Hanumantha Rao Bokkisam, Shashank Singh, Ritesh Mohan Acharya, 等. Blockchain-based peer-to-peer transactive energy system for community microgrid with demand response management[J]. 中国电机工程学会电力与能源系统学报(英文), 2022,8(1):198-211.
Hanumantha Rao Bokkisam, Shashank Singh, Ritesh Mohan Acharya, et al. Blockchain-based peer-to-peer transactive energy system for community microgrid with demand response management[J]. CSEE Journal of Power and Energy Systems, 2022, 8(1): 198-211.
Hanumantha Rao Bokkisam, Shashank Singh, Ritesh Mohan Acharya, 等. Blockchain-based peer-to-peer transactive energy system for community microgrid with demand response management[J]. 中国电机工程学会电力与能源系统学报(英文), 2022,8(1):198-211.DOI: 10.17775/CSEEJPES.2020.06660.
Hanumantha Rao Bokkisam, Shashank Singh, Ritesh Mohan Acharya, et al. Blockchain-based peer-to-peer transactive energy system for community microgrid with demand response management[J]. CSEE Journal of Power and Energy Systems, 2022, 8(1): 198-211.DOI: 10.17775/CSEEJPES.2020.06660.
Blockchain-based peer-to-peer transactive energy system for community microgrid with demand response management
Interest in transactive energy frameworks (TEFs) is proliferating due to the modern smart grid paradigm. This paper proposes a TEF
which applies auction-theory
incorporates a system of agents
and facilitates a transactive energy market (TEM) through an auctioneer. Further
it also enables peer-to-peer (P2P) energy trading among the residential buildings in community microgrid for possible monetary benefits. In this framework
there are three agents
namely
auctioneer
participants
and utility. The auctioneer is a managing agent modeled using auction theory to determine day-ahead internal market-clearing price and quantity. The participants are autonomous and rational decision-makers; they aim to minimize their electricity bills through the demand response (DR) management. Two types of architectures
one with the third-party agent demonstrated using the MATLAB environment and the other with the virtual agent (without third-party) implemented using the blockchain environment are presented. The simulation results reflect significant monetary benefits to each market participant