Power Optimal Dispatch Of Active Distribution Network Based On Supply And Demand Interaction

Active distribution network contains distributed power sources and diversified loads.However,due to the fluctuating and intermittent characteristics of distributed power generation,its grid connection increases the peak-to-valley difference in power grid load and reduces the system's safe operation stability.While the system is flexible,it also puts forward higher requirements for operation scheduling.With the intelligent development of the power grid,the interaction between the power grid and users is gradually stubborn.the traditional power distribution network,the active power distribution network can comprehensively use demand-side management and supply-side coordination and optimization.Management,through coordinated interaction between source and load.Early research focused on the power supply side.With the development of new concepts such as the Energy Internet and related technologies,demand side management has also received more and more attention.The development of demand-side management technology provides a new idea for the optimal dispatching of active distribution networks.Among them,demand-side response is one of the solutions for demand-side management,which can suppress the fluctuation of distributed power generation,improve system operation safety and economy Sex.Therefore,in order to mitigate the adverse impact of distributed power grid connection on the power grid,participating in the system operation through demand-side response and rationally scheduling it can effectively improve the utilization efficiency of distributed power,so as to meet future load growth requirements.The purpose of delaying grid investment.Demand response can be divided into incentive-type and price-type demand response.Aiming at the characteristics of distributed power and demand-side incentive response,the operation cost,purchase cost,load cut cost,distributed energy generation operation cost,battery energy storageoperation cost,and demand-side incentive response of active power distribution network units are included in the target Function,integrating the complex constraints such as uncertainties in renewable energy,the rate at which the unit climbs,the charge and discharge power of battery storage,and system energy balance,etc.while simultaneously taking into account customer satisfaction The objective is to optimize scheduling,analyze the coordination relationship between user-side satisfaction and supply-side economics,so that dispatchers can choose between a supply-side and a demand-side compromise.On this basis,the price-type demand response is included in the demand-side response model,and the consumer psychological model is introduced.The impact of the simultaneous effect of the incentive and price-type demand response on the operation of the active distribution network is considered,and the price is used as an optimization variable.Ensure system safety margin,reduce distribution network operation costs,improve user satisfaction,and reduce peak-to-valley differences.Finally,due to the numerous equality constraints,complex inequality constraints and dynamic constraints such as charge-discharge law and random output,an effective treatment mechanism ofcomplex constraints is proposed forhigh-dimensional dynamic energy scheduling.