Research On Flexible Building Load Modeling And Combinatorial Optimized Peaking Strategies

After entering the 21st century, people's consciousness of environmental protection and energy saving gradually improves. The 12th five-year plan of our country has clearly put forward the energy conservation and emissions reduction, the construction of economical society, sustainable development of the concept of scientific development. At the same time, the demand of energy conservation and emissions reduction has a significant influence on the development of electric industry. As the load of power system grows, pollution will be severer to meet the demand. Moreover, there will be more cost of reconstruction of generations. To reduce the investment of generation resources, making full use of features of flexible loads and the peaking potential of user-side resources is an important research direction in view of the experience and actual conditions.In this paper, the models of the resources of flexible building loads are summarized and simplified. The simplified model of HVAC will be represented by the cooling load of different rooms. And the models of lighting devices and electric vehicles are regarded as the constant power models.According to the model of HVAC in this paper, a temperature adjustment strategy based on equal loss of comfort level is raised. To maximize the curtailment of HVAC load and take in consideration of stability, the temperature adjustment strategies will be optimized. Thus the temperature adjustment plan which meet the goal of curtailment will be reached. According to the combinatorial optimization model of building flexible loads, the HVAC temperature adjustment plan will be improved by the strategies of lighting devices and electric vehicles. Then the peaking plan of building loads which meet the stability demand will be reached, which will help to summarize the curtailment character of each kind of building loads. The example in chapter 3 shows that the peaking plan of different buildings can be reached and the model can smoothen the curtailment curves of buildings loads effectively.In chapter 4, the peaking capacity of multiple kinds of buildings can be calculated by means of the model of building peaking capacity and the results in chapter 3. Furthermore, model of the day-ahead building peaking dispatch is raised and to help to optimize different building peaking plans, which will meet the demand of systems. The example shows that the day-ahead building peaking schedules can be reached and the effectiveness and economic efficiency of the model can be proved.