| Summary: | 碩士 === 開南大學 === 資訊學院碩士班 === 105 === It has been a long period of time that the electricity generated in southern Taiwan is transmitted to the north to support the usage of northern Taiwan. However, energy is lost and wasted during the long distant electric transmission. Compared to the disadvantage of long-distance energy loss, solar energy can be a distributed system with low energy waste. The residual energy could be saved or consumed by nearby users or by the producer themselves. Nearby energy generation and consumption, reduced energy transmission and distribution of failure risk of power supply are advantages for solar energy generation.
This study integrates the multiple datasets to optimize locations of the solar energy distributing boxes. By analyzing recent open data of the government, we propose the optimal method and efficient locations for feeding electric distributing boxes. We used the first level dissemination areas from the Administration of Internal Affair, including the attributes and graphical data, to present the overlapped results. The coordination of feeding electric distributing boxes, group summation and feeding electric information are used to calculate the total energy generation of each area. There may be multiple solutions under appropriated and feasible conditions, and it would be a multi-distributing status by resource groups no matter what in neighbors or in the first level dissemination areas issued by Administration of Internal Affair. It has the characteristics of cross-neighbor administrative areas between the feeding distributing boxes.
In this study, we use genetic algorithm as the assemble optimization algorithm to be the strategy for choice of multiple distribution problem. Based on the assemble optimized distributing boxes and matched by the open space and facility information of first level dissemination areas in Taipei, the optimal address would be chosen for priori solar energy generation.
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