Project

Dynamic service restoration of distribution systems based on load curves

Project (M.S., Electrical and Electronic Engineering)--California State University, Sacramento, 2018.

A dynamic service restoration (DSR) method based on load curve variations, is proposed in this project. The application of the time variable load is considered to make an effective service restoration plan for affected distribution systems. Based on the available load curves of Sichuan provincial power system in China, the proposed method identifies the optimal candidate network configurations. The network configuration is altered for each hour over the restoration period. A service restoration plan with global dynamic characteristics is formed. The established distribution systems DSR is a constrained multi-objective mathematical model. Computation complexity is reduced by a two-stage solving methodology. A couple of case studies of a 70-node distribution system are presented in the paper. The simulation results indicate that, the proposed method will provide a fast, secure and reliable service restoration plan of the distribution.

A dynamic service restoration (DSR) method based on load curve variations, is proposed in this project. The application of the time variable load is considered to make an effective service restoration plan for affected distribution systems. Based on the available load curves of Sichuan provincial power system in China, the proposed method identifies the optimal candidate network configurations. The network configuration is altered for each hour over the restoration period. A service restoration plan with global dynamic characteristics is formed. The established distribution systems DSR is a constrained multi-objective mathematical model. Computation complexity is reduced by a two-stage solving methodology. A couple of case studies of a 70-node distribution system are presented in the paper. The simulation results indicate that, the proposed method will provide a fast, secure and reliable service restoration plan of the distribution.

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