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dc.contributor.authorChay, Jin Zhenen_US
dc.description.abstractThe report summarises the restorative method of “Critical Load Restoration Method” to achieve a resilient distribution system. The method focus on restoring power to the high demand loads of the customer during fault occurrence. Distributed generators and tie switches will be used for the reconfiguration of the network. Using Python to create a priority algorithm to solve a mathematical model of an actual scenario of an electrical fault. An algorithm is used to generate the random fault due to disaster or voltage trip. A stochastic program is also used to generate the tree lines of scenario of the random faults that could happen. The usage of Python allowed us to cross-platform to use codes from other libraries for the simulation of the network configuration. This will allow flexibility for the usage of codes. The types of coding methods will be discussed in detailed for a better understanding of the optimisation model for restoration. With the help of optimization solvers such as the Cplex Optimizer, the mathematical model can be solved to achieve best restorative time using “Critical Load Restoration Method”. The constraints of the network distribution system will be used as parameters for the formulation of the mathematical model.en_US
dc.publisherNanyang Technological Universityen_US
dc.subjectEngineering::Electrical and electronic engineering::Electric power::Production, transmission and distributionen_US
dc.titleDistribution system reconfiguration for service restoration : part 1en_US
dc.typeFinal Year Project (FYP)en_US
dc.contributor.supervisorWang Pengen_US
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.description.degreeBachelor of Engineering (Electrical and Electronic Engineering)en_US
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Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)
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