TY - GEN
T1 - A cooperative game theory-based approach to compute participation factors of distributed slack buses
AU - Gautam, Mukesh
AU - Bhusal, Narayan
AU - Thapa, Jitendra
AU - Benidris, Mohammed
N1 - Funding Information:
This work was supported by the U.S. National Science Foundation (NSF) under Grant NSF 1847578.
Publisher Copyright:
© 2021 IEEE.
PY - 2021/9/6
Y1 - 2021/9/6
N2 - The conventional power flow analysis utilizes a single slack, reference, or swing bus. The use of similar formulation when performing power flow analysis may not necessarily result in minimum cost of generation and minimum power loss. Distributed slack buses, which are used to distribute the slack power (power mismatch) among different voltage controlled buses, can solve such a problem and reduce the cost of generation and power loss. This paper proposes a co-operative game theory-based approach to calculate active power participation factors to distribute slack active power among different participating generators. In the first stage, the worth (or value) of individual participating generators and their coalitions are computed. In the second stage, the Shapley value, one of the solution concepts of cooperative game theory, is used to calculate the participation factors of individual participating generators. Case studies on IEEE 14- and 30-bus systems show that the cost of generation and power loss are reduced and voltage profile is improved in case of systems with distributed slack buses compared to that with a single slack bus.
AB - The conventional power flow analysis utilizes a single slack, reference, or swing bus. The use of similar formulation when performing power flow analysis may not necessarily result in minimum cost of generation and minimum power loss. Distributed slack buses, which are used to distribute the slack power (power mismatch) among different voltage controlled buses, can solve such a problem and reduce the cost of generation and power loss. This paper proposes a co-operative game theory-based approach to calculate active power participation factors to distribute slack active power among different participating generators. In the first stage, the worth (or value) of individual participating generators and their coalitions are computed. In the second stage, the Shapley value, one of the solution concepts of cooperative game theory, is used to calculate the participation factors of individual participating generators. Case studies on IEEE 14- and 30-bus systems show that the cost of generation and power loss are reduced and voltage profile is improved in case of systems with distributed slack buses compared to that with a single slack bus.
KW - Cooperative game theory
KW - Distributed slack buses
KW - Shapley value
UR - https://www.scopus.com/pages/publications/85116667016
U2 - 10.1109/SEST50973.2021.9543394
DO - 10.1109/SEST50973.2021.9543394
M3 - Conference contribution
AN - SCOPUS:85116667016
T3 - SEST 2021 - 4th International Conference on Smart Energy Systems and Technologies
BT - SEST 2021 - 4th International Conference on Smart Energy Systems and Technologies
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 4th International Conference on Smart Energy Systems and Technologies, SEST 2021
Y2 - 6 September 2021 through 8 September 2021
ER -