Optimal Planning of Distributed Generators for Integration of Electric Vehicles in a Korean Distribution System

다국어 초록 (Multilingual Abstract)

Due to the rising concerns about global warming, Korean government is encouraging the penetration of electrical vehicles (EVs). Integrating a large number of EVs may expose the distribution systems to high voltage drops and increased energy losses. In this paper, we have carried out the optimal planning of distributed generators (DGs) in a Korean distribution feeder to enhance the penetration of EVs. The optimization problem is formulated as a mix-integer non-linear programming for minimizing the energy losses in the distribution feeder. The real traffic volume of Seoul, Korea is used for modelling the power demand of EVs. Wind and dispatchable DGs are considered as the DG-types, and Weibull distribution is applied to model the probabilistic behavior of wind speed. In order to estimate the parameters of Weibull distribution from the wind speed data, maximum likelihood estimation method is employed. The optimization problem is solved using genetic algorithm. Moreover, four test cases are considered for the simulation on the distribution system to validate the performance of the proposed planning approach. The results show that the energy losses caused by the integration of EVs are reduced while the voltage profile of the distribution feeder is enhanced.

목차 (Table of Contents)

• Abstract
• 1. Introduction
• 2. Modelling of DERs and EVs
• 3. Problem formulation and optimization algorithm
• 4. Test system and test cases
• 5. Results and discussion
• 6. Conclusion
• References

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