Impact of the electricity transmission and distribution system engaged with renewable energy

• Main Authors: Kai Ruei, Hu, 胡凱睿
• Other Authors: Wu-Der Jeng
• Format: Others
• Language: zh-TW
• Published: 2015
• Online Access: http://ndltd.ncl.edu.tw/handle/36940528159605427692

碩士 === 明新科技大學 === 工業工程與管理系碩士班 === 103 === The absence of proper planning for energy consumption has led to environmental pollution and climate change, bringing about global warming through the greenhouse effect. In response, countries around the world have implemented carbon reduction policies to accelerate the development of renewable energy, and being good at using green energy has now become an international trend. For Taiwan’s power supply and demand, effectively increasing the ratio of renewable energy (solar, wind) has gradually become one of our country's most important goals for sustainable development. This study on electricity transmission and distribution explore the renewable energy is generated and supplied into Taiwan Power Company’s system and the impact of the associated transmission and distribution system on operations. In view of the electricity demand for Taiwan Power Company’s distribution system of regional stations, electricity supply and demand planning in regard to renewable energy policies, electricity and renewable energy in general feedback pricing strategies, and how Taiwan Power Company improving on carbon emissions targets, a linear programming model of supply and demand of electricity, green energy and nuclear power purchase prices, green ratios generator can be configured in different contexts to make the appropriate configuration and scheduling. The objective is to minimize the total cost and to make the best business model of low-carbon emissions. This study provides references related to future decision-makers set the configuration of the power planning and properly configuring its renewable energy transmission and distribution system. Keywords：Global warming, renewable energy, electricity transmission and distribution, multi-objective linear programming, carbon footprint