Analysis On Power-saving Technology Of Typical Users And Interaction Efficiency Of The Grid-side

Energy conservation and emissions reduction is the current worldwide focus of attention, discussion and research on energy, environment and resource problems. Power, as an important secondary energy, occupies important position in the energy system of the today's society, and is also a main research direction in energy and environmental problems. Currently, the application of electrical energy loss reduction is mainly concentrated in the plant-power and network losses. However, there are fewer implementation methods in the study of power loss reduction. Because of plenty of power load, relatively many types, the general strategy cannot achieve the goal of loss reduction. Besides, the grid companies attach less importance to power loss reduction.In the thesis, based on the present situation of low terminal power utilization efficiency in China, industry and much power-saving potential in various industries and among residents, the typical big user power-saving potential exploration technology and grid load interaction efficiency were researched. The research aimed to more effectively guide the users to implement reasonable utilization strategy, improve the rate of equipment utilization of distribution network, reduce the investment cost of distribution network and the power loss, cultivate users' good habits using electricity, reduce users' electricity cost, cut down power equipment investment and maintenance cost, and achieve the efficiency maximization of power grid and users. The main research contents of the thesis include the following aspects:1) Clustering load. The scheme took K-means cluster analysis as the theory basis, and the actual user load curve as the sample. Cluster analysis was conduced on the load characteristics of many users and different load characteristics of the same big user. The users in the same class had the same or similar characteristic value, change rule and developing trend. The load for the same kind has high compactness, while that for different kinds has high separation. The simulation classification of load was achieved in Matlab for the different loads of the same big users.2) Grid load interaction optimization model. The characteristics of each type of load curve were mainly studied. By combining with the price-based demand side management technology, and considering the action behavior whether users participate or not and the multidimensional constraint condition of grid-side impact, Grid load optimization model with loss reduction as the core was established so as to smooth the user load curve and realize “peak clipping”, “peak shifting” and “valley filling”.3) User power-saving technology. The traditional grid power-saving technology was applied to the load side, mainly including circuit transformation, compensation equipment investment, operation mode optimization and the economic operation of transformer. The main innovation points of the part are as follows: by combining the conclusions of grid optimization model, the efficiency brought by the application of different power-saving technologies by the load side after “peak load shifting” was studied and comprehensive loss reduction technology solutions were provided to users. The loss reduction efficiency of the different load modes were verified in the simulation example.4) Grid-side efficiency analysis. After optimization, each type of load curve showed a relatively smooth trend and there were good change trends for the distribution network power loss, maintenance and safe operation. Besides, simulation verification was carried out on the economical operation of load-side superior substation transformer.