TY - GEN
T1 - A Peer-to-Peer Reputation-based Mechanism to Enhance Microgrids' Power Exchange Quality
AU - Loni, Abdolah
AU - Asadi, Somayeh
AU - Nazari-Heris, Morteza
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Nowadays, microgrids' power exchanges have incurred structural and technological changes by utilization of renewable energy sources (RESs) and moving toward new power generation. The research proposed the collaborative power exchange mechanism/bed among microgrids without intermediaries in the distribution network aiming at reducing the operating costs and optimal schedule of RESs. This paper presents a decentralized and collaborative power exchange approach among microgrids, in which microgrids attempt to increase their individual payoffs by exchanging power in the coalitional groups. In addition to the decision variables of each coalition such as power loss, and amount of exchanged power, to have a logical and beneficial choice, picking partner(s) in each coalition should be based on a criterion such as reputation and reliability of partners/microgrids. To do so, this study takes advantage of cooperative game theory to (i) model the local power exchanges among microgrids and (ii) propose a peer-to-peer (P2P) reputation-based approach to evaluate the performance levels and effectiveness of microgrids' power exchanges. Considering the microgrid's reputation or its' historical performance in previous interactions not only simplifies the cooperation of microgrids but also boosts the stability of the distribution grid. The obtained simulation results on three different IEEE 6-bus, 10-bus, and 14-bus microgrids indicate that considering the microgrids reputation in their exchanges lessened the costs caused by power outages and not full and on-time power delivery.
AB - Nowadays, microgrids' power exchanges have incurred structural and technological changes by utilization of renewable energy sources (RESs) and moving toward new power generation. The research proposed the collaborative power exchange mechanism/bed among microgrids without intermediaries in the distribution network aiming at reducing the operating costs and optimal schedule of RESs. This paper presents a decentralized and collaborative power exchange approach among microgrids, in which microgrids attempt to increase their individual payoffs by exchanging power in the coalitional groups. In addition to the decision variables of each coalition such as power loss, and amount of exchanged power, to have a logical and beneficial choice, picking partner(s) in each coalition should be based on a criterion such as reputation and reliability of partners/microgrids. To do so, this study takes advantage of cooperative game theory to (i) model the local power exchanges among microgrids and (ii) propose a peer-to-peer (P2P) reputation-based approach to evaluate the performance levels and effectiveness of microgrids' power exchanges. Considering the microgrid's reputation or its' historical performance in previous interactions not only simplifies the cooperation of microgrids but also boosts the stability of the distribution grid. The obtained simulation results on three different IEEE 6-bus, 10-bus, and 14-bus microgrids indicate that considering the microgrids reputation in their exchanges lessened the costs caused by power outages and not full and on-time power delivery.
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U2 - 10.1109/TPEC56611.2023.10078463
DO - 10.1109/TPEC56611.2023.10078463
M3 - Conference contribution
AN - SCOPUS:85152468719
T3 - 2023 IEEE Texas Power and Energy Conference, TPEC 2023
BT - 2023 IEEE Texas Power and Energy Conference, TPEC 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 IEEE Texas Power and Energy Conference, TPEC 2023
Y2 - 13 February 2023 through 14 February 2023
ER -