| In recent years,the proportion of new energy represented by wind power and solar photovoltaic power generation has surpassed traditional power sources and has become the main force of power generation in the entire grid.At the same time,the load side is widely connected to adjustable resources such as adjustable loads and energy storage.The traditional distribution network is gradually transforming into an active distribution network with the participation of many controllable sources and active management capabilities.Although the active distribution network has richer controllable resources,its random power distribution and complexity of operating conditions pose new challenges to grid regulation.This article has carried out in-depth research on the "source-load" coordinated active distribution network planning and operation optimization dispatching,and the main tasks completed are as follows:(1)An optimal allocation scheme for ADN based on electric spring(ES)and capacitor bank(CB)is proposed.Based on the proposed power spring grid-connected power flow control strategy,a two-level planning operation model that takes into account operation economy and safety is established.The upper-level planning model optimizes the installation location and capacity of ES and CB with the goal of minimum annual comprehensive cost.The lower-level operation formulates the pre-action timetable to determine the CB action authority,and optimizes the scheduling of ES,CB,and RESs equipment in different scenarios.It aims to reduce the network loss while improving the quality of the grid voltage and reducing the risk of voltage violations.Finally,a bi-level hybrid particle swarm optimization algorithm was employed to solve the established models.(2)A multi-time scale flexible dynamic coordination optimization scheduling model for active distribution network with smart load participation regulation is proposed to fully explore the potential of flexible resources on both the supply and demand sides.Based on renewable energy and load forecast data,the long-term-scale updates the output order of dynamic regulation equipment(renewable energy,energy storage systems)and coordinates interruptible load curtailment within the net load fluctuations constraints to retain sufficient flexibility margin.The power generation plan achieves the optimization goal of maximize the profile and minimize the net load fluctuation.Short-term-scale optimization introduces smart loads to utilizes the load-side demand response potential and expands the margin of flexibility.Meanwhile,the operating costs are further reduced and the voltage limit is eliminated by considering the user power utility.(3)A cluster optimization control model considering power uncertainty is proposed.First,the Gaussian mixture model is used to describe the power prediction error on both sides of the source load to determine the power fluctuation interval to obtain the source-load side uncertainty output model.Secondly,a comprehensive index system including modularity index,net load volatility and reactive power reserve index was established for cluster division.Then,with the overall operating cost and minimum voltage deviation as the optimization goals,a distribution network cluster control model based on a certain confidence level is constructed.Finally,the solution of the controllable source output under extreme operating scenarios is solved to improve the system’s ability to deal with uncertain disturbances while ensuring operating economy. |
