Research And Realization Of Multi-objective Optimization Problem Of CCHP

With the continuous development of the social economy, the country’s demand for energy is growing.it makes the threat of energy depletion get more and more attention of people. At the same time, the environmental pollution problems for the reason of the rapid development become the focus of people’s concern. In order to scientifically sustainable socio-economic development, we must abandon the traditional production methods. The new production method which has higher energy efficiency and lower emission is imperative. The key problem is how to improve the efficiency of energy and reduce the emission.Combined cooling, heating and power system(CCHP) is a new method,which can recover waste heat from the process of production and transform the waste heat to the cold demand that is the essential for people’s daily life. This ability can guarantee the quality of daily life at the same time also can improve the efficiency of energy and reduce the emission. The method that popularizes the CCHP is effective solutions for the problem of energy depletion and environmental pollution. In the process of building energy station, we need to ensure low energy consumption, pollution emissions, but also to ensure the investor’s own profits. By this way, how to balance these three indicators becomes the current research focus.In summary, the major work of this paper can be divided into the following three aspects:(1) Establish a model of CCHP. Based on researching the current mainstream CCHP system, we build the CCHP’s Operations Strategy model. On this basis, we build the models of fuel consumption, operating expenses and emissions. At last, we establish a multi-objective evaluation model of CCHP, which is based on concepts of multi-objective optimization problem. We want to seek their Pareto optimal solution set.(2) Propose the multi-objective AFSA based on roulette selection mechanism. We establish a multi-objective optimization problem with the CCHP’s model, and use the multi-objective AFSA to resolve it. In this paper, we use the characteristics of multi-objective optimization problem to transform the basic AFSA, make the AFSA can resolve the multi-objective optimization problem. In order to avoid falling into local optimal solution algorithm, we improve the algorithm whit roulette selection mechanism. Then we carry out a comparison test with PSO and NSGAII(3) Achieve a CCHP system software. Based on the previous work, we respectively achieve the load forecasting module and multi-objective optimization module of CCHP system. By combining two modules, we complete the CCHP system software, and display the software.