A method for optimal sizing and siting of distributed photovoltaic and energy storage in a distribution network

considering coordinated optimization of reactive power compensation devices

is proposed to address issues such as voltage quality degradation

increased network losses

and reduced photovoltaic absorption capacity caused by improper location and capacity planning of distributed photovoltaic and energy storage.This method first determines the grid connection locations of distributed photovoltaic and energy storage based on network loss sensitivity and dynamic voltage stability index.Subsequently

a collaborative optimization configuration is employed utilizing distributed photovoltaic

energy storage

capacitor banks

and static var compensators

constructing a source-network-storage collaborative optimization bi-level planning model to determine the configuration capacity of distributed photovoltaic and energy storage. Furthermore

to effectively solve this bi-level model

the upper and lower models are transformed into a single-level model through associative modeling

followed by transforming this single-level model into a mixed integer second-order cone programming model using second-order cone relaxation and the Big-M method. Four scenarios are set up for simulation on the IEEE 33-node distribution system. The results indicate that the location and capacity of distributed photovoltaic and energy storagein the distribution network are determined using this method

not only is the photovoltaic absorption capacity and voltage quality improved

but thelifespan of capacitor banks is extended

and network losses are significantly reduced

thus verifying the effectiveness of the method.