Application of Genetic Algorithm with Considering Time-of-Use Rates for Combustion Schedule of Incinerator Plant

• Main Authors: Chih-Wai Tsai, 蔡志緯
• Other Authors: Tsung-En Lee
• Format: Others
• Language: zh-TW
• Published: 2008
• Online Access: http://ndltd.ncl.edu.tw/handle/79250751938689670112

碩士 === 國立高雄應用科技大學 === 電機工程系博碩士班 === 96 === Incinerators can not only lower the problems of garbage pollution but taking the thermal energy which made by combustion trash to produce power by the way of cogeneration, offering the electrical loading for factories and selling electricity to Taipower Company (TPC). Although incinerators have automatic combustion control (ACC) system to makes the trash burn completely, the ingredients of trash and the chemical features are complex and so the unstable condition of the electricity output happen. This thesis takes the statistics of trash daily combustion in incinerators and uses linear regression analysis to establish the model of cogeneration system. Then, genetic algorithm (GA) is exploited to schedule the amount of garbage of combustion for every period of time by request the factors including time-of-use rates, calorific value of garbage everyday, the number of storing garbage, the average of loading electricity in every period and the kind of garbage to get the best selling income. In order to verify effectives of the proposed approach, computed simulation of combustion schedule for the summer season and non-summer season are implemented. By comparing the simulation result it show that the approach can not only improve the stability of outputting electricity but also get much better selling income. Furthermore, this approach also calculates the power rate according to the amount of loading factory and the value of contract capacity for the shutdown period, offering a target of operation for the incinerators.