Research On The Optimization Method Of Active Distribution Network Price Based Load Electricity Price

With the continuous development of smart grids,demand response technology is widely used in distribution network.Power supply companies not only need to provide high quality electricity,but also ensure the reasonableness of electricity prices.The impact of price-based loads on the operation of distribution grids is becoming more and more important,because pricebased loads will change their electricity consumption behaviour according to the published prices and actual electricity demand,which has an important impact on the economy and stability of the grid.It is of great significance to study the way to formulate reasonable electricity prices under smart grids and guide users to change their electricity consumption behaviour for the development of smart grids.Based on the price-based load demand response mechanism,this thesis studies the optimization and formulation of electricity prices for active distribution networks.The main tasks are as follows:(1)Focusing on the issue that the establishment of electricity prices should take into account the grid stability as well as the the interests of the network side and users,an grid side of the active distribution network economic model has been established maintenance power sales revenue,costs of distributed power equipment such as wind and solar,and wind abandonment costs;on the users side,a price-based load demand response model is constructed using the tariff elasticity coefficient matrix,in order to analyse changes in the behaviour of users’ electricity demand under different tariffs two user satisfaction evaluation indicators has been established:electricity satisfaction and electricity tariff satisfaction;to ensure electricity prices instability of the grid caused by changes,the forward-backward method is used to solve the power flow of the distribution network,and then established the voltage and power constraints for the stable operation of the grid,further more an active distribution grid tariff optimization model that takes into account grid economy,customer satisfaction and grid operation stability is established.(2)In view of the uncertainty factors in the price-based demand response process,analyzing the impact of uncertainty in the price elasticity coefficient on the uncertainty of the load response quantity,an uncertainty load response model is established,using the normal distribution probability density function to express the distribution of the load response quantity,as well as using the magnitude of the standard deviation to express the fluctuation range of the load response;in order to solve for the grid changes under uncertain load,the probability.The probabilistic tide model is constructed to solve the grid changes under uncertain load,and the probabilistic tide is solved jointly by the point estimation method and the forward back substitution method to ensure the stability of the grid.(3)In the model solving,the particle swarm algorithm is improved based on the separation and comparison method,and the simulation is verified using the IEEE 21-node distribution network system.The results show that the real-time electricity price optimization method for price-based loads that considers user satisfaction has higher distribution network revenue and user satisfaction,and the real-time electricity price optimization method that takes into account the uncertainty of price-based loads has the same effect on fluctuations of varying degrees of load uncertainty.The studied methods all have lower network losses and higher utilisation of distributed energy,achieving economic and reliable operation of the active distribution network.