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Considering the fault "N-1" checksum and the power flow, the single-phase power flow model is further transformed into a three-phase power flow model, and the asymmetry of the three-phase power flow is measured by the three-phase unbalance factor. The calculation model is linearized by the second-order cone relaxation and the Big-M method. At the same time, the load response and distribution network reconstruction are used to improve the reliability of the power supply network to cope with the power failure. The relationship between power supply capability and power flow constraints, main transformer capacity and distributed power parameters is analyzed by IEEE 33-node three-phase power distribution system. The feasibility of the proposed model and the accuracy of the second-order cone relaxation are verified by numerical examples, which provides a technical reference for distribution network planning.

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The development of renewable energy in Fujian province has entered a bottleneck period in recent years. Considering the impact of COVID-19, how to formulate the provincial energy development strategy based on the 14th Five-year Plan is an important issue that need to be addressed for Fujian. This paper constructs a provincial Computable General Equilibrium model to analyze the cost of energy transition to renewable resources and tries to find a better pathway that integrated into account social efficiency and cost. The simulation results show that after the implementation of energy substitution, the actual electricity price will increase by about 1.6% and the electricity consumption in various sectors will also decrease, especially in the secondary industry. Overall, the marginal impact of energy substitution on the economy is significant.

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