Design and Implementation of Optimum Demand Contract By Considering Load Control Strategies

• Main Authors: Yu-Tzu Chou, 周育賜
• Other Authors: Ming-Yuan Cho
• Format: Others
• Language: zh-TW
• Published: 2008
• Online Access: http://ndltd.ncl.edu.tw/handle/65548386613521162939

碩士 === 國立高雄應用科技大學 === 電機工程系博碩士班 === 96 === This thesis proposes an optimum demand contract model considering load control strategies with minimum lose cost approach to solve the problem of economical benefit evaluation and contract selection for customer building electrical energy management system during design and planning stage. For the realization of air conditioner load real time control and management, this thesis adopts microprocessor hardware interface techniques to establish electrical energy management system which consists of energy saving controller and load controller. Besides, power meter and modbus communication protocol are applied to aid the proposed system to improve the total system performance and energy usage efficiency. This thesis is to derive customer optimum demand contract selection model associated with demand control and cycling control in order to evaluate the customer optimum demand contract while the constraints of controllable load limit are satisfied. Moreover, the proposed system mainly consists of two parts, both a energy saving controller and a load controller. The energy saving controller is implemented by 16-bit PIC microprocessor and power parameters are measured by power meter. Besides, modbus communication protocol is supported to upload data from controller to PC and to download the control scheme from PC to controller. The load controller is implemented by 8-bit PIC microprocessor and it supports the functions of executing energy saving controller command to control air conditioner loads and to detect the operation status of air conditioner loads, as well as to transmit/receive command /data from PC. The proposed system is installed on selected customer and field test is executed. The performance of peak load clipping and electricity saving can be justified by tested results and operation data.