Development of an Optimal Power Flow model for Singapore’s Power Grid based on ontology and the J-Park Simulator
This project investigates the significance of ontologies for managing data and knowledge in heterogeneous entities within an Eco-Industrial Park (EIP). To establish cross-domain interaction and interoperability in an EIP, a domain ontology for power systems, ‘OntoPowSys’, was developed as a solution...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2020
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| Online Access: | https://hdl.handle.net/10356/138744 |
| _version_ | 1826128524136677376 |
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| author | Foo, Joel Cejun |
| author2 | Foo Yi Shyh Eddy |
| author_facet | Foo Yi Shyh Eddy Foo, Joel Cejun |
| author_sort | Foo, Joel Cejun |
| collection | NTU |
| description | This project investigates the significance of ontologies for managing data and knowledge in heterogeneous entities within an Eco-Industrial Park (EIP). To establish cross-domain interaction and interoperability in an EIP, a domain ontology for power systems, ‘OntoPowSys’, was developed as a solution. It connects the heterogeneous entities through improved data sharing and resource management. OntoPowSys is developed in the Ontology Web Language (OWL) with the help of an ontology editing environment, Protégé. It is then integrated into the J-Park Simulator (JPS), which is an intelligent system developed on the framework of web semantics. A feature of the JPS is represented through a case study, by which the application of Optimal Power Flow (OPF) in the power grid is investigated. The methodology further elaborates the development of this feature. The methodology presents the development of an OPF algorithm for Singapore’s Power Transmission Grid (230kV and 400kV). The algorithm is solved by PyPower, an open-source power optimisation library in Python language. It would then be utilised by an “OPF Software Agent” for solving the power flow equations of the grid – i.e. to estimate the bus voltages, line currents, power flows and losses. The key objective of the OPF study is to optimise the power supply with minimal generation cost while satisfying grid constraints (i.e. maximum and minimum voltage magnitudes and angles). |
| first_indexed | 2024-10-01T07:26:21Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/138744 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T07:26:21Z |
| publishDate | 2020 |
| publisher | Nanyang Technological University |
| record_format | dspace |
| spelling | ntu-10356/1387442023-07-07T18:20:30Z Development of an Optimal Power Flow model for Singapore’s Power Grid based on ontology and the J-Park Simulator Foo, Joel Cejun Foo Yi Shyh Eddy School of Electrical and Electronic Engineering Cambridge Centre for Advanced Research and Education in Singapore (CARES) Gourab Karmakar eddyfoo@ntu.edu.sg Engineering::Electrical and electronic engineering::Electric power::Production, transmission and distribution This project investigates the significance of ontologies for managing data and knowledge in heterogeneous entities within an Eco-Industrial Park (EIP). To establish cross-domain interaction and interoperability in an EIP, a domain ontology for power systems, ‘OntoPowSys’, was developed as a solution. It connects the heterogeneous entities through improved data sharing and resource management. OntoPowSys is developed in the Ontology Web Language (OWL) with the help of an ontology editing environment, Protégé. It is then integrated into the J-Park Simulator (JPS), which is an intelligent system developed on the framework of web semantics. A feature of the JPS is represented through a case study, by which the application of Optimal Power Flow (OPF) in the power grid is investigated. The methodology further elaborates the development of this feature. The methodology presents the development of an OPF algorithm for Singapore’s Power Transmission Grid (230kV and 400kV). The algorithm is solved by PyPower, an open-source power optimisation library in Python language. It would then be utilised by an “OPF Software Agent” for solving the power flow equations of the grid – i.e. to estimate the bus voltages, line currents, power flows and losses. The key objective of the OPF study is to optimise the power supply with minimal generation cost while satisfying grid constraints (i.e. maximum and minimum voltage magnitudes and angles). Bachelor of Engineering (Electrical and Electronic Engineering) 2020-05-12T06:07:00Z 2020-05-12T06:07:00Z 2020 Final Year Project (FYP) https://hdl.handle.net/10356/138744 en A1062-191 application/pdf Nanyang Technological University |
| spellingShingle | Engineering::Electrical and electronic engineering::Electric power::Production, transmission and distribution Foo, Joel Cejun Development of an Optimal Power Flow model for Singapore’s Power Grid based on ontology and the J-Park Simulator |
| title | Development of an Optimal Power Flow model for Singapore’s Power Grid based on ontology and the J-Park Simulator |
| title_full | Development of an Optimal Power Flow model for Singapore’s Power Grid based on ontology and the J-Park Simulator |
| title_fullStr | Development of an Optimal Power Flow model for Singapore’s Power Grid based on ontology and the J-Park Simulator |
| title_full_unstemmed | Development of an Optimal Power Flow model for Singapore’s Power Grid based on ontology and the J-Park Simulator |
| title_short | Development of an Optimal Power Flow model for Singapore’s Power Grid based on ontology and the J-Park Simulator |
| title_sort | development of an optimal power flow model for singapore s power grid based on ontology and the j park simulator |
| topic | Engineering::Electrical and electronic engineering::Electric power::Production, transmission and distribution |
| url | https://hdl.handle.net/10356/138744 |
| work_keys_str_mv | AT foojoelcejun developmentofanoptimalpowerflowmodelforsingaporespowergridbasedonontologyandthejparksimulator |