Sep 15 2012 → Sep 20 2012

Publication series

Name	2012 IEEE Energy Conversion Congress and Exposition, ECCE 2012

Other

Other	4th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2012
Country/Territory	United States
City	Raleigh, NC
Period	9/15/12 → 9/20/12

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Community Energy Storage
Distributed Energy Resources
Emergency Backup
Microgrids
Power Distribution Systems
Power Systems

Publisher link

10.1109/ECCE.2012.6342550

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Optimal mix and placement of energy storage systems in power distribution networks for reduced outage costs. / Gantz, Jesse M.; Amin, S. Massoud; Giacomoni, Anthony M.
2012 IEEE Energy Conversion Congress and Exposition, ECCE 2012. 2012. p. 2447-2453 6342550 (2012 IEEE Energy Conversion Congress and Exposition, ECCE 2012).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Gantz, JM, Amin, SM & Giacomoni, AM 2012, Optimal mix and placement of energy storage systems in power distribution networks for reduced outage costs. in 2012 IEEE Energy Conversion Congress and Exposition, ECCE 2012., 6342550, 2012 IEEE Energy Conversion Congress and Exposition, ECCE 2012, pp. 2447-2453, 4th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2012, Raleigh, NC, United States, 9/15/12. https://doi.org/10.1109/ECCE.2012.6342550

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abstract = "As energy infrastructure is upgraded to meet modern digital society's need for secure and high-quality electric power, grid-tied energy storage systems are becoming a viable means for improving system reliability and realizing the benefits of Smart Grid. This paper investigates the optimal implementation of distributed storage resources in a power distribution system or islanded microgrid in conjunction with an intelligent load shedding scheme to minimize the societal costs of blackouts. First, a non-linear combinatorial optimization problem for prioritizing outage ride-through service is formulated and a solution methodology is proposed that combines a local search heuristic with simulated annealing. Next, a resource allocation optimization problem is developed to determine the optimal mix and placement of energy storage resources in a power distribution network for intentional islanding of sectionalizable sub-networks. Simulations are performed on the IEEE 123 node test feeder model subject to realistic power system constraints.",

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N2 - As energy infrastructure is upgraded to meet modern digital society's need for secure and high-quality electric power, grid-tied energy storage systems are becoming a viable means for improving system reliability and realizing the benefits of Smart Grid. This paper investigates the optimal implementation of distributed storage resources in a power distribution system or islanded microgrid in conjunction with an intelligent load shedding scheme to minimize the societal costs of blackouts. First, a non-linear combinatorial optimization problem for prioritizing outage ride-through service is formulated and a solution methodology is proposed that combines a local search heuristic with simulated annealing. Next, a resource allocation optimization problem is developed to determine the optimal mix and placement of energy storage resources in a power distribution network for intentional islanding of sectionalizable sub-networks. Simulations are performed on the IEEE 123 node test feeder model subject to realistic power system constraints.

AB - As energy infrastructure is upgraded to meet modern digital society's need for secure and high-quality electric power, grid-tied energy storage systems are becoming a viable means for improving system reliability and realizing the benefits of Smart Grid. This paper investigates the optimal implementation of distributed storage resources in a power distribution system or islanded microgrid in conjunction with an intelligent load shedding scheme to minimize the societal costs of blackouts. First, a non-linear combinatorial optimization problem for prioritizing outage ride-through service is formulated and a solution methodology is proposed that combines a local search heuristic with simulated annealing. Next, a resource allocation optimization problem is developed to determine the optimal mix and placement of energy storage resources in a power distribution network for intentional islanding of sectionalizable sub-networks. Simulations are performed on the IEEE 123 node test feeder model subject to realistic power system constraints.

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KW - Distributed Energy Resources

KW - Emergency Backup

KW - Microgrids

KW - Power Distribution Systems

KW - Power Systems

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ER -

Optimal mix and placement of energy storage systems in power distribution networks for reduced outage costs

Abstract

Publication series

Other

UN SDGs

Keywords

Publisher link

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