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Impact Analysis Of Environmental Factor And Extraction Parameters On The Combined Heat And Power Load Dispatch

Posted on:2015-08-28Degree:MasterType:Thesis
Country:ChinaCandidate:X FanFull Text:PDF
GTID:2272330431982987Subject:Thermal Engineering
Abstract/Summary:PDF Full Text Request
In the past thirty years, the party and the state attached great importance to the construction and development of the combined heat and power generation, the new regulations legislated by the state clearly emphasis on the positive development of the combined heat and power generation, which gradually formed the development model with Chinese characteristic after fifty years development, but the development of thermoelectric system is not yet mature enough. Practice shows that the combined heat and power generation has great energy-saving potential, the combined heat and power generation is not only an effective method of improving the urban living standards, but also an important guarantee of the economy, efficiency, and security of power system.The optimization degree of cold-end system has a direct effect on economical efficiency of the unit, the cold end system of the combined heat and power generation units includes condenser and heater for heating network, as the environmental temperature changes, the operation characteristic of cold-end system changes a lot. This paper starts by the optimization of cold-end system of the combined heat and power generation unit, then treats heater for heating network, condenser and cold source system as a whole, and compares the technical features and application prospects of traditional combined heat and power generation system and new heating. This paper takes the extracting and condensing steam turbine as an example, analyzes its influencing factors of heat economy, which main have throttle loss, load distribution, energy level matching and so on. On this basis, this paper analyses the energy-saving potential of the combined heat and power generation plant, and take appropriate measures according to the different influencing factors.Viewing of the problem of the air cooled condenser frozen and lagging adjustment of heating extraction parameters in winter, a mathematical model is presented, this paper calculated minimum steam needed by air cooled condenser and heating extraction parameters changed with environmental temperature,then corresponding performance curve is drew by origin software. The results show that this method can accurately calculate the corresponding thermoelectric proportion at different temperature, which has a guiding significance for thermal distribution in thermal power plant; good matching of heating extraction parameters and environmental temperature can avoid the waste of energy; with the help of performance curve, we can clearly see the trend of steam required by the condenser and heating parameters changing with environmental temperature, timely and effectively adjust the heating and power parameters, in order to avoid condenser frozen and satisfy the demand of heat consumer.Thermal power plant should not only meet the demand of users, but also achieve more economical operation, it is very necessary to optimize load distribution. This paper firstly compared the existing load dispatch methods, on this basis, three different particle swarm optimizations are proposed to solve the combined heat and power load dispatch problem. According to the feasible region of combined heat and power load dispatch, the detailed algorithm steps and mathematical model for combined heat and power load dispatch problem are concluded in this paper. In the case of satisfying the minimum steam amount required by the condenser and heating parameters, this paper uses MATLAB for combined heat and power optimal load dispatch, the results show that XPSO algorithm can improve the convergence speed, and has good objective optimization value; The convergence speed of EPSO algorithm is slow, but has better optimization ability; SPSO algorithm has faster convergence speed, but the cost function value is larger, therefore, XPSO algorithm is an effective method for solving combined heat and power optimal load dispatch, which has greater theoretical and practical value.The extraction parameters vary with the change of environmental temperature, and the change of extraction parameters will cause certain influence to the electrical power. The variable condition calculation can correct power error and facilitate the analysis of the influence on electrical power caused by heating parameters. A calculation method of the off-design is applied to the combined heat and power generation unit to calculate the electrical load in different heating parameters, which quantizes the influence on power generation caused by the change of heating parameters, then this method can provide energy-saving basis for the combined heat and power generation unit. Meanwhile, the corresponding energy losses in different steam condition are calculated, the results show that energy loss is larger with larger extraction steam pressure. Therefore, decreasing the extraction steam pressure appropriately can improve the thermal efficiency when the demand of heat consumer is satisfied.
Keywords/Search Tags:combined heat and power generation, heating parameters, loaddistribution, heat economy
PDF Full Text Request
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