TY - GEN
T1 - Gateway placement for wirless mesh networks in smart grid network planning
AU - Kemal, Mohammed S.
AU - Ceocea, Alexandru
AU - Olsen, Rasmus L.
PY - 2016/8/15
Y1 - 2016/8/15
N2 - Smart Grid components by nature, are spread over geographical locations, with generation points and consumption locations distributed and spread out on large areas, it is obvious that there is a need for a proper management of location intelligence. Location intelligence provides information essential for smart, efficient and self-healing systems. For upper management, it provides information used for making strategic decisions, mapping of customers, prospects and suppliers. Regarding operations, it gives information of different smart grid components such as smart meters, aggregators, substations, transformers and alternative energy sources. This paper deals with the placement of gateways for data aggregators in a Smart Grid, mainly for proposing a placement algorithm which increases the overall throughput of the network. The problem is treated from a networking point of view, by using wireless mesh networks as the communications environment and implementing a Maximum Traffic Flow Weight algorithm (MTFW) for defining an optimal position of gateways to data aggregators used in Automatic Metering Infrastructure (AMI). MTFW algorithm is tested by comparing it to other placement algorithms. It is further used for network planning implementation by using GIS data from a real life scenario. The resulting network plan is visualized with standard tool MapInfo Professional.
AB - Smart Grid components by nature, are spread over geographical locations, with generation points and consumption locations distributed and spread out on large areas, it is obvious that there is a need for a proper management of location intelligence. Location intelligence provides information essential for smart, efficient and self-healing systems. For upper management, it provides information used for making strategic decisions, mapping of customers, prospects and suppliers. Regarding operations, it gives information of different smart grid components such as smart meters, aggregators, substations, transformers and alternative energy sources. This paper deals with the placement of gateways for data aggregators in a Smart Grid, mainly for proposing a placement algorithm which increases the overall throughput of the network. The problem is treated from a networking point of view, by using wireless mesh networks as the communications environment and implementing a Maximum Traffic Flow Weight algorithm (MTFW) for defining an optimal position of gateways to data aggregators used in Automatic Metering Infrastructure (AMI). MTFW algorithm is tested by comparing it to other placement algorithms. It is further used for network planning implementation by using GIS data from a real life scenario. The resulting network plan is visualized with standard tool MapInfo Professional.
KW - AMI
KW - Gateway Placement
KW - Network Planning
KW - Smart Grid
KW - Wirless Mesh Networks
UR - http://www.scopus.com/inward/record.url?scp=84986257794&partnerID=8YFLogxK
U2 - 10.1109/CPE.2016.7544174
DO - 10.1109/CPE.2016.7544174
M3 - Article in proceeding
AN - SCOPUS:84986257794
T3 - International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG). Proceedings.
SP - 144
EP - 147
BT - Compatibility, Power Electronics and Power Engineering (CPE-POWERENG), 2016 10th International Conference on
PB - IEEE
T2 - 10th International Conference on Compatibility, Power Electronics and Power Engineering, CPE-POWERENG 2016
Y2 - 29 June 2016 through 1 July 2016
ER -