Study on Home Energy Management Strategy for Demand Response Application

• Main Authors: Chung-Heng Lee, 李權恆
• Other Authors: Ruay-Nan Wu
• Format: Others
• Language: zh-TW
• Published: 2019
• Online Access: http://ndltd.ncl.edu.tw/handle/248j25

碩士 === 國立臺灣科技大學 === 電機工程系 === 107 === The traditional power system relies on the utility supply the energy to users in unilateral. However, the development of the economy and the advancement of technology have made the demand of electricity growth. It needs to reduce the use of fossil fuels under the pressure of Greenhouse Gas and non-Nuclear Homeland. The utility mainly implements the Demand Response (DR) strategy for high-power users, but not the low-power users' clustering effect, which accounts for 51% of the peak power. Therefore, the combination of low-power users' DR is key to the Home Energy Management Strategy in the future. In this paper, we use the HEMS prototype with the smart meter, twelve smart plugs and 5kW, 3kWh energy storage system in the laboratory, which can calculate the maximum daily load-shedding power consumption. With smart meters collecting real-time power consumption, smart plugs measuring the controllable load power consumption, we also implement the Dynamic Programming for the load-shedding strategy to control loads at the demand-bidding time. The HEMS calculates its controllable load-shedding maximum by the Golden Section Search Method for aggregator participating in the bidding. As a result, the proposed strategy can get 105% to 110% of bidding rates due to the implementation rate ranges from 0.78 to 1.24 under the application requirement from 120W to 220W. In addition, through the Cut-Off Line Method by the energy storage system, the outcome is the peak consumption reduced by 16.28% and increased load-factor by 15.8%.