04431nas a2200481 a 4500 20260818171119.0 220613s2021 th uu m rtt 0 a eng d .b12385608 AIT Thesis no.ET-21-07 Paisan Ongcharoen P2P energy trading under unbalanced low-voltage distribution network constraints Pathum Thani, Thailand : Asian Institute of Technology, 2021 100 leaves : ill. Thesis ; no. ET-21-07 A thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Energy Thesis (M. Eng.) - Asian Institute of Technology, 2021 Peer-to-peer (P2P) energy trading will be widely adopted in Thailand{u2019}s retail electricity market as a result of increase in global decarbonization, decentralized power systems, and the development of intelligent technologies, which will be sponsored by numerous renewable energy policies and programs. This study proposed a concept of P2P energy trading under network constraints among residential consumers and prosumers installing rooftop photovoltaics (PVs), which mainly focuses on low-voltage (LV) distribution systems. Three possible P2P models are investigated, namely community-based, full-P2P, and hybrid-P2P models. The market mechanism is well performed by using a double-sided auction method, integrating a consideration of network constraints, in which an unbalanced distribution system load flow (DLF) and strategies for the coordinated control of reactive power compensations and the active power curtailment of non-firm capacities were the well-mixed applications. Provincial Electricity Authority{u2019}s (PEA) Pattaya Smart Grid project with LV feeders is used as a case study to simulate different P2P models, which the simulation algorithm is developed by MATLAB software. The developed market mechanism provides P2P electricity prices with MCPs and the performance of eliminating the violations of voltages and loading of distribution transformers and lines; as a result, the compensated reactive energy and the curtailed active energy were absolutely equalized in all cases. The simulation results indicated that the full-P2P model is the preferred market model for the residential households, which provides the most amount of total clearing energy in P2P market. Thus, groups of prosumers and consumers can also gain the most benefit in the full-P2P model regarding the increase in financial profit and saving. It is interesting to note that PEA as a distribution system operator (DSO) and a retailer definitely lose their profit and cannot be fully compensated by wheeling fee in all P2P trading models due to losing a large amount of revenue from selling electricity to households. Peer-to-peer architecture (Computer networks) Electric power distribution Power resources Weerakorn Ongsakul, Chairperson Singh, Jai Govind, Examination Committee Ekbordin Winijkul, Examination committee PEA-AIT Education Cooperation Project, Scholarship Donor Royal Thai Government Fellowship, Scholarship Donor Asian Institute of Technology. Thesis ; no. ET-21-07 Full-Text http://203.159.5.9/ait-thesis/detail.php?q=B16713 .b12385608 mnait m 240419 0 220613 m a m 0 mnait mnait mnarc mnarc 40 61 20 Barcode : 30020220006319 CREATED : 2022-03-06 RECORD # : i13381362 LPATRON : 0 LCHKIN : - # RENEWALS : 0 # OVERDUE : 0 IUSE3 : 0 TOT CHKOUT : 0 TOT RENEW : 0 Barcode : - CREATED : 2022-03-06 RECORD # : i13381374 LPATRON : 0 LCHKIN : - # RENEWALS : 0 # OVERDUE : 0 IUSE3 : 0 TOT CHKOUT : 0 TOT RENEW : 0 Barcode : 30050121035843 CREATED : 2022-06-13 RECORD # : i13383218 LPATRON : 1033248 LCHKIN : 2024-02-14 # RENEWALS : 0 # OVERDUE : 0 IUSE3 : 0 TOT CHKOUT : 1 TOT RENEW : 0 Barcode : 30050121035926 CREATED : 2022-06-13 RECORD # : i1338322x LPATRON : 0 LCHKIN : - # RENEWALS : 0 # OVERDUE : 0 IUSE3 : 0 TOT CHKOUT : 0 TOT RENEW : 0 85071 85071 0 0 0 0 MAIN MAIN mnarc 2026-08-18 0 AIT Thesis no.ET-21-07 30020220006319 2026-08-18 17:11:19 1 2026-08-18 40 0 0 0 0 MAIN MAIN mnarc 2026-08-18 0 AIT Thesis no.ET-21-07 2026-08-18 17:11:19 2026-08-18 61 0 0 0 0 MAIN MAIN mnait 2026-08-18 50.00 0 AIT Thesis no.ET-21-07 30050121035843 2026-08-18 17:11:19 1 2026-08-18 20 0 0 0 0 MAIN MAIN mnait 2026-08-18 50.00 0 AIT Thesis no.ET-21-07 30050121035926 2026-08-18 17:11:19 2 2026-08-18 20