The Research Of Voltage And Reactive Power Optimization Control Based On Load Forecasting

Nowadays,with the rapid development of the economy,electricity customers appeal for higher and higher requirement of voltage quality.By utilizing the technological means of the reactive voltage control,we can improve the quality of voltage,decrease reactive power flowing on the wire and improve the receiving power factor to make the direct influence on the stable running of power system,reducing the wastage on wire and others,such as ensuring the safety of industrial and agricultural production,improving the quality of production and reducing power loss.However,the current technology of automatic voltage and reactive power control has lots of deficiencies.Such as,it cannot reflect interrelationship of voltage and reactive power,it will immediately generate call-back after taking measures to regulate the voltage,and it will lead to the lockout and failure to operate of the voltage control machine.All those ask for higher requirement of the optimization of automatic voltage control system.In this paper,the research that contraposes the optimization control of voltage and reactive power is mainly to study the traditional automatic control system of voltage and reactive power.By thoroughly analyzing the basic principles,control models and control strategies of AVC system,contraposing the limitations during the voltage and reactive power control,this paper will research the artificial neural network algorithm which is applied to short-term load forecasting in power system.By using the BP neural network algorithm,the short-term load curve can be forecasted according to the collected historical voltage and load curve combined with the actual characteristics of the local power grid which can be compared with the actual data and prediction results of other forecasting models.Finally,the bus line in a typical substation will be selected as the object under verification,by forecasting the data before a typical day and the strategies of intention movement which compatible to the requirement of voltage achieved by optimization model algorithm.By comparing the voltage curves before and after the application of the optimization model,it is shown that by using this optimization model algorithm,the times of regulating voltage can be reduced and then the probability of the lockout and failure to operate of the voltage regulating machine also can be reduced.And in the end,the optimal control of voltage and reactive power can be realized.In this paper,the influence of the variation trend of grid load act on voltage can be analyzed by using optimization model algorithm through the short-term forecast of load and research about the optimization control of voltage and reactive power.Then measures can be taken in advance.In this way,the times of regulating voltage and the probability of voltage fluctuation can be effectively reduced and the quality of voltage will be improved.