Research On Reactive Power Pricing And Reactive Power Optimization Model In Power Market Environment

A reactive service is generally regarded as one of the most important services in the electricity market services. Firstly, the stability of the power system needs to be supported by an appropriate amount and rational allocation of reactive services. Secondly, optimizing reactive service configuration can further improve the rational allocation and active transactions for the purpose of improving the efficiency of the power system. Furthermore, the most direct means for reducing losses in the electricity market environment is to regulate the distribution of reactive power, which can be achieved to reduce the power losses of the system. From the point of view of electricity services, reactive support can improve the voltage waveform, diminishing the impact on the grid overvoltage for safety and equipment insulation life. With the new distributed energy generation and constantly running into the grid, due to the distributed energy dispersed, random and intermittent characteristics, appeared harmonic pollution, voltage instability and voltage flicker and other issues, leading to grid security stability are facing new challenges, how to make the deployment of resources and play equipment for reactive power system stability is very important regulatory role, as well as economic benefits and overall effectiveness of the power system of the country each supplier of energy saving, the use of reactive power pricing and Reactive Power Optimization measures to achieve an incentive for vendors to actively improve reactive support service goals, and ultimately economic optimization by integrating the deployment and efficient use of resources to achieve. To sum up the electricity market environment reactive and reactive pricing optimization model is a very important issue.In this study, distributed energy grid run continuously in the background, based on the characteristics of the electricity market for reactive power load forecasting, pricing and reactive power optimization model launched a research question, which lead a evaluation about the effect on reactive optimizing.The study includes the following aspects:(1) On the basis of load forecasting study, a comprehensive analysis of the various forecasting methods, presents a forecasting model that combine a time series with support vector machines, using the model to predict the reactive load, and using the relative root mean square error of prediction RMSRE to assess the effect, examples prove that the combination of high accuracy of the model of reactive power load forecasting has strong applicability.(2) After full consideration of distributed energy systems connected to the grid security and stability issues, based on the classic reactive pricing model, established a new reactive pricing model based on the stable voltage, by calculating a new simulation model to guide rational consumption and enhance the power system security and stability of double effect. The new model has a non-linear characteristics, the establishment of a new algorithm into (a combination of immune algorithm to improve multi-center-Correction interior-point method).This method has high accuracy and efficiency by comparing a variety of algorithms.(3) This paper established a reactive economic dispatch model that considers new energy generators distributed portfolio, using the model of economic dispatch reactive power optimization calculation to IEEE-14node example, the analysis calculated the trend with or without considering the network constraints and generator reactive power output and a variety of situations, such as N-1fault set optimization results, got to meet the power system security constraints and generating significant economic plan.(4) Finally, the paper reactive power optimization results were evaluated, a comprehensive analysis of a variety of evaluation methods, combined with the characteristics of reactive services and data features, build reactive effect evaluation index system, using a perspective based on their own decisions and packet DEA method of combining the effect of reactive power optimization conducted a comprehensive evaluation, the conclusions show that the effect of reactive power is obvious after optimizing reactive.