Modeling Method And Model Application Of Power Station Thermal System Based On Operation Data Theoretical Analysis And Algorithm Study On Bi-level Logistics Terminals Planning Model

Using the 135MW unit of NanDing Power Station as object, an off-design modelis built. The model is composed of two levels. The first level takes the whole systemas a fluid network and solves a set of equations to get pressure-flow rate. The secondis component level in which each equipments is modeled as a module whichcontains fluid network description and energy balance description. The processes (i.e.pressure loss, heat transfer) inside each component are module in accordance tocorresponding mechanism, which has the advantage of reflecting the influences ofmajor inputs or factors. In order to have model to simulate the full working range,the dominant method is applied. By combining mechanism analysis and dataanalysis, the relationship between character parameter and dominant factor, thefactors determining the change of character parameter is established. Based on theresult of more than 40 different conditions, it is proved that the power station thermalsystem off-design model achieved the goal to simulate the object systemcontinuously and precisely. The validity of the dominant method is verified.Based on the one year operation data, it is found that the relationship betweencharacter parameter and dominant factor doesn't change as time goes on. The factionproved the idea that relationship is determined by the character of equipment. Also thevalidity of this relationship is substantiated. Dominant factor method is correct. Itfinds the connotative rule within the equipment, and made model simulate the objectprecisely.From the principles listed above, the author raised the idea to diagnose faultaccording to the dominant factor curve. The comparison between the curves derivedfrom the data within one month after completion and curves derived from the data oneyear after completion proved the validity and practicability of this method.In this paper, an off design model is successfully built and applied to operationoptimization and thermal economy diagnosis of power plant. Based on the model, theoptimal operation curve of the target system is obtained, which accords with thepractical operating experience. Also the potential equipment that can decrease theeconomy of the system is found. The above work extends the application area ofoff–design model, which builds a compacted foundation for further development ofplant state monitoring, diagnose and optimization system.