TY - GEN
T1 - Optimal Cost Network Design for Bounded Delay Data Transfer from PMU to Control Center
AU - Sen, A.
AU - Roy, S.
AU - Basu, K.
AU - Adeniye, S.
AU - Choudhuri, S.
AU - Pal, A.
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - Communication network topology design problem in a smart grid environment has received considerable attention in recent times, because in this environment, power transmission control data, generated by Phasor Measurement Units (PMUs), needs to be exchanged between Substations (SS) and Controls Centers (CC) in real time. In this paper, we formalize this design problem studied in a previous paper as the Rooted Delay Constrained Minimum Spanning Tree (RDCMST) problem. While other researchers have studied the RDCMST problem in a topological setting, we study it in a geometric setting. We provide a modified version of the well-known Prim's algorithm for construction of a Minimum Spanning Tree of a graph to solve the RDCMST problem. We (i) establish the necessary and sufficient condition for the existence of a solution for the RDCMST problem, (ii) demonstrate that our algorithm may fail to find the optimal solution for some problem instances, (iii) characterize conditions on the input data which will ensure that our algorithm will find the optimal solution, and (iv) demonstrate that under some pathological condition, the ratio between our algorithm and the optimal solution can be arbitrarily large. We provide an Integer Linear Programming formulation for the problem for computation of the optimal solution. We evaluate the performance of our algorithm with real substation location data of Arizona. In our experiments, our algorithm always produced either optimal or near optimal solutions.
AB - Communication network topology design problem in a smart grid environment has received considerable attention in recent times, because in this environment, power transmission control data, generated by Phasor Measurement Units (PMUs), needs to be exchanged between Substations (SS) and Controls Centers (CC) in real time. In this paper, we formalize this design problem studied in a previous paper as the Rooted Delay Constrained Minimum Spanning Tree (RDCMST) problem. While other researchers have studied the RDCMST problem in a topological setting, we study it in a geometric setting. We provide a modified version of the well-known Prim's algorithm for construction of a Minimum Spanning Tree of a graph to solve the RDCMST problem. We (i) establish the necessary and sufficient condition for the existence of a solution for the RDCMST problem, (ii) demonstrate that our algorithm may fail to find the optimal solution for some problem instances, (iii) characterize conditions on the input data which will ensure that our algorithm will find the optimal solution, and (iv) demonstrate that under some pathological condition, the ratio between our algorithm and the optimal solution can be arbitrarily large. We provide an Integer Linear Programming formulation for the problem for computation of the optimal solution. We evaluate the performance of our algorithm with real substation location data of Arizona. In our experiments, our algorithm always produced either optimal or near optimal solutions.
UR - http://www.scopus.com/inward/record.url?scp=85127263796&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85127263796&partnerID=8YFLogxK
U2 - 10.1109/GLOBECOM46510.2021.9685580
DO - 10.1109/GLOBECOM46510.2021.9685580
M3 - Conference contribution
AN - SCOPUS:85127263796
T3 - 2021 IEEE Global Communications Conference, GLOBECOM 2021 - Proceedings
BT - 2021 IEEE Global Communications Conference, GLOBECOM 2021 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2021 IEEE Global Communications Conference, GLOBECOM 2021
Y2 - 7 December 2021 through 11 December 2021
ER -