Research Of Optimal Reactive Power Distribution System And Energy-saving Technology In Urban And Rural Areas And Enterprises

With the rapid development of our country national economy, the power grid load and the rapid increase in capacity, distribution network of economic problems have become an increasing importance. Loss of China's distribution network, the voltage passing rates, and other technical indicators and a large gap between the developed countries, the distribution network loss rate remains high, affecting electricity supply and the economic efficiency of enterprises. Rational allocation of reactive power compensation to reduce the loss distribution network, save power and improve the quality of power supply is important.In this paper, the current status of reactive power compensation, applied to optimize the distribution network of reactive power compensation and the trend of genetic algorithms have been studied, the existing research results on the basis of further improve and enhance its ability to optimize the analysis.First analyzed and compared various trends of the algorithm and reactive Optimization of the status quo, summed up the principle of reactive power compensation and fundamental way, summed up the advantages and disadvantages of various methods.The trend in the traditional method of distribution network convergence to the defects, using the appropriate distribution network and the principle of a simple turn of iterative algorithm. Quality assurance in voltage, under the premise of power loss to the additional cost of reactive power compensation and the investment costs of equipment and the establishment of a minimum in line with the principle of the actual distribution network optimization reactive compensation model.In this paper, combining the characteristics of power distribution network, made possible by a simple sensitivity analysis of reactive power compensation to choose locations.The traditional genetic algorithm has made a series of strategies to improve: According to tap transformers and capacitors for all the stalls are integral, using decimal integer coding; Custom initial population by the formation of ways in which the initial distribution to the entire population of space; dynamic cross-rate and cross-rate variability and variation, speed up the convergence rate. After the search algorithm to improve the capacity and shorten the search time, to enhance stability, while maintaining the conventional genetic algorithm merits. The results show that example algorithm distribution network optimization Loss Reduction energy-saving effect of significantly improving.Loss of electric power distribution network in accordance with the reasons put forward a series of Loss Reduction and energy-saving measures. Loss Reduction of technical measures mainly optimize network structure, a reasonable choice wire interface, adjusted peak load to fill Consumers Valley, the three-phase balanced distribution network load, transformers and economic operation of reactive power compensation; Loss Reduction of the management measures for a brief introduction; against transformers, and electrical wires cross-section to a reasonable energy-saving measures; Finally, the DSM's energy-saving way to elaborate.