P2P energy trading under unbalanced low-voltage distribution network constraints | |
| Author | Paisan Ongcharoen |
| Call Number | AIT Thesis no.ET-21-07 |
| Subject(s) | Peer-to-peer architecture (Computer networks) Electric power distribution Power resources |
| Note | A thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Energy |
| Publisher | Asian Institute of Technology |
| Abstract | Peer-to-peer (P2P) energy trading will be widely adopted in Thailand’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’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. |
| Year | 2021 |
| Type | Thesis |
| School | School of Environment, Resources, and Development (SERD) |
| Department | Department of Energy and Climate Change (Former title: Department of Energy, Environment, and Climate Change (DEECC)) |
| Academic Program/FoS | Energy Technology (ET) |
| Chairperson(s) | Weerakorn Ongsakul |
| Examination Committee(s) | Singh, Jai Govind;Ekbordin Winijkul |
| Scholarship Donor(s) | PEA-AIT Education Cooperation Project;Royal Thai Government Fellowship |
| Degree | Thesis (M. Eng.) - Asian Institute of Technology, 2021 |