Development of an Optimal Power Flow model for Singapore’s Power Grid based on ontology and the J-Park Simulator

• Main Author: Foo, Joel Cejun
• Other Authors: Foo Yi Shyh Eddy
• Format: Final Year Project
• Language: English
• Published: Nanyang Technological University 2020
• Subjects: Engineering::Electrical and electronic engineering::Electric power::Production, transmission and distribution
• Online Access: https://hdl.handle.net/10356/138744
• Institution: Nanyang Technological University

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).