| Summary: | 碩士 === 元智大學 === 電機工程學系 === 104 === In the many different kinds of strategy, using higher price to make users shift their peak load is the most common way to reduce the stress of power generation. Most of the demand response programs only consider user’s energy consumption cost. In our research, we focus on optimizing users’ energy consumption cost and load factor. Therefore, we use multi-optimization approach to design the demand response program. The Pareto optimal demand response program is presented in this paper. The concept of internet of things also addressed in this paper, we assume the various appliances can be integrated in our framework. Simulation results show that if residences follow the energy consumption plan can not only reduce energy consumption cost but raise their load factor. Moreover, we investigate the implementation of an online system that contains detailed information on power consumption. The system aims to provide students with transparent power information to make them aware of the amount of energy they consume. To avoid expensive hardware upgrades, the implementation is based on existing campus infrastructures. This paper provides a framework for the proposed integration, which has various applications; for example, it can facilitate the creation of high-level smart features such as dynamic pricing and smart load scheduling on campus.
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