能源匱乏的危機,未來即將浮現,同時環境污染問題也日益嚴重。全球性的溫室效應、臭氧層破洞與物種消失等危機,所以發展綠色科技成為人類永續發展的共識,所謂「綠色電力」即指以再生能源發電提供的電力,現在電價不斷攀升,迫使一些企業不得不採取因應措施,若能將綠色電力引入企業用戶用電系統,那將是一個減少電費支出最有效的方法。 本文將針對風力-太陽光發電及電力蓄電池建立數學模型,並以PSO粒子演算法求解最小電費支出為目標函數,並考慮台電公司現行規定,避免廠內超約用電受罰或契約容量訂定過高而增加了基本電費支出。如果契約容量訂得太高,每個月所繳之基本電費形同浪費,反之,若訂定過低則將面臨2~3倍的罰款,兩者無形中皆會增加成本。 本文首先提出以效益成本比率BCR為最大目標函數,建構一個綠色電力協調電力需量之最佳設置容量模型,以提供用戶安置綠色電力時決策用,並以PSO粒子最佳化程式求解契約容量最佳化,依照最佳值進行契約容量訂定,將可減少該廠電費支出。
The crisis of being short of energy is coming in the near future; meanwhile, environmental pollution is getting more and more serious. Developing green technology becomes the common consensus of human sustainable development because of greenhouse effect, ozone hole and vanished species. Green power means that electricity is produced through renewable energy sources like solar, wind power. Because the price of energy is increasing, companies have to adopt some efficient measures. If companies take green technology into their power systems, that would be the most useful measure to reduce the electricity cost. The thesis not only focuses on building mathematical model of wind power, solar power and batteries, but gives the objective function, which can help the companies or household calculate the minimum electricity cost, through PSO. The companies can avoid being fined due to using more energy than amount set by Taipower, or the companies would increase basic electricity cost if the contract sets the basic used energy too high. The both conditions definitely increase the cost to the companies. This thesis first brings up BCR as the objective function to a studied power system for a company and support customers with this new method while they are making decisions. The companies or households can seek to the optimal contract capacity value through PSO to reduce electricity cost.