Discussion and Technical Application of Integrated Energy Planning

Low carbon economy is an inevitable trend of social development. Distributed energy, smart grid and Internet technology are more and more widely used Based in variety of energy requirement, a integrate energy planning method for is discussed, which include technic of multiload forecasting, energy integrate and smart grid design. The various steps and the application of the technology to be described in the article. Relevant cases at home and abroad will be introduced in this paper. The brief situation of the project, experience and technical applications are described. Background Low carbon economy is an inevitable trend of social development. Great changes have been taken place in development mode of energy and power. Distributed energy, smart grid and Internet technology are more and more widely used in our life. In the new urban construction, green development, intensive layout, intelligent management is the main focus. This is shown as follows: Figure 1. Key factor of Smart city. New problems are faced in Energy integration, supply quality, and economic efficiency with application of smart grid, many city construct projects have applied integrate energy planning technology. In this paper, a integrate energy planning method for is discussed. This method is based on Multitime scale forecasting power and energy balance and influence analysis of power grid. In addition, relevant cases at home and abroad will be introduced in this paper. The brief situation of the project, experience and technical applications are described. Technical Discussion Demand Forecasting According to the requirements and characteristics of the multi energy configuration, the multienergy energy demand forecasting mainly includes data processing, multi-time scale and multi energy conversion. The main procedure of demand forecasting discussion is shown as follows: Figure 2. Main procedure of demand forecasting. In data procession: Energy demand of city layout including electrical power, cold and heat load of the building in the area can be obtained through the different users. These are the foundations of the load history database. Figure 3. Typical load curve of a factory. The conversion of multi energy sources is mainly determined by the unified conversion parameter such as kw, kcal and so on. In the process, a converting unified unit of the program will be configured. The year scale data can be obtained from by economic and industrial development. Multiple linear fitting method is used to convert the time scale. The results of different time scales are obtained for balance and operation simulating, for the basis for different energy allocation schemes. Energy Integrated Based on energy demand of the area, method of energy integrated will be discussed. Various energy sources be optimized from the technical and economic aspects. First, database of energy supply components will be established. Technical and economic parameter will be input and classified. Figure 4. Component of energy supply. According to local conditions, a variety of energy allocation schemes will be proposed, including schemes of External supply, efficient use plan, green energy and so on. The optimization model of decision variables is mainly considered. In the case of energy demand. All kinds of schemes will be comprehensively analysed and compared. Technical, economic and social benefits have their own coefficients. The unified comparative scale is adopted such as currency. This integrated method compares and analyses the various traditional energy production and new energy production in utilization plans. This is shown as follows: Figure 5. Procedure of integrated method.